Discrete Time Signal Processing
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Discrete Time Signal Processing
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Author : Alan V. Oppenheim
language : en
Publisher:
Release Date : 1999
Discrete Time Signal Processing written by Alan V. Oppenheim and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1999 with Discrete-time systems categories.
Intended for senior/graduate-level courses in Discrete-Time Signal Processing, this book is suitable for those with an introductory-level knowledge of signals and systems. It provides a treatment of the fundamental theorems and properties of discrete-time linear systems, filtering, sampling, and discrete-time Fourier Analysis.
Discrete Time Signal Processing
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Author : Alan V. Oppenheim
language : en
Publisher:
Release Date : 1999
Discrete Time Signal Processing written by Alan V. Oppenheim and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1999 with Computers categories.
Índice: 1. Introduction. 2. Discrete-Time Signals and Systems. Introduction. Discrete-time Signals: Sequences. Discrete-time Systems. Linear Time-Invariant Systems. Properties of Linear Time-Invariant Systems. Linear Constant-Coefficient Difference Equations. Frequency-Domain Representation of Discrete-Time Signals and Systems. Representation of Sequence by Fourier Transforms. Symmetry Properties of the Fourier Transform. Fourier Transform Theorems. Discrete-Time Random Signals. Summary. 3. The z-Transform. Introduction. The z-Transform. Properties of the Region of Convergence for the z-Transform. The Inverse z-Transform. z-Transform Properties. Summary. 4. Sampling of Continuous-Time Signals. Introduction. Periodic Sampling. Frequency-Domain Representation of Sampling. Reconstruction of a Bandlimited Signal from its Samples. Discrete-Time Processing of Continuous-Time Signals. Continuous-Time Processing of Discrete-Time Signals. Changing the Sampling Rate Using Discrete-Time Processing. Practical Considerations. Oversampling and Noise Shaping. Summary. 5. Transform Analysis of Linear Time-Invariant Systems. Introduction. The Frequency Response of LTI Systems. System Functions for Systems Characterized by Linea. Frequency Response for Rational System Functions. Relationship Between Magnitude and Phase. All-Pass Systems. Minimum-Phase Systems. Linear Systems with Generalized Linear Phase. Summary. 6. Structures for Discrete-Time Systems. Introduction. Block Diagram Representation of Linear Constant-Coefficient Difference Equations. Signal Flow Graph Representation of Linear Constant-Coefficient Difference Equations. Basic Structures for IIR Systems. Transposed Forms. Basic Network Structures for FIR Systems. Overview of Finite-Precision Numerical Effects. The Effects of Coefficient Quantization. Effects of Roundoff Noise in Digital Filters. Zero-Input Limit Cycles in Fixed-Point Realizations of IIR Digital Filters. Summary. 7. Filter Design Techniques. Introduction. Design of Discrete-Time IIR Filters from Continuous-Time Filters. Design of FIR Filters by Windowing. Examples of FIR Filter Design by the Kaiser Window Method. Optimum Approximations of FIR Filters. Examples of FIR Equiripple Approximation. Comments on IIR and FIR Digital Filters. Summary. 8. The Discrete Fourier Transform. Introduction. Representation of Periodic Sequences: the Discrete Fourier Series. Summary of Properties of the DFS Representation of Periodic Sequences. The Fourier Transform of Periodic Signals. Sampling the Fourier Transform. Fourier Representation of Finite-Duration Sequences: The Discrete-Fourier Transform. Properties of the Discrete Fourier Transform. Summary of Properties of the Discrete Fourier Transform. Linear Convolution Using the Discrete Fourier Transform. The Discrete Cosine Transform (DCT). Summary. 9. Computation of the Discrete Fourier Transform. Introduction.
Digital Signal Processing
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Author : Winser Alexander
language : en
Publisher: Academic Press
Release Date : 2010-09
Digital Signal Processing written by Winser Alexander and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-09 with Computers categories.
Digital signal processing (DSP) is used in a wide range of applications including voice processing, image processing, digital communications, the transfer of data over the Internet and image and data compression. This text covers all these topics at a level appropriate for senior undergraduates or first year graduate students.
