DPLL) Using Pipelined Carrier Synthesis Techniques

Total Page:16

File Type:pdf, Size:1020Kb

DPLL) Using Pipelined Carrier Synthesis Techniques ISSN: 2278 – 909X International Journal of Advanced Research in Electronics and Communication Engineering (IJARECE) Volume 2, Issue 1, January 2013 High speed all digital phase locked loop (DPLL) using pipelined carrier synthesis techniques T.Kranthi Kiran, Dr.PS.Sarma polynomial approximation, e.g. Taylor series. But it requires Abstract— DPLLs are used widely in communications a considerable amount of hardware space on the silicon systems like radio, telecommunications, computers and other substrate. Interpolation method using table look-up may be electronic applications. Digital PLLs are a type of PLL used to the other solution. But it also requires large number of gates synchronize digital signals. While DPLLs input and outputs are and ROM memory. The CORDIC offers the opportunity to typically all digital, they do have internal functions which are calculate the desired functions in a simple and efficient way. dependent on analog signals. This project deals with the design Due to the simplicity of the involved operations, the of pipelined architecture for coordinate rotation algorithm for the computation of loop performance of complex Digital Phase CORDIC realization of complex DPLL is very well suited in Locked Loop (DPLL). For on-chip application, the area VLSI hardware design and its implementation. This paper reduction in proposed design can is achieved through first describes the CORDIC algorithm and then pipelined optimization in the number of micro rotations. For better loop architecture design [7]. Thereafter, implementation with performance of second order complex DPLL and to minimize adjustment of micro- rotation has been described. Finally quantization error, the numbers of iterations are also CORDIC realization of a complex phase locked loop is optimized. Modelsim Xilinx Edition (MXE) and Xilinx ISE will described. be used simulation and synthesis respectively. The Xilinx Chipscope tool will be used to test the FPGA inside results while the logic running on FPGA. The Xilinx Spartan 3 Family FPGA development board will be used this project. Index Terms—CORDIC, Digital Signal Processing, Pipelined II. CORDIC ALGORITHM Architecture, DPLL, Micro-rotation, Loop performance. The Volder’s CORDIC algorithm [1] is derived from the general equations of vector rotation. The theory of CORDIC computation is to decompose the desired rotation angle into I. INTRODUCTION the weighted sum of a set of predefined elementary rotation CORDIC algorithm was first developed by Jack E. Volder in angles. Each of them can be accomplished with simple shift 1959 [1]. CORDIC algorithm is extremely useful in efficient add operation for a desired rotational angle θ. It can be T and effective implementation of DSP systems [2]. This represented for M iterations of an input vector (x,y) setting algorithm allows implementation of trigonometric functions initial conditions: x0=x, y0=y,and z0= θ as like sine, cosine, magnitude and phase with great precision by using just simple shift and adding operations [1-4]. Although the same functions can be implemented using multipliers, variable shift registers or Multiply Accumulator (MAC) units, but CORDIC can implement these functions If zf=0 holds, then efficiently while saving enough silicon area which is considered to be primary design criteria in VLSI technology. This paper designs first order complex DPLL using CORDIC which functions as a FSK demodulator [6]. In digital PLL, an adjustable local sine wave generator and phase detector is required. The sine and cosine terms can be calculated using i.e. the total accumulated rotation angle is equal to θ. δi , 0 ≤ 1≤ M-1denote a sequence of ±1s that determine the direction of each elementary rotation. When M is the total Manuscript received jan2, 2013. number of elementary rotation angles, i-th angle αi is given T.Kranthi Kiran, M.Tech VLSI-SD, Aurora Technological and Research Institute, JNTUH, Hyderabad, India, Mobile No:9704481664 Dr.PS.Sarma, professor of ECE Department & Dean of Academics , Aurora Technological and Research Institute, JNTUH, Hyderabad, India, Mobile No:9490755593. 11 All Rights Reserved © 2012 IJARECE ISSN: 2278 – 909X International Journal of Advanced Research in Electronics and Communication Engineering (IJARECE) Volume 2, Issue 1, January 2013 by: CORDIC architecture [4] only adder/ subtractor is used. The shift operations are hardwired using permanent oblique bus -i connections to perform multiplications by 2 . The precomputed values, as given in Table I, of i-th iteration angle αi required at each module is stored at a ROM memory location. The delay is adjusted by using proper bit-length in the shift register. Since no sign detection is needed to force where m=0, 1 and -1 correspond to the rotation operation in zf=0, the carry save adders are well suited in this architecture. linear, circular, and hyperbolic coordinate system The use of these adders