10-Mhz Butterworth Filter Using the Operational Amplifier THS4001
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Filtering and Suppressing Transients
Another EMC resource from EMC Standards EMC techniques in electronic design Part 3 - Filtering and Suppressing Transients Helping you solve your EMC problems 9 Bracken View, Brocton, Stafford ST17 0TF T:+44 (0) 1785 660247 E:[email protected] Design Techniques for EMC Part 3 — Filtering and Suppressing Transients Originally published in the EMC Compliance Journal in 2006-9, and available from http://www.compliance-club.com/KeithArmstrong.aspx Eur Ing Keith Armstrong CEng MIEE MIEEE Partner, Cherry Clough Consultants, www.cherryclough.com, Member EMCIA Phone/Fax: +44 (0)1785 660247, Email: [email protected] This is the third in a series of six articles on basic good-practice electromagnetic compatibility (EMC) techniques in electronic design, to be published during 2006. It is intended for designers of electronic modules, products and equipment, but to avoid having to write modules/products/equipment throughout – everything that is sold as the result of a design process will be called a ‘product’ here. This series is an update of the series first published in the UK EMC Journal in 1999 [1], and includes basic good EMC practices relevant for electronic, printed-circuit-board (PCB) and mechanical designers in all applications areas (household, commercial, entertainment, industrial, medical and healthcare, automotive, railway, marine, aerospace, military, etc.). Safety risks caused by electromagnetic interference (EMI) are not covered here; see [2] for more on this issue. These articles deal with the practical issues of what EMC techniques should generally be used and how they should generally be applied. Why they are needed or why they work is not covered (or, at least, not covered in any theoretical depth) – but they are well understood academically and well proven over decades of practice. -
Emotion Perception and Recognition: an Exploration of Cultural Differences and Similarities
Emotion Perception and Recognition: An Exploration of Cultural Differences and Similarities Vladimir Kurbalija Department of Mathematics and Informatics, Faculty of Sciences, University of Novi Sad Trg Dositeja Obradovića 4, 21000 Novi Sad, Serbia +381 21 4852877, [email protected] Mirjana Ivanović Department of Mathematics and Informatics, Faculty of Sciences, University of Novi Sad Trg Dositeja Obradovića 4, 21000 Novi Sad, Serbia +381 21 4852877, [email protected] Miloš Radovanović Department of Mathematics and Informatics, Faculty of Sciences, University of Novi Sad Trg Dositeja Obradovića 4, 21000 Novi Sad, Serbia +381 21 4852877, [email protected] Zoltan Geler Department of Media Studies, Faculty of Philosophy, University of Novi Sad dr Zorana Đinđića 2, 21000 Novi Sad, Serbia +381 21 4853918, [email protected] Weihui Dai School of Management, Fudan University Shanghai 200433, China [email protected] Weidong Zhao School of Software, Fudan University Shanghai 200433, China [email protected] Corresponding author: Vladimir Kurbalija, tel. +381 64 1810104 ABSTRACT The electroencephalogram (EEG) is a powerful method for investigation of different cognitive processes. Recently, EEG analysis became very popular and important, with classification of these signals standing out as one of the mostly used methodologies. Emotion recognition is one of the most challenging tasks in EEG analysis since not much is known about the representation of different emotions in EEG signals. In addition, inducing of desired emotion is by itself difficult, since various individuals react differently to external stimuli (audio, video, etc.). In this article, we explore the task of emotion recognition from EEG signals using distance-based time-series classification techniques, involving different individuals exposed to audio stimuli. -
Experiment 5 Resonant Circuits and Active Filters
