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Download Solution Manual of Discrete-Time Signal Processing, 2nd Edition by Alan v.
Criteria for linear system:Linearity is the property of an element describing a linearrelationship between cause and effect. The property is acombination of both the homogeneity (scaling) property and theadditivity property.The homogeneity property requires that if the input ismultiplied by a constant, then the output gets multiplied by thesame constant. The homogeneity property is satisfied only if thefollowing equation holds true.The additivity property requires that the response to a sum ofinputs is the sum of the responses to each input appliedseparately. The additivity property is satisfied only if thefollowing equation holds true. Check for the linearity of the functionas follows:The property is a combination of both the homogeneity (scaling)property and the additivity property.For two separate inputsthe system produces the following responseAndCheck for the additivity property of the functionas follows:Hence, additivity property is satisfied.Check for the homogeneity property of the functionas follows:Hence, homogeneity property is satisfied.As the additivity and homogeneity property is satisfied, thesystem is a linear system. Check for the linearity of the functionas follows:The property is a combination of both the homogeneity (scaling)property and the additivity property.For two separate inputsthe system produces the following responseAndCheck for the additivity property of the functionas follows:Hence, additivity property is satisfied.Check for the homogeneity property of the functionas follows:Hence, homogeneity property is satisfied.As the additivity and homogeneity property is satisfied, thesystem is a linear system.
Check for the linearity of the functionas follows:The property is a combination of both the homogeneity (scaling)property and the additivity property.For two separate inputsthe system produces the following responseAndCheck for the additivity property of the functionas follows:Hence, additivity property is not satisfied.Check for the homogeneity property of the functionas follows:Hence, homogeneity property is not satisfied.As the additivity and homogeneity property is not satisfied,the system is a nonlinear system. Check for the time-invariance property of the functionas follows:Determine the outputof the system for the delayed input,Now delay the output bysamples given by the equation,Now compareand,observe thatTherefore, the system is time-invariant.Check whether the systemis memoryless or not as follows:The output sequenceat every value ofdepends only on the input at the same value. Therefore, thesystem is memoryless system.Thus, the system is causal, nonlinear, time-invariant,memoryless and stable.(f)Consider the following system, defined at thenumber in the sequence:The output sequence isand the input sequence is.Check for the stability of the functionas follows:The output sequence,is the result of the multiplication of a constant with theinputadded to a constant. So apply a finite input,then the output will also be finite since the multiplication andaddition of a constant to the input does not make the functioninfinite. Therefore, the system is stable.
Check for the time-invariance property of the functionas follows:Determine the outputof the system for the delayed input,Now delay the output bysamples given by the equation,Now compareand,observe thatTherefore, the system is time-invariant.Check whether the systemis memoryless or not as follows:The output sequenceat every value ofdepends only on the input at the same value. Therefore, thesystem is memoryless system.Thus, the system is stable, causal, non-linear if andtime-invariant and memoryless. Check for the causality of the functionas follows:For a given value of the input sequence, the output sequencevalue may depend on the future value as follows:For example, consider.Then evaluate the output forFor all, the output depends on the future values. Therefore, the systemis non-causal.Check for the linearity of the functionas follows:The property is a combination of both the homogeneity (scaling)property and the additivity property.For two separate inputsthe system produces the following responseAndCheck for the additivity property of the functionas follows:Hence, additivity property is satisfied.Check for the homogeneity property of the functionas follows:Hence, homogeneity property is satisfied.As the additivity and homogeneity property is satisfied, thesystem is a linear system.
Check for the time-invariance property of the functionas follows:Determine the outputof the system for the delayed input,Now delay the output bysamples given by the equation,Now compareand,observe thatTherefore, the system is time-variant.Check whether the systemis memoryless or not as follows:The output sequenceat every value ofdepends only on the input at the same value. Therefore, thesystem is memoryless.Thus, the system is causal, nonlinear and time-variant,memoryless and stable.
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. Author: Alan V. Oppenheim,Ronald W. Schafer. Publisher: Pearson Higher Ed.
ISBN:. Category: Technology & Engineering. Page: 1120. View: 8584This is the eBook of the printed book and may not include any media, website access codes, or print supplements that may come packaged with the bound book. For senior/graduate-level courses in Discrete-Time Signal Processing.