reduces the stage delay significantly. respectively. For a given value of θ, the CORDIC iteration is With the pipelining architecture, the propagation delay of the given by: multiplier is the total delay of a single adder. So ultimately the throughput of the architecture is increased to many folds as the throughput is given by: ―1/(delay due to a single adder)‖. If an iterative implementation of the CORDIC is -1 -i used, the processor would take several clock cycles to give where α i = tan 2 . In case of counter clockwise rotation of a vector, the recursively updated equations are output for a given input. But in the pipelined architecture, each pipeline stage takes exactly one clock cycle to pass one output [5]. The equations can be simplified in the form of : -i Here, tan αi is restricted to ± 2 . Thus, multiplication is transformed to an arithmetic right shift. Since cosine is an even function, therefore cos(α )= cos(−α ) The iterative equation can be reduced to- Where is known as gain factor for each iteration. If M iterations are performed, then scale factor, K, is defined as the multiplication of every Ki. So, The elementary functions sine and cosine can be computed using the rotation mode of the CORDIC algorithm if the initial vector starts at ( |K| ,0) with unit length. The most recurrent problem for a CORDIC implementation is overflow. Since the first tangent value is 20=1 then rotation range will be [−π /2,π/ 2]. The difference in binary representation between these two angles is one bit.Overflow arises when a rotational angle crosses a positive right angle to a negative one. To avoid overflow, an overflow control is added. It checks for the sign of the operands involved in addition or subtraction and the result of the operation. If an overflow is produced, the result keeps its last sign without affecting the final result. In the overflow control, the sign of z determines whether addition or subtraction is to be i performed. III. PIPELINED ARCHITECTURE OF CORDIC In Pipelined CORDIC architecture, number of rotational modules are incorporated and each module is responsible for one elementary rotation. The modules are cascaded through intermediate latches (Fig. 1). Every stage within the pipelined 12 All Rights Reserved © 2012 IJARECE ISSN: 2278 – 909X International Journal of Advanced Research in Electronics and Communication Engineering (IJARECE) Volume 2, Issue 1, January 2013 ( a ) ( c ) Fig 2 : Simulation Results of All DPLL ( b ) 13 All Rights Reserved © 2012 IJARECE ISSN: 2278 – 909X International Journal of Advanced Research in Electronics and Communication Engineering (IJARECE) Volume 2, Issue 1, January 2013 IV. BLOCK DIAGRAM OF ALL DPLL DDS is used for carrier generation. All the blocks are Fig 3: Top Level Block Diagram All DPLL connected with common clock and reset signals. The delta phase value decides the phase increment for each clock pulse. Hence decides the resulting signal frequency. The Frequency modulating instantaneous value is added to the delta phase Proposed All DPLL consists of: value which causes instantaneous change in frequency. Due to the digital nature of the modulator only at each clock tick 1. DDS the modulating signal value shall affect the resulting frequency. The phase accumulator produces accumulated 2. Filters phase value for each clock pulse. In case if the DDS is used for phase modulation then instantaneous phase modulating 3. Arc tan estimator signal value is added to the phase output of phase accumulator. 4. Loop Filter (PID controller) This resulting phase value is given to the four Look Up Tables. Each Look Up Table is configured to produce a 1. DDS specific waveform. The outputs of four Look Up Tables are given to the input lines a 4 to 1 Multiplexer. This multiplexer connects one of the inputs to the output depending on the select lines. The output of Multiplexer consists the 8 amplitude bits which is the final output in case required modulation schemes are FM or PM. In case of Amplitude modulation, the output of Multiplexer is multiplied with instantaneous modulating signal. In three modulation schemes if modulating signal is analog in nature then an appropriate Analog to Digital converter is required to convert into 8 bit digital output. From the figure 4 the basic blocks in DDS can be identified as PIPO registers, adders, Look Up Tables and other combinational circuits. The ModelSim tool from Mentor Graphics is used, for simulation and functional verification of DDS. Fig 4: Basic Block Diagram of DDS VHDL has been used as design entry method for all these blocks. Xilinx ISE (Integrated Software Environment) XST (Xilinx Synthesis Tool) is used as a synthesis tool to implement the design on Spartan-3E FPGA. Chipscope pro is used for analyzing the implemented design. 14 All Rights Reserved © 2012 IJARECE ISSN: 2278 – 909X International Journal of Advanced Research in Electronics and Communication Engineering (IJARECE) Volume 2, Issue 1, January 2013 a.PIPO n bit generic register: The Parallel in Parallel Out four look up tables are same.