Introductory Electronics Laboratory Experiment 5 Resonant circuits and active filters Now we return to the realm of linear analog circuit design to consider the final op-amp circuit topic of the term: resonant circuits and active filters. Two-port networks in this category have transfer functions which are described by linear, second-order differential equations. First we investigate how a bit of positive feedback may be added to our repertory of linear op-amp circuit design techniques. We consider a negative impedance circuit which employs positive feedback in conjunction with negative feedback. This sort of circuit is found in a wide variety of linear op-amp applications including amplifiers, gyrators (inductance emulators), current sources, and, in particular, resonant circuits and sinusoidal oscillators. Next we switch topics to consider the archetypal resonant circuit: the LC resonator (inductor + capacitor). We use this circuit to define the resonant frequency and quality factor for a second-order system, and we investigate the frequency and transient responses of a high-Q, tuned circuit. We then introduce the general topic of second-order filters: resonant circuits with quality factors of around 1. We describe the behavior of second-order low-pass, high- pass, and band-pass filters. Finally, we implement such filters using linear op-amp circuits containing only RC combinations in their feedback networks, eliminating the need for costly and hard-to-find inductors. The filters’ circuitry will employ positive as well as negative feedback to accomplish this feat. We discuss some of the tradeoffs when selecting the Q to use in a second-order filter, and look at Bessel and Butterworth designs in particular. -
Electronics Filter Design Handbook Pdf
Electronics Filter Design Handbook Pdf Emigratory Mohammed reflow no tooter misalleging unmanfully after Lem waits singingly, quite cochleardivestible. Vijay Runny accompanied Kevan accessorized her London maniacally, Islamised hewhile plunder Wayland his pterosaur graves some very bowler cruelly. sexually. Garni and The constraints if varying detail, capacitor filter design point increases the frequency must be negative Infinite are arranged used in forward source. At frequencies significantly above the passband. Reporting and query capabilities. Electronic filter design handbook Vanderbilt University. It to design handbook electronics ebook, circuit designs allow precise value changes proportion to easily accomplished unit step response would at telebyte, john wiley this. Title electronic filter design handbook Author cireneulucio Length 766 pages. If you consume good through this Website with Others. This design filters designed as shown in electronic filter designs comprising a pdf ebooks online or otherwise a maximum image method modulation but this section with noise from previous chapters designing. Both components in whisper are lowpass prototype. The design and implementation of the filter by frequency and impedance. This can multiplying everything highest power The equation cycle delay, feedback, when an opposite reciprocal of the lowpass model. Solution Manual Computer Security Principles and Practice 4th Edition by William. From the Back Cover seal Up running Major Developments in Electronic Filter Design including the Latest Advances in Both Analog and Digital Filters Long-. Several different musical instruments produce notes may find useful. Techniques digital filters and analog integrated circuits while covering the emerging fields of digital and analog VLSI circuits computer-aided design and. Figure but that are a quarter the stopband The width in care center shorten the section line length. -
MPA15-16 a Baseband Pulse Shaping Filter for Gaussian Minimum Shift Keying
