Digital Filters

Author: Dietrich Schlichthärle
Publisher: Springer Science & Business Media
ISBN: 3662041707
Format: PDF, ePub, Mobi
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This textbook provides an insight into the characteristics and design of digital filters. It includes tables of filter parameters for Butterworth, Chbeyshev, Cauer and Bessel filters and several computer routines for filter design programs.

Digital Filters

Author: Dietrich Schlichthärle
Publisher: Springer Science & Business Media
ISBN: 9783642143250
Format: PDF, ePub
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The second, strongly enlarged edition of the textbook gives a substantial insight into the characteristics and the design of digital filters. It briefly introduces to the theory of continuous-time systems and the design methods for analog filters. Time-discrete systems, the basic structures of digital filters, sampling theorem, and the design of IIR filters are widely discussed. The author devotes important parts to the design of non-recursive filters and the effects of finite register length. The explanation of techniques like oversampling and noise shaping conclude the book. The author has substantially updated all chapters and added some important topics like Allpass filters. With an emphasize put on the practical implementation of theoretical concepts, the book is a reference for advanced students as well as practicing engineers.

Digital Filters

Author: Dietrich Schlichthärle
Publisher: Springer Science & Business Media
ISBN: 9783540668411
Format: PDF, Kindle
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This textbook provides an insight into the characteristics and design of digital filters. It includes tables of filter parameters for Butterworth, Chbeyshev, Cauer and Bessel filters and several computer routines for filter design programs.

Basic Digital Signal Processing

Author: Gordon B. Lockhart
Publisher: Elsevier
ISBN: 1483182789
Format: PDF, Mobi
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Basic Digital Signal Processing describes the principles of digital signal processing and experiments with BASIC programs involving the fast Fourier theorem (FFT). The book reviews the fundamentals of the BASIC program, continuous and discrete time signals including analog signals, Fourier analysis, discrete Fourier transform, signal energy, power. The text also explains digital signal processing involving digital filters, linear time-variant systems, discrete time unit impulse, discrete-time convolution, and the alternative structure for second order infinite impulse response (IIR) sections. The text notes the importance of the effects of analogue/digital interfaces, of the aspects such as sampling and quantization of the analogue input, as well as the reconstruction of an analogue output from the processed digital signal. Digital filter design consists of two separate operations: 1) approximation—the determination of a realizable system function from some idealized 'target'; and 2) realization—the formulation of a signal flow graph and its implementation in hardware or software. Digital signal processing employs the FFT, a number of efficient algorithms that compute the discrete Fourier transform and the inverse discrete Fourier transform. The programmer can run the FFT methods using some BASIC programs. The book can prove useful for programmers, computer engineers, computer technicians, and computer instructors dealing with many aspects of computers such as networking, engineering or design.

Filter Design for Signal Processing Using MATLAB and Mathematica

Author: Miroslav D. Lutovac
Publisher: Miroslav Lutovac
ISBN: 0201361302
Format: PDF, ePub, Docs
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A complete up-to-date reference for advanced analog and digital IIR filter design rooted in elliptic functions. "Revolutionary" in approach, this book opens up completely new vistas in basic analog and digital IIR filter design--regardless of the technology. By introducing exceptionally elegant and creative mathematical stratagems (e.g., accurate replacement of Jacobi elliptic functions by functions comprising polynomials, square roots, and logarithms), optimization routines carried out with symbolic analysis by "Mathematica," and the advance filter design software of MATLAB, it shows readers how to design many types of filters that cannot be designed using conventional techniques. The filter design algorithms can be directly programed in any language or environment such as Visual BASIC, Visual C, Maple, DERIVE, or MathCAD. Signals; Systems; Transforms; Classical Analog Filter Design; Advanced Analog Filter Design Case Studies; Advanced Analog Filter Design Algorithms; Multi-criteria Optimization of Analog Filter Designs; Classical Digital Filter Design; Advanced Digital Filter Design Case Studies; Advanced Digital Filter Design Algorithms; Multi-criteria Optimization of Digital Filter Designs; Elliptic Functions; Elliptic Rational Function.

Digital Filters

Author: Richard W. Hamming
Publisher: Courier Corporation
ISBN: 0486319245
Format: PDF, Docs
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Introductory text examines role of digital filtering in many applications, particularly computers. Focus on linear signal processing; some consideration of roundoff effects, Kalman filters. Only calculus, some statistics required.