Recommended publications
  • Low Power Asynchronous Digital Signal Processing
    LOW POWER ASYNCHRONOUS DIGITAL SIGNAL PROCESSING A thesis submitted to the University of Manchester for the degree of Doctor of Philosophy in the Faculty of Science & Engineering October 2000 Michael John George Lewis Department of Computer Science 1 Contents Chapter 1: Introduction ....................................................................................14 Digital Signal Processing ...............................................................................15 Evolution of digital signal processors ....................................................17 Architectural features of modern DSPs .........................................................19 High performance multiplier circuits .....................................................20 Memory architecture ..............................................................................21 Data address generation .........................................................................21 Loop management ..................................................................................23 Numerical precision, overflows and rounding .......................................24 Architecture of the GSM Mobile Phone System ...........................................25 Channel equalization ..............................................................................28 Error correction and Viterbi decoding ...................................................29 Speech transcoding ................................................................................31 Half-rate and enhanced
    [Show full text]
  • The Digital Signal Processor Derby
    SEMICONDUCTORS The newest breeds trade off speed, energy consumption, and cost to vie for The an ever bigger piece of the action Digital Signal Processor BY JENNIFER EYRE Derby Berkeley Design Technology Inc. pplications that use digital signal-processing purpose processors typically lack these specialized features and chips are flourishing, buoyed by increasing per- are not as efficient at executing DSP algorithms. formance and falling prices. Concurrently, the For any processor, the faster its clock rate or the greater the market has expanded enormously, to an esti- amount of work performed in each clock cycle, the faster it can mated US $6 billion in 2000. Vendors abound. complete DSP tasks. Higher levels of parallelism, meaning the AMany newcomers have entered the market, while established ability to perform multiple operations at the same time, have companies compete for market share by creating ever more a direct effect on a processor’s speed, assuming that its clock novel, efficient, and higher-performing architectures. The rate does not decrease commensurately. The combination of range of digital signal-processing (DSP) architectures available more parallelism and faster clock speeds has increased the is unprecedented. speed of DSP processors since their commercial introduction In addition to expanding competition among DSP proces- in the early 1980s. A high-end DSP processor available in sor vendors, a new threat is coming from general-purpose 2000 from Texas Instruments Inc., Dallas, for example, is processors with DSP enhancements. So, DSP vendors have roughly 250 times as fast as the fastest processor the company begun to adapt their architectures to stave off the outsiders.
