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Digital Communications (Ec503pc)

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Digital Communications (Ec503pc) DIGITAL COMMUNICATIONS (EC503PC) 3. Course Objectives Course Outcomes & Topic Outcome COURSE OBJECTIVES To know the functional block diagram of Digital communication system. To explain the need for source and channel coding. To study various source and channel coding techniques. To construct a mathematical model of digital communication system for bit error rate analysis of different digital communication systems. COURSE OUTCOMES At the end of the course, the student will be able to: CO1: Describe basic components of Digital Communication Systems. CO2: Compare different error detecting and error correction codes like block codes, cyclic codes and convolution codes. CO3: Design optimum receiver for Digital Modulation techniques. CO4: Analyze the error performance of Digital Modulation Techniques. CO5: Define spread spectrum and its types. M.N.NARSAIAH Assoc. Professor, Dept. of ECE, KGRCET DIGITAL COMMUNICATIONS (EC503PC) Topic outcome Sr.No. Topic At the end student will be able to Unit-I 1 Elements Of Digital Communication Systems: Define digital communication. Model of digital communication systems, 2 digital representation of analog signal Sketch digital and analog signal 3 certain issues in digital transmission State certain issues in digital transmission 4 Advantages of Digital Communication System Describe Advantages of Digital Communication System 5 Sampling theorem Explain sampling theorem 6 Types of sampling- impulse sampling List types of sampling. 7 natural sampling, flat top sampling Compare natural and flat top sampling 8 Introduction to base band sampling. State baseband sampling. 9 Waveform coding techniques: Discuss PCM generation and PCM Generation and Reconstruction reconstruction. 10 Quantization Noise State quantization noise 11 Non Uniform Quantization and companding Distinguitsh uniform and non uniform quantization. 12 Differential PCM system (DPCM) Explain DPCM 13 Adaptive DPCM Explain adaptive DPCM 14 Delta modulation, its draw backs, adaptive delta Compare DM and adaptive DM. modulation 15 Name noises in PCM and DM. noise in PCM and DM systems. Unit-II 16 Information theory: information, entropy and Define entropy and redundancy redundancy 17 mutual information and information loss due to Define mutual information noise 18 Shannon fano coding, source coding, Huffman Discuss Shannon fano coding coding and Huffman coding. 19 Explain variable length coding Variable length coding, Lempel-ziv coding M.N.NARSAIAH Assoc. Professor, Dept. of ECE, KGRCET DIGITAL COMMUNICATIONS (EC503PC) 20 Source coding to increase average information State source coding per bit, lossy source coding 21 Bandwidth S/N trade off, Hartley Shannon law State Hartley Shannon law 22 Error control codes: Discuss linear block codes. Linear block codes: matrix description of linear block code. 23 State error detection and error Error detection and error correction capabilities of correction capabilities of linear linear block code. block code. 24 Explain cyclic encoding. Cyclic codes: algebraic structure, encoding 25 Discuss syndrome calculation Syndrome calculation and decoding and decoding. 26 Explain convolution codes Convolution codes: encoding and decoding. Unit-III 27 Additive white Gaussian noise (AWGN) Define Additive white Gaussian noise (AWGN) 28 Baseband pulse Transmission: introduction, Explain matched filter. matched filter 29 State error rate due to noise. Error rate due to noise 30 Intersymbol interference nyquist’s criterion for Define ISI distortion less baseband binary transmission. 31 Correlative level coding baseband M-array PAM Explain baseband M-array PAM transmission transmission. 32 Discuss digital subscriber lines Digital subscriber lines 33 Discuss optimal line receiver. Optimal line receiver 34 Explain adaptive equalization. Adaptive equalization 35 Sketch eye pattern Eye pattern 36 Digital pass band transmission: pass band Sketch pass-band transmission transmission model model. 37 Discuss Gram- Schmidt Gram- Schmidt orthogonalization procedure orthogonalization procedure 38 List Geometric interpretation of Geometric interpretation of signals signals 39 State coherent detection of signal Coherent detection of signal to noise ratio to noise ratio. 40 Define probability of error. Probability of error M.N.NARSAIAH Assoc. Professor, Dept. of ECE, KGRCET DIGITAL COMMUNICATIONS (EC503PC) 41 State correlation receiver. Correlation receiver Unit-IV 42 List different Digital modulation Digital modulation techniques: introduction techniques 43 Explain ASK ASK , ASK modulator 44 Coherent ASK detector, non-coherent ASK Explain coherent ASK detector. 