Digital Filters and Signal Processing in Electronic Engineering

Author: S M Bozic
Publisher: Elsevier
ISBN: 0857099744
Format: PDF, ePub, Mobi
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From industrial and teaching experience the authors provide a blend of theory and practice of digital signal processing (DSP) for advanced undergraduate and post-graduate engineers reading electronics. This fast-moving, developing area is driven by the information technology revolution. It is a source book in research and development for embedded system design engineers, designers in real-time computing, and applied mathematicians who apph DSP techniques in telecommunications, aerospace (control systems), satellite communications, instrumentation, and medical technology (ultrasound and magnetic resonance imaging). The book is particularly useful at the hardware end of DSP, with its emphasis on practical I)SP devices and the integration of basic processes with appropriate software. It is unique to find in one volume the implementation of the equations as algorithms, not only in \IATLAB but right up to a working DSP-based scheme. Other relevant architectural features include number representations, multiply-accumulate, special addressing modes, zero overhead iteration schemes. and single and multiple nlicroprocessors which will allow the readers to compare and understand both current processors and future DSP developments. Fundamental signal processing procedures are introduced and developed: also convolution. correlation, the Discrete Fourier Transform and its fast computation algorithms. Then follo finite impulse response (FIR) filters, infinite impulse response (IlR) filters, multirate filters, adaptive filters, and topics from communication and control. I)esign examples are given in all of these cases, taken through an algorithm testing stage using MATLAB. The design of the latter. using C language models, is explained together with the experimental results of real time integer implementations. Academic prerequisites are first and second year university mathematics, an introductor knowledge of circuit theor ‘and microprocessors. and C Language. Provides an unusual blend of theory and practice of digital signal processing (DSP) Discusses fundamental signal processing procedures, convolution, correlation, the Discrete Fourier Transform and its fast computation algorithms Includes number representations, multiply-accumulate, special addressing modes, zero overhead iteration schemes, and single and multiple instructions

Digital Filters for Everyone Third Edition

Author: Rusty Allred
Publisher:
ISBN: 9780982972922
Format: PDF, Mobi
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Performing such functions as noise mitigation and signal conditioning, digital filters are everywhere: in your car, in your TV, in your music player, in your phone, everywhere. But an engineering degree or expensive software is not required to design and analyze them. In fact, whoever you are and whatever your background, this book will help you understand, design, analyze and use digital filters. This book was written to make digital filters more accessible to everyone. Practicing engineers will appreciate its straightforward approach and the simple formulas that readily lend themselves to real-time applications. Others will find that digital filter design and analysis is really not as difficult as they may have thought. For each IIR filter type (Butterworth, Linkwitz-Reilly, Bessel, Chebychev I & II, Variable Q, Allpass, Equalization, Notch and Shelf), the reader will find one equation for each coefficient. Plug in what you know - cutoff frequency, sample rate - and the equations will give you the coefficient values; no expensive software, transforms or complicated manipulations are needed. This approach does have its limitations. Although the book does explain how to create higher orders by combining lower orders, there are no equations for IIR filters larger than fourth order. Several FIR methods (Fourier Series and Frequency Sampling Methods) are included and they do apply to any order. Since elliptical (Cauer) IIR filters and the Remez and Parks-McClellan algorithms for equiripple FIR design require specialized software and do not lend themselves to simple formulas, they are not included. The third edition includes a new chapter on two-dimensional (2D) filters and a new section on software filter implementation. In addition, there are language and formatting changes aimed at making the book clearer and easier to use. As with the first and second editions, the book gives the simplest possible equations for the design of IIR and FIR filters and examples for their use. Nothing from the earlier editions has been omitted.

Digital Filters and Signal Processing

Author: Leland B. Jackson
Publisher: Springer Science & Business Media
ISBN: 1475724586
Format: PDF, ePub
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Digital Filters and Signal Processing, Third Edition ... with MATLAB Exercises presents a general survey of digital signal processing concepts, design methods, and implementation considerations, with an emphasis on digital filters. It is suitable as a textbook for senior undergraduate or first-year graduate courses in digital signal processing. While mathematically rigorous, the book stresses an intuitive understanding of digital filters and signal processing systems, with numerous realistic and relevant examples. Hence, practicing engineers and scientists will also find the book to be a most useful reference. The Third Edition contains a substantial amount of new material including, in particular, the addition of MATLAB exercises to deepen the students' understanding of basic DSP principles and increase their proficiency in the application of these principles. The use of the exercises is not mandatory, but is highly recommended. Other new features include: normalized frequency utilized in the DTFT, e.g., X(ejomega); new computer generated drawings and MATLAB plots throughout the book; Chapter 6 on sampling the DTFT has been completely rewritten; expanded coverage of Types I-IV linear-phase FIR filters; new material on power and doubly-complementary filters; new section on quadrature-mirror filters and their application in filter banks; new section on the design of maximally-flat FIR filters; new section on roundoff-noise reduction using error feedback; and many new problems added throughout.

Introduction to Digital Filters

Author: Julius O. Smith
Publisher: Julius Smith
ISBN: 0974560715
Format: PDF, ePub, Docs
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A digital filter can be pictured as a "black box" that accepts a sequence of numbers and emits a new sequence of numbers. In digital audio signal processing applications, such number sequences usually represent sounds. For example, digital filters are used to implement graphic equalizers and other digital audio effects. This book is a gentle introduction to digital filters, including mathematical theory, illustrative examples, some audio applications, and useful software starting points. The theory treatment begins at the high-school level, and covers fundamental concepts in linear systems theory and digital filter analysis. Various "small" digital filters are analyzed as examples, particularly those commonly used in audio applications. Matlab programming examples are emphasized for illustrating the use and development of digital filters in practice.