    [Show full text]
  • On Performance of GPU and DSP Architectures for Computationally Intensive Applications
    University of Rhode Island DigitalCommons@URI Open Access Master's Theses 2013 On Performance of GPU and DSP Architectures for Computationally Intensive Applications John Faella University of Rhode Island, [email protected] Follow this and additional works at: https://digitalcommons.uri.edu/theses Recommended Citation Faella, John, "On Performance of GPU and DSP Architectures for Computationally Intensive Applications" (2013). Open Access Master's Theses. Paper 2. https://digitalcommons.uri.edu/theses/2 This Thesis is brought to you for free and open access by DigitalCommons@URI. It has been accepted for inclusion in Open Access Master's Theses by an authorized administrator of DigitalCommons@URI. For more information, please contact [email protected]. ON PERFORMANCE OF GPU AND DSP ARCHITECTURES FOR COMPUTATIONALLY INTENSIVE APPLICATIONS BY JOHN FAELLA A THESIS SUBMITTED IN PARTIAL FULFILLMENT OF THE REQUIREMENTS FOR THE DEGREE OF MASTER OF SCIENE IN ELECTRICAL ENGINEERING UNIVERSITY OF RHODE ISLAND 2013 MASTER OF SCIENCE THESIS OF JOHN FAELLA APPROVED: Thesis Committee: Major Professor Dr. Jien-Chung Lo Dr. Resit Sendag Dr. Lutz Hamel Nasser H. Zawia DEAN OF THE GRADUATE SCHOOL UNIVERSITY OF RHODE ISLAND 2013 ABSTRACT This thesis focuses on the implementations of a support vector machine (SVM) algorithm on digital signal processor (DSP), graphics processor unit (GPU), and a common Intel i7 core architecture. The purpose of this work is to identify which of the three is most suitable for SVM implementation. The performance is measured by looking at the time required by each of the architectures per prediction. This work also provides an analysis of possible alternatives to existing implementations of computationally intensive algorithms, such as SVM.
    [Show full text]
  • General Purpose Processors And
    Benchmarking Microprocessors for High-End Signal Processing Stephen Paavola SKY Computers Phone: 978-250-1920 Email Address: [email protected] There are a number of general-purpose methodology was chosen because the microprocessor architectures which, while not benchmark is intended to measure bandwidth, designed for high-end signal processing, might not computational performance. provide the processing performance required for complex radars, signal intelligence and other As might be expected, the 800 MHz Broadcom demanding applications. But how well does each BCM1250, with the lowest operating frequency really perform as a digital signal processor? of the group, also has the lowest bandwidth, whether the access is to L1 or L2 cache. Despite To answer this question, some simple the fact that this dual-processor chip has benchmarks were run on a 1GHz Freescale integrated memory controllers, it still lags behind 7447 PowerPC, 1.8 GHz IBM 970 PowerPC, 1.8 the other processors when accessing DRAM. GHz AMD Opteron and 800 MHz Broadcom MIPS-based 1250 chip. Memory Read Bandwidth The bottom line of this set of benchmarks is that 20.0 the PowerPC with AltiVec produces impressive 18.0 computational performance compared to the 16.0 14.0 other processors considered. Now that IBM is s) / B 12.0 1.8 GHz Opteron shipping its PowerPC 970 with AltiVec, there is a G 1 GHz 7447 h ( t 10.0 d 1.8 GHz 970 processor alternative that addresses the i w 8.0 800 MHz Broadcom d memory bandwidth limitations of the 7447. n 6.0 Ba Yet, despite the strengths of AltiVec, the 4.0 benchmarks revealed that the alternative 2.0 0.0 1 2 4 8 6 2 4 8 6 2 2 processors offer some interesting capabilities for 1 3 6 2 24 48 96 9 1 25 51 0 0 0 1 2 4 81 particular types of signal processing.
    [Show full text]
  • CORDIC Co-Processor Architecture for Digital Signal Processing Applications
    A Fast CORDIC Co-Processor Architecture for Digital Signal Processing Applications Javier O. Giacomantone, Horacio Villagarcía Wanza, Oscar N. Bria CeTADΗ – Fac. de Ingeniería – UNLP [email protected] Abstract The coordinate rotational digital computer (CORDIC) is an arithmetic algorithm, which has been used for arithmetic units in the fast computing of elementary functions and for special purpose hardware in programmable logic devices. This paper describes a classification method that can be used for the possible applications of the algorithm and the architecture that is required for fast hardware computing of the algorithm. Keywords: Computer Architectures, CORDIC, Computer Arithmetic, Hardware Algorithms, Digital Signal Processing Applications. Η Centro de Técnicas Analógico-Digitales. Director: Ing. Antonio A. Quijano. A Fast CORDIC Co-Processor Architecture for Digital Signal Processing Applications Javier O. Giacomantone, Horacio Villagarcía Wanza, Oscar N. Bria CeTADΗ – Fac. de Ingeniería – UNLP [email protected] Abstract The coordinate rotational digital computer (CORDIC) is an arithmetic algorithm, which has been used for arithmetic units in the fast computing of elementary functions and for special purpose hardware in programmable logic devices. This paper describes a classification method that can be used for the possible applications of the algorithm and the architecture that is required for fast hardware computing of the algorithm. Keywords: Computer Architectures, CORDIC, Computer Arithmetic, Hardware Algorithms, Digital Signal Processing Applications. I. Introduction The Coordinate Rotation Digital Computer (CORDIC) is an arithmetic technique, which makes it possible to perform two dimensional rotations using simple hardware components. The algorithm can be used to evaluate elementary functions such as cosine, sine, arctangent, sinh, cosh, tanh, ln and exp.