45 Explain FSK FSK, bandwidth and frequency spectrum of FSK 46 Explain non-coherent fSK Non-coherent FSK detector 47 Explain coherent ASK Coherent FSK detector 48 Explain coherent FSK FSK detection using PLL 49 BPSK Discuss BPSK 50 Coherent BPSK detection Explain coherent BPSK 51 Discuss QPSK, 8-PSK, 16-PSK QPSK, 8-PSK, 16-PSK 52 Differential PSK Define DPSK 53 Compare ASK, FSK, QPSK, QAM QAM. Unit-V 54 Spread Spectrum Modulation: Use of Spread Define spread spectrum Spectrum, 55 Explain DSSS Direct Sequence Spread Spectrum DSSS 56 Define multiplexing Multiplexing 57 Define CDMA Code division Multiple Access 58 Discuss ranging using DSSS Ranging using DSSS, 59 Define hopping Frequency Hopping 60 Explain FHSS Frequency Hopping Spread Spectrum 61 Explain PN sequence PN – Sequences: Generation 62 Explain PN Sequences PN Sequences Characteristics, Characteristics M.N.NARSAIAH Assoc. Professor, Dept. of ECE, KGRCET DIGITAL COMMUNICATIONS (EC503PC) 63 Discuss synchronization in SS. Synchronization in Spread Spectrum Systems. 64 Explain OSI model OSI model 65 Define fading Introduction to fading M.N.NARSAIAH Assoc. Professor, Dept. of ECE, KGRCET DIGITAL COMMUNICATIONS (EC503PC) 4. COURSE PRE–REQUISITES a. Engineering Mathematics b. Basic Electronics c. Signals and systems d. Analog communications M.N.NARSAIAH Assoc. Professor, Dept. of ECE, KGRCET DIGITAL COMMUNICATIONS (EC503PC) 5. Course Information Sheet 5. a). COURSE DESCRIPTION: PROGRAMME: B. Tech. (Electronics and Communication DEGREE: BTECH Engineering.) COURSE: DIGITAL COMMUNICATIONS YEAR: III SEM: II CREDITS: 4 COURSE CODE: EC503PC COURSE TYPE: CORE REGULATION: R16 COURSE AREA/DOMAIN: Design CONTACT HOURS: 4+1 (L+T)) hours/Week. CORRESPONDING LAB COURSE CODE (IF ANY): LAB COURSE NAME: NIL 5. b). SYLLABUS: Unit Details Hours Elements of Digital Communication Systems: Model of Digital Communication Systems,Digital Representation of Analog Signal, Certain Issues in Digital Transmission, Advantagesof Digital Communication Systems, Sampling Theorem, Types of Sampling – ImpulseSampling , Natural Sampling , Flat – Top Sampling. I Introduction to Baseband Sampling. 15 Waveform Coding Techniques: PCM Generation and Reconstruction, Quantization Noise,Non Uniform Quantization and Companding, DPCM, Adaptive DPCM, DM and AdaptiveDM, Noise in PCM and DM. Information theory: Information and Entropy, Conditional Entropy and Redundancy,Shannon-Fano Coding Mutual information, Information Loss due to Noise, Source coding-Huffman Code, Variable Length Coding, Lempel-ziv coding, Source coding to increaseaverage information per bit, Lossy Source coding, Bandwidth-S/N Trade off, HartleyShannon Law. II Error Control Codes 11 Linear Block Codes: Matrix Description of Linear Block Codes, Error Detection and ErrorCorrection Capabilities of Linear Block Codes. Cyclic Codes: Algebraic Structure, Encoding, Syndrome Calculation, Decoding. Convolution Codes: Encoding, Decoding M.N.NARSAIAH Assoc. Professor, Dept. of ECE, KGRCET DIGITAL COMMUNICATIONS (EC503PC) Baseband Pulse Transmission: Introduction, Matched Filter, Error Rate Due to Noise,intersymbol interference Nyquist criterion for Distortion less Baseband BinaryTransmission, Correlative -Level Coding Baseband M-Array PAM Transmission PAMTransmission, Digital subscriber Lines, Optimal Liner III Receiver, Adaptive Equalization, Eyepatterns. 13 Digital pass band transmission: pass band transmission model, Gram- Schmidtorthogonalization procedure, Geometric interpretation of signals Coherent detection ofsignals in noise, probability of error, Correlation receiver. Digital Modulation Techniques: Introduction, ASK, ASK Modulator, Coherent ASKDetector, Non-Coherent ASK Detector, FSK, Bandwidth and Frequency Spectrum of FSK,Non Coherent FSK Detector, Coherent FSK Detector, FSK IV 12 Detection using PLL, BPSK,Coherent PSK Detection, QPSK, 8-PSK, 16-PSK Differential PSK, QAM . Spread Spectrum Modulation: Use of Spread Spectrum, Direct Sequence Spread (DSSS),and Code Division Multiple Access, Ranging using DSSS, Frequency V Hopping SpreadSpectrum, PN - Sequence: Generation and characteristics, 10 Synchronization in SpreadSpectrum Systems. Contact classes for syllabus coverage 61 Lectures beyond syllabus 02 Tutorial Classes 10 Classes for gaps &Add-on classes 02 Total No. of classes 75 5.c). GAPS IN THE SYLLABUS - TO MEET INDUSTRY/PROFESSION REQUIREMENTS: S.NO. DESCRIPTION PROPOSEDACTIONS No. of lectures 1 Additive White Gaussian Noise (AWGN) Class Room 1 2 Multiplexing Class Room 1 M.N.NARSAIAH Assoc. Professor, Dept. of ECE, KGRCET DIGITAL COMMUNICATIONS (EC503PC) 5.d). TOPICS BEYOND SYLLABUS/ADVANCED TOPICS: S.NO. DESCRIPTION PROPOSEDACTIONS No. of lectures 1 OSI Model Guest Lecture 1 2 Introduction to Fading NPTEL 1 5. e). WEB SOURCE REFERENCES: Sl. Name of book/ website No. a. http://nptel.ac.in/courses/117105077/ b. http://nptel.ac.in/courses/117101051/ c. http://nptel.ac.in/courses/108102096/
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