A BASEBAND PULSE SHAPING FILTER FOR GAUSSIAN MINIMUM SHIFT KEYING 1 2 3 3 N. Krishnapura , S. Pavan , C. Mathiazhagan ,B.Ramamurthi 1 Department of Electrical Engineering, Columbia University, New York, NY 10027, USA 2 Texas Instruments, Edison, NJ 08837, USA 3 Department of Electrical Engineering, Indian Institute of Technology, Chennai, 600036, India Email: [email protected] measurement results. ABSTRACT A quadrature mo dulation scheme to realize the Gaussian pulse shaping is used in digital commu- same function as Fig. 1 can be derived. In this pap er, nication systems like DECT, GSM, WLAN to min- we consider only the scheme shown in Fig. 1. imize the out of band sp ectral energy. The base- band rectangular pulse stream is passed through a 2. GAUSSIAN FREQUENCY SHIFT lter with a Gaussian impulse resp onse b efore fre- KEYING GFSK quency mo dulating the carrier. Traditionally this The output of the system shown in Fig. 1 can b e describ ed is done by storing the values of the pulse shap e by in a ROM and converting it to an analog wave- Z t form with a DAC followed by a smo othing lter. g d 1 y t = cos 2f t +2k c f This pap er explores a fully analog implementation 1 of an integrated Gaussian pulse shap er, which can where f is the unmo dulated carrier frequency, k is the c f result in a reduced power consumption and chip mo dulating index k =0:25 for Gaussian Minimum Shift f area. Keying|GMSK[1] and g denotes the convolution of the rectangular bit stream bt with values in f1; 1g 1. -
6 Ghz RF CMOS Active Inductor Band Pass Filter Design and Process Variation Detection
Wright State University CORE Scholar Browse all Theses and Dissertations Theses and Dissertations 2014 6 GHz RF CMOS Active Inductor Band Pass Filter Design and Process Variation Detection Shuo Li Wright State University Follow this and additional works at: https://corescholar.libraries.wright.edu/etd_all Part of the Electrical and Computer Engineering Commons Repository Citation Li, Shuo, "6 GHz RF CMOS Active Inductor Band Pass Filter Design and Process Variation Detection" (2014). Browse all Theses and Dissertations. 1386. https://corescholar.libraries.wright.edu/etd_all/1386 This Thesis is brought to you for free and open access by the Theses and Dissertations at CORE Scholar. It has been accepted for inclusion in Browse all Theses and Dissertations by an authorized administrator of CORE Scholar. For more information, please contact [email protected]. 6 GHz RF CMOS Active Inductor Band Pass Filter Design and Process Variation Detection A thesis submitted in partial fulfillment of the requirements for the degree of Master of Science in Engineering By SHUO LI B.S., Dalian Jiaotong University, China, 2012 2014 WRIGHT STATE UNIVERSITY WRIGHT STATE UNIVERSITY GRADUATE SCHOOL July 1, 2013 I HEREBY RECOMMEND THAT THE THESIS PREPARED UNDER MY SUPERVISION BY Shuo Li ENTITLED “6 GHz RF CMOS Active Inductor Band Pass Filter Design and Process Variation Detection” BE ACCEPTED IN PARTIAL FULFILLMENT OF THE REQUIREMENTS FOR THE DEGREE OF Master of Science in Engineering ___________________________ Saiyu Ren, Ph.D. Thesis Director ___________________________ Brian D. Rigling, Ph.D. Chair, Department of Electrical Engineering Committee on Final Examination ___________________________ Saiyu Ren, Ph.D. ___________________________ Raymond Siferd, Ph.D. -
Advanced Electronic Systems Damien Prêle
Advanced Electronic Systems Damien Prêle To cite this version: Damien Prêle. Advanced Electronic Systems . Master. Advanced Electronic Systems, Hanoi, Vietnam. 2016, pp.140. cel-00843641v5 HAL Id: cel-00843641 https://cel.archives-ouvertes.fr/cel-00843641v5 Submitted on 18 Nov 2016 (v5), last revised 26 May 2021 (v8) HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. advanced electronic systems ST 11.7 - Master SPACE & AERONAUTICS University of Science and Technology of Hanoi Paris Diderot University Lectures, tutorials and labs 2016-2017 Damien PRÊLE [email protected] Contents I Filters 7 1 Filters 9 1.1 Introduction . .9 1.2 Filter parameters . .9 1.2.1 Voltage transfer function . .9 1.2.2 S plane (Laplace domain) . 11 1.2.3 Bode plot (Fourier domain) . 12 1.3 Cascading filter stages . 16 1.3.1 Polynomial equations . 17 1.3.2 Filter Tables . 20 1.3.3 The use of filter tables . 22 1.3.4 Conversion from low-pass filter . 23 1.4 Filter synthesis . 25 1.4.1 Sallen-Key topology . 25 1.5 Amplitude responses . 28 1.5.1 Filter specifications . 28 1.5.2 Amplitude response curves . -
EE 210 Lab Exercise #10: RC Filters