    [Show full text]
  • DSP Review Homework Spring 2000
    HW1 DSP Review Applications Homework Spring 2015 A Fun Assignment DUE January 28, 2015 Please turn in a typed, paper copy at the beginning of class when the assignment is due. READ SMITH CHAPTER 1 ON WEB or Download 1. Select two applications of Digital Signal Processing from the material discussed in class about Application Areas. Describe the applications in one or two paragraphs. Be as detailed as you can. The more detail, the better your grade. However, do not add a lot of extra information cut from the web. (60 Points) 2. DSP algorithms have long been run on standard computers, on specialized processors called digital signal processor on purpose-built hardware such as application-specific integrated circuit (ASICs). Today there are additional technologies used for digital signal processing including more powerful general purpose microprocessors, field-programmable gate arrays (FPGAs), digital signal controllers (mostly for industrial apps such as motor control), and stream processors, among others. Describe several processors such as the Microchip line of PICdsp processors. Do not give great details of the processor such as its bit length, etc. Describe its capabilities for DSP and possible applications (20 points) 3. Compare the advantages and disadvantages of the following (10 points): Microprocessors with DSP capability Special DSP chips such as the TI families FPGAs and special purpose chips used for DSP OK to use the WEB and even Wikipedia – however GIVE the REFERENCES! Also, if you use abbreviations and mnemonics, please define them in a Glossary – (10 points for references and Glossary.) .
    [Show full text]
  • DSP Processors Got Extinct? (Private Investigation)
    Henryk A. Kowalski Why DSP Processors Got Extinct? (Private Investigation) Electrical & Computer Engineering Faculty of Electronics & Information Technology, Warsaw University of Technology 1 Presentation Outline What is DSP? SOC, ASIC, Embedded System Facts Evidences Conclusion Example Is there a relationship between DSP processors and archaeological research? Summary 2 What is DSP Processor? DSP means: Digital Signal Processing Digital Signal Processor (DSP processor) A digital signal processor (DSP) is a specialized microprocessor with an optimized architecture for the fast operational needs of digital signal processing. 3 SOC – System on Chip A system on chip (SOC) is an integrated circuit (IC) that integrates all components of a computer or other electronic system into a single chip. It may contain digital, analog, mixed- signal, and often radio-frequency functions—all on a single chip substrate. A typical application is in the area of embedded systems. 4 ASIC – Application Specific Integrated Circuit An application-specific integrated circuit (ASIC) is an integrated circuit (IC) customized for a particular use, rather than intended for general-purpose use. For example, a chip designed to run in a digital voice recorder is an ASIC. 5 Embedded System An embedded system is a computer system designed for specific (control) functions often with real-time computing. Physically, embedded systems range from portable devices such as digital watches and MP3 players, to large stationary installations like traffic lights or factory controllers. 6 Fact 1 Many components that were once reported as “DSP chips” are no longer. Rather, they are reported as: Systems on chip (SoC) in categories like ASICs (Application Specific Integrated Circuit) ASSPs (Application Specific Standard Product, as video encoding and/or decoding), - even by traditional DSP chip vendors like Texas Instruments and Analog Devices.