Discrete-Time Signal Processing, Third Edition is the definitive, authoritative text on DSP – ideal for those with introductory-level knowledge of signals and systems. Written by prominent DSP pioneers, it provides thorough treatment of the fundamental theorems and properties of discrete-time linear systems, filtering, sampling, and discrete-time Fourier Analysis. By focusing on the general and universal concepts in discrete-time signal processing, it remains vital and relevant to the new challenges arising in the field. Access to the password-protected companion Website and myeBook is included with each new copy of Discrete-Time Signal Processing, Third Edition. Principles and Practice. Author: Thomas F. Quatieri.
Publisher: Pearson Education. ISBN:. Category: Technology & Engineering. Page: 816. View: 6756Essential principles, practical examples, current applications, and leading-edge research. In this book, Thomas F.
Quatieri presents the field's most intensive, up-to-date tutorial and reference on discrete-time speech signal processing. Building on his MIT graduate course, he introduces key principles, essential applications, and state-of-the-art research, and he identifies limitations that point the way to new research opportunities. Quatieri provides an excellent balance of theory and application, beginning with a complete framework for understanding discrete-time speech signal processing. Along the way, he presents important advances never before covered in a speech signal processing text book, including sinusoidal speech processing, advanced time-frequency analysis, and nonlinear aeroacoustic speech production modeling. Coverage includes: Speech production and speech perception: a dual view Crucial distinctions between stochastic and deterministic problems Pole-zero speech models Homomorphic signal processing Short-time Fourier transform analysis/synthesis Filter-bank and wavelet analysis/synthesis Nonlinear measurement and modeling techniques The book's in-depth applications coverage includes speech coding, enhancement, and modification; speaker recognition; noise reduction; signal restoration; dynamic range compression, and more.
Principles of Discrete-Time Speech Processing also contains an exceptionally complete series of examples and Matlab exercises, all carefully integrated into the book's coverage of theory and applications. ANAND KUMAR. Publisher: PHI Learning Pvt.
Ltd. ISBN:. Category: Technology & Engineering. Page: 984. View: 3491The second edition of this well received text continues to provide coherent and comprehensive coverage of digital signal processing. It is designed for undergraduate students of Electronics and Communication engineering, Telecommunication engineering, Electronics and Instrumentation engineering, Electrical and Electronics engineering, Electronics and Computers engineering, Biomedical engineering and Medical Electronics engineering. This book will also be useful to AMIE and IETE students.
Written with student-centred, pedagogically-driven approach, the text provides a self-contained introduction to the theory of digital signal processing. It covers topics ranging from basic discrete-time signals and systems, discrete convolution and correlation, Z-transform and its applications, realization of discrete-time systems, discrete-time Fourier transform, discrete Fourier series, discrete Fourier transform to fast Fourier transform. In addition to this, various design techniques for design of IIR and FIR filters are discussed. Multi-rate digital signal processing and introduction to digital signal processors and finite word length effects on digital filters are also covered. All the solved and unsolved problems in this book are designed to illustrate the topics in a clear way. MATLAB programs and the results for typical examples are also included at the end of chapters for the benefit of the students. New to This Edition A chapter on Finite Word Length Effects in Digital Filters Key Features.
Numerous worked-out examples in each chapter. Short questions with answers help students to prepare for examinations and interviews. Fill in the blanks, review questions, objective type questions and unsolved problems at the end of each chapter to test the level of understanding of the subject. Author: John R.
Jr Deller,John H. Hansen,John G. Proakis. Publisher: Wiley-IEEE Press. ISBN: N.A.
Category: Technology & Engineering. Page: 908. View: 487Commercial applications of speech processing and recognition are fast becoming a growth industry that will shape the next decade. Now students and practicing engineers of signal processing can find in a single volume the fundamentals essential to understanding this rapidly developing field. IEEE Press is pleased to publish a classic reissue of Discrete-Time Processing of Speech Signals.
Specially featured in this reissue is the addition of valuable World Wide Web links to the latest speech data references. This landmark book offers a balanced discussion of both the mathematical theory of digital speech signal processing and critical contemporary applications.
The authors provide a comprehensive view of all major modern speech processing areas: speech production physiology and modeling, signal analysis techniques, coding, enhancement, quality assessment, and recognition. You will learn the principles needed to understand advanced technologies in speech processing - from speech coding for communications systems to biomedical applications of speech analysis and recognition. Ideal for self-study or as a course text, this far-reaching reference book offers an extensive historical context for concepts under discussion, end-of-chapter problems, and practical algorithms. Discrete-Time Processing of Speech Signals is the definitive resource for students, engineers, and scientists in the speech processing field.
An Instructor's Manual presenting detailed solutions to all the problems in the book is available upon request from the Wiley Makerting Department.
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