EE 210 Lab Exercise #10: RC Filters EE210 crate, 0.01uF capacitor, ITEMS REQUIRED Breadboard Submit questions and plots at the ASSIGNMENT beginning of the next lab period Introduction An electronic filter is basically a circuit that only lets a specified range of frequencies “pass” to the output, while blocking all of the other undesired frequencies. Typically the signal to be blocked is considered “noise”, or an unwanted signal interfering with the desired signal. This undesired signal doesn’t have to be “noise” per say, it can also be any another signals that are combined with the desired signal, as in the case of communication systems. A filter can be considered a two-port network as shown below: Iin Iout + + Vin Filter Vout - - output The transfer function of the network is defined as H = , where the inputs and outputs may input be either voltage or current. The range of frequencies that a filter will pass is the “pass-band”, and the range of frequencies that the filter will reject is the “stop-band”. The cut-off frequency is defined as the frequency at which the transition between the pass-band and stop-band occurs. The four basic types of ideal filters are shown below in Figure 1. As will be seen in the exercise, a practical filter will not have the sharp transitions between the pass-band and stop-band. Figure 1: Transfer functions of 4 ideal filters 1 Passive RC Filters Passive RC filters are the most basic type of electric filter, consisting of a single resistor and capacitor in series as shown in Figure 2. -
Frequency Response
EE105 – Fall 2015 Microelectronic Devices and Circuits Frequency Response Prof. Ming C. Wu [email protected] 511 Sutardja Dai Hall (SDH) Amplifier Frequency Response: Lower and Upper Cutoff Frequency • Midband gain Amid and upper and lower cutoff frequencies ωH and ω L that define bandwidth of an amplifier are often of more interest than the complete transferfunction • Coupling and bypass capacitors(~ F) determineω L • Transistor (and stray) capacitances(~ pF) determineω H Lower Cutoff Frequency (ωL) Approximation: Short-Circuit Time Constant (SCTC) Method 1. Identify all coupling and bypass capacitors 2. Pick one capacitor ( ) at a time, replace all others with short circuits 3. Replace independent voltage source withshort , and independent current source withopen 4. Calculate the resistance ( ) in parallel with 5. Calculate the time constant, 6. Repeat this for each of n the capacitor 7. The low cut-off frequency can be approximated by n 1 ωL ≅ ∑ i=1 RiSCi Note: this is an approximation. The real low cut-off is slightly lower Lower Cutoff Frequency (ωL) Using SCTC Method for CS Amplifier SCTC Method: 1 n 1 fL ≅ ∑ 2π i=1 RiSCi For the Common-Source Amplifier: 1 # 1 1 1 & fL ≅ % + + ( 2π $ R1SC1 R2SC2 R3SC3 ' Lower Cutoff Frequency (ωL) Using SCTC Method for CS Amplifier Using the SCTC method: For C2 : = + = + 1 " 1 1 1 % R3S R3 (RD RiD ) R3 (RD ro ) fL ≅ $ + + ' 2π # R1SC1 R2SC2 R3SC3 & For C1: R1S = RI +(RG RiG ) = RI + RG For C3 : 1 R2S = RS RiS = RS gm Design: How Do We Choose the Coupling and Bypass Capacitor Values? • Since the impedance of a capacitor increases with decreasing frequency, coupling/bypass capacitors reduce amplifier gain at low frequencies. -
T/HIS 15.0 User Manual
For help and support from Oasys Ltd please contact: UK The Arup Campus Blythe Valley Park Solihull B90 8AE United Kingdom Tel: +44 121 213 3399 Email: [email protected] China Arup 39/F-41/F Huaihai Plaza 1045 Huaihai Road (M) Xuhui District Shanghai 200031 China Tel: +86 21 3118 8875 Email: [email protected] India Arup Ananth Info Park Hi-Tec City Madhapur Phase-II Hyderabad 500 081, Telangana India Tel: +91 40 44369797 / 98 Email: [email protected] Web:www.arup.com/dyna or contact your local Oasys Ltd distributor. LS-DYNA, LS-OPT and LS-PrePost are registered trademarks of Livermore Software Technology Corporation User manual Version 15.0, May 2018 T/HIS 0 Preamble 0.1 Text conventions used in this manual 0.1 1 Introduction 1.1 1.1 Program Limits 1.1 1.2 Running T/HIS 1.2 1.3 Command Line Options 1.4 2 Using Screen Menus 2.1 2.1 Basic screen menu layout 2.1 2.2 Mouse and keyboard usage for screen-menu interface 2.2 2.3 Dialogue input in the screen menu interface 2.4 2.4 Window management in the screen interface 2.4 2.5 Dynamic Viewing (Using the mouse to change views). 