    [Show full text]
  • A Modified CORDIC Processor for Specific Angle Rotation Based Applications
    IOSR Journal of VLSI and Signal Processing (IOSR-JVSP) Volume 4, Issue 2, Ver. II (Mar-Apr. 2014), PP 29-37 e-ISSN: 2319 – 4200, p-ISSN No. : 2319 – 4197 www.iosrjournals.org A Modified CORDIC Processor for Specific Angle Rotation based Applications N.V.Shimna1, E.Konguvel2, Dr.J.Raja3 1,2,3Department of Electronics and Communication Engineering, 1,2Dhanalakshmi Srinivasan College of Engineering, Coimbatore, India. 3Adhiparasakthi Engineering College, Chennai, India. Abstract: CORDIC algorithm provides an efficient way for vector rotation in a plane through a fixed and known angle with high level of accuracy. CORDIC requires only simple shift add operation to estimate the basic elementary functions like trigonometric operations, multiplication, division and some other operations like logarithmic functions, square roots and exponential functions. This rotation of a given vector (xi, yi) is examined by means of a sequence of rotations with fixed angles which results in overall rotation through a given angle or result in a final angular argument of zero. A hardwired pre-shifting scheme in barrel shifters is introduced here to reduce the area and time complexities. An iterative form of calculation is done here for Co- ordinate and angle measurement of the vectors. In this paper simple shifters and adders / subtractors are used for the calculations. A look up table is used to set the values of the constants according to the demand of angle setting for the algorithm. To reduce the complexity and number of resources used single rotation of vectors is adapted. CORDIC is a good choice for hardware solutions such as FPGA in which cost minimization is more important than throughput maximization.
    [Show full text]
  • Novel Digital Signal Processing Architecture with Microcontroller
    Freescale Semiconductor DSP56800WP1 Application Note Rev. 1, 7/2005 Novel Digital Signal Contents Processing Architecture with 1. Abstract .............................................. 1 2. Introduction ........................................ 1 Microcontroller Features 2.1 Overview.............................................. 1 3. Background ........................................ 2 JOSEPH P. GERGEN 3.1 Overview.............................................. 2 DSP Consumer Design Manager 4. Introduction tothe 56F800 Family ..... 2 PHIL HOANG 4.1 DSP56L811 16-bit Chip Architecture.. 3 DSP Consumer Section Manager 5. 56800 16-BIT DSC Core Architecture4 EPHREM A. CHEMALY Ph.D . 6. High Performance DSP Features on a DSP Applications Manager Low Cost Architecture .................. 6 6.1 DSP56800 Family Parallel Moves....... 6 6.2 56F800 Family Address Generation 1. Abstract (AGU)................................................... 7 Traditional Digital Signal Processors (DSPs) were designed to 6.3 DSP56800 Family Computation - the execute signal processing algorithms efficiently. This led to some Data ALU Unit ..................................... 8 6.4 DSP56800 Family Looping Mechanisms serious compromises between developing a good DSP 10 architecture and a good microprocessor architecture. For this, as 7. General Purpose Computing-Ease of well as other reasons, most DSP applications used a DSP and a Programming ............................... 11 microcontroller. This paper presents a new 16-bit DSP 7.1 DSP56800 Programming Model.......
    [Show full text]
  • The Design of a Custom 32-Bit SIMD Enhanced Digital Signal Processor
    Rochester Institute of Technology RIT Scholar Works Theses 12-2017 The Design of a Custom 32-Bit SIMD Enhanced Digital Signal Processor Shashank Simha [email protected] Follow this and additional works at: https://scholarworks.rit.edu/theses Recommended Citation Simha, Shashank, "The Design of a Custom 32-Bit SIMD Enhanced Digital Signal Processor" (2017). Thesis. Rochester Institute of Technology. Accessed from This Master's Project is brought to you for free and open access by RIT Scholar Works. It has been accepted for inclusion in Theses by an authorized administrator of RIT Scholar Works. For more information, please contact [email protected]. The Design of a Custom 32-bit SIMD Enhanced Digital Signal Processor by Shashank Simha Graduate Paper Submitted in partial fulfillment of the requirements for the degree of Master of Science in Electrical Engineering Approved by: Mr. Mark A. Indovina, Lecturer Graduate Research Advisor, Department of Electrical and Microelectronic Engineering Dr. Sohail A. Dianat, Professor Department Head, Department of Electrical and Microelectronic Engineering Department of Electrical and Microelectronic Engineering Kate Gleason College of Engineering Rochester Institute of Technology Rochester, New York December 2017 To my family and friends, for all of their endless love, support, and encouragement throughout my career at Rochester Institute of Technology Declaration I hereby declare that except where specific reference is made to the work of others, the contents of this paper are original and have not been submitted in whole or in part for consideration for any other degree or qualification in this, or any other University. This paper is the result of my own work and includes nothing which is the outcome of work done in collaboration, except where specifically indicated in the text.