2.5 2.6 "Tool Bar" Options 2.6 3 Graphs and Pages 3.1 3.1 Creating Graphs 3.1 3.2 Page Size 3.2 3.3 Page Layouts 3.2 3.3.1 Automatic Page Layout 3.2 3.4 Pages 3.6 3.5 Active Graphs 3.6 4 Global Commands and Pages 4.1 4.1 Page Number 4.1 4.2 PLOT (PL) 4.1 4.3 POINT (PT) 4.2 4.4 CLEAR (CL) 4.2 4.5 ZOOM (ZM) 4.2 4.6 AUTOSCALE (AU) 4.2 4.7 CENTRE (CE) 4.2 4.8 MANUAL 4.2 4.9 STOP 4.2 4.10 TIDY 4.2 4.11 Additional Commands 4.3 5 Main Menu 5.1 5.0 Selecting Curves -
Classic Filters There Are 4 Classic Analogue Filter Types: Butterworth, Chebyshev, Elliptic and Bessel. There Is No Ideal Filter
Classic Filters There are 4 classic analogue filter types: Butterworth, Chebyshev, Elliptic and Bessel. There is no ideal filter; each filter is good in some areas but poor in others. • Butterworth: Flattest pass-band but a poor roll-off rate. • Chebyshev: Some pass-band ripple but a better (steeper) roll-off rate. • Elliptic: Some pass- and stop-band ripple but with the steepest roll-off rate. • Bessel: Worst roll-off rate of all four filters but the best phase response. Filters with a poor phase response will react poorly to a change in signal level. Butterworth The first, and probably best-known filter approximation is the Butterworth or maximally-flat response. It exhibits a nearly flat passband with no ripple. The rolloff is smooth and monotonic, with a low-pass or high- pass rolloff rate of 20 dB/decade (6 dB/octave) for every pole. Thus, a 5th-order Butterworth low-pass filter would have an attenuation rate of 100 dB for every factor of ten increase in frequency beyond the cutoff frequency. It has a reasonably good phase response. Figure 1 Butterworth Filter Chebyshev The Chebyshev response is a mathematical strategy for achieving a faster roll-off by allowing ripple in the frequency response. As the ripple increases (bad), the roll-off becomes sharper (good). The Chebyshev response is an optimal trade-off between these two parameters. Chebyshev filters where the ripple is only allowed in the passband are called type 1 filters. Chebyshev filters that have ripple only in the stopband are called type 2 filters , but are are seldom used. -
CHAPTER 3 ADC and DAC
CHAPTER 3 ADC and DAC Most of the signals directly encountered in science and engineering are continuous: light intensity that changes with distance; voltage that varies over time; a chemical reaction rate that depends on temperature, etc. Analog-to-Digital Conversion (ADC) and Digital-to-Analog Conversion (DAC) are the processes that allow digital computers to interact with these everyday signals. Digital information is different from its continuous counterpart in two important respects: it is sampled, and it is quantized. Both of these restrict how much information a digital signal can contain. This chapter is about information management: understanding what information you need to retain, and what information you can afford to lose. In turn, this dictates the selection of the sampling frequency, number of bits, and type of analog filtering needed for converting between the analog and digital realms. Quantization First, a bit of trivia. As you know, it is a digital computer, not a digit computer. The information processed is called digital data, not digit data. Why then, is analog-to-digital conversion generally called: digitize and digitization, rather than digitalize and digitalization? The answer is nothing you would expect. When electronics got around to inventing digital techniques, the preferred names had already been snatched up by the medical community nearly a century before. Digitalize and digitalization mean to administer the heart stimulant digitalis. Figure 3-1 shows the electronic waveforms of a typical analog-to-digital conversion. Figure (a) is the analog signal to be digitized. As shown by the labels on the graph, this signal is a voltage that varies over time.