    [Show full text]
  • DSP Architecture VASU GUPTA Overview
    DSP Architecture VASU GUPTA Overview . Review of Digital signal Processing . Digital Filter Example . DSP architecture . Speed: General processor vs DSP architecture Digital Signal Processing . Application of mathematical operations on digital signals . Algorithm must have large of mathematical operations to be performed quickly . And repeat on series of data samples . Goal of DSP is measure, filter, compress signal . Real‐time Processing . Specialized Digital Signal Processor . Lower‐cost solution . Better performance . Lower latency DSP Application . Digital Audio application . Radar . Sonar . Image Compression Digital Filter Example . Simple Filter : .Output is sum of product of coefficient and past input values. Digital Filter (Cont.) Digital Filter in DSP . Plan of action . Clear Accumulator . Fetch coefficient and data . MAC . Repeat fetch & MAC until done General‐Purpose Processor (micro) . Not great for DSP algorithm . Von Neumann architecture . Fetch for next instrument . Then another fetch data memory . Buses idle during instruction decode . 1 access/cycle . DSP usually have two operands for fetched . Coef[n]*data[n] . 3‐7 execution cycles for Multiplying Memory . Von Neumann “Bottleneck” .Most DSPs use Harvard Architecture . Separate memories for data and program instructions, they can be fetched at same time. DSP Architecture Feature . ALU centered around Multiply‐Accumulate (MAC) . Large Accumulator . Digital Filter requires accumulated the sum of product . Multiple address generators to handle separate memory spaces . Circular buffer Accumulator . Accumulator register holds intermediate results . Accumulator has extra guard bits for overflow . Ex: 24b x 24b => 48b product, 56b Accumulator Multiplier‐Accumulator (MAC) Circular buffer . Circular buffer in few consecutive memory locations . End of this linear array is connecting to its beginning 320C54x DSP Speed: General Purpose Processor(micro) vs DSP Architecture .
    [Show full text]
  • Choosing the Right Architecture for Real-Time Signal Processing Designs
    White Paper SPRA879 - November 2002 Choosing the Right Architecture for Real-Time Signal Processing Designs Leon Adams Strategic Marketing, Texas Instruments ABSTRACT This paper includes a feasibility report that examines the benefits of seven of the most popular architectures (ASIC, ASSP, configurable, DSP, FPGA, MCU and RISC/GPP) in a direct-comparison format using the following criteria: • Time to Market • Performance • Price • Development Ease • Power • Feature Flexibility Contents 1 Introduction . 1 2 Criteria and Measurement. 2 2.1 An In-Depth Discussion of Real-Time Signal Processing Options. 3 3 Conclusion . 7 Appendix A A Closer Look at the Criteria Used in This Decision-Making Process. 8 A.1 Time to Market (Overall Importance: High). 8 A.2 Performance (Overall Importance: High). 8 A.3 Price (Overall Importance: High). 8 A.4 Development Ease (Overall Importance: High). 8 A.5 Power (Overall Importance: Medium). 9 A.6 Feature Flexibility (Overall Importance: Low). 9 A.7 Other Considerations For Future Comparisons. 9 List of Tables Table 1. Decision Table for Designers of Real-Time Applications. 3 1 Introduction Real-time signal processing and the applications that utilize it are changing the electronics market. Consumers are inundated with new products and technologies that are smarter, faster, smaller and more interconnected than ever, but which ultimately leave them wanting more. They want greater speed, effectiveness and portability, and they want it now. Trademarks are the property of their respective owners. 1 SPRA879 Clearly, this puts tremendous pressure on design engineers who are asked to satisfy these varied demands. They must reduce cost and power consumption while increasing performance and flexibility.
    [Show full text]