Discrete Time Signal Processing
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Author : Darrell Williamson
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06
Discrete Time Signal Processing written by Darrell Williamson and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Technology & Engineering categories.
The topics of control engineering and signal processing continue to flourish and develop. In common with general scientific investigation, new ideas, concepts and interpretations emerge quite spontaneously and these are then discussed, used, discarded or subsumed into the prevailing subject paradigm. Sometimes these innovative concepts coalesce into a new sub-discipline within the broad subject tapestry ofcontrol and signal processing. This preliminary battle between old and new usually takes place at conferences, through the internet and in the journals of the discipline. After a little more maturity has been acquired by the new concepts then archival publication as a scientific or engineering monograph may occur. The applications ofsignal processing techniques have grown and grown. They now cover the wide range from the statistical properties of signals and data through to the hardware problems of communications in all its diverse aspects. Supporting this range ofapplications is a body of theory, analysis and techniques which is equally broad. Darrell Williamson has faced the difficult task of organising this material by adopting an algebraic approach. This uses general mathematical and systems ideas and results to form a firm foundation for the discrete signal processing paradigm. Although this may require some extra concentration and involvement by the student or researcher, the rewards are a clarity of presentation and deeper insight into the power of individual results. An additional benefit is that the algebraic language used is the natural language of computing tools like MATLAB and its simulation facility, SIMULINK.
Discrete Time Processing Of Speech Signals
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Author : John R. Deller
language : en
Publisher: Macmillan College
Release Date : 1993
Discrete Time Processing Of Speech Signals written by John R. Deller and has been published by Macmillan College this book supported file pdf, txt, epub, kindle and other format this book has been release on 1993 with Computers categories.
This text covers the essential aspects of modern speech processing - analysis, synthesis and coding, enhancement and quality assessment, and recognition. It provides state-of-the-art information for advanced research and development in the computer processing of speech. Review chapters cover topics such as signal processing, stochastic processes, pattern recognition and information theory.
Digital Signal Processing And Spectral Analysis For Scientists
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Author : Silvia Maria Alessio
language : en
Publisher: Springer
Release Date : 2015-12-09
Digital Signal Processing And Spectral Analysis For Scientists written by Silvia Maria Alessio and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-12-09 with Technology & Engineering categories.
This book covers the basics of processing and spectral analysis of monovariate discrete-time signals. The approach is practical, the aim being to acquaint the reader with the indications for and drawbacks of the various methods and to highlight possible misuses. The book is rich in original ideas, visualized in new and illuminating ways, and is structured so that parts can be skipped without loss of continuity. Many examples are included, based on synthetic data and real measurements from the fields of physics, biology, medicine, macroeconomics etc., and a complete set of MATLAB exercises requiring no previous experience of programming is provided. Prior advanced mathematical skills are not needed in order to understand the contents: a good command of basic mathematical analysis is sufficient. Where more advanced mathematical tools are necessary, they are included in an Appendix and presented in an easy-to-follow way. With this book, digital signal processing leaves the domain of engineering to address the needs of scientists and scholars in traditionally less quantitative disciplines, now facing increasing amounts of data.
Applied Signal Processing
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Author : Sadasivan Puthusserypady
language : en
Publisher:
Release Date : 2021-03-31
Applied Signal Processing written by Sadasivan Puthusserypady and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-03-31 with categories.
Being an inter-disciplinary subject, Signal Processing has application in almost all scientific fields. Applied Signal Processing tries to link between the analog and digital signal processing domains. Since the digital signal processing techniques have evolved from its analog counterpart, this book begins by explaining the fundamental concepts in analog signal processing and then progresses towards the digital signal processing. This will help the reader to gain a general overview of the whole subject and establish links between the various fundamental concepts. While the focus of this book is on the fundamentals of signal processing, the understanding of these topics greatly enhances the confident use as well as further development of the design and analysis of digital systems for various engineering and medical applications. Applied Signal Processing also prepares readers to further their knowledge in advanced topics within the field of signal processing.
Introduction To Discrete Time Signals And Systems
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Author : R.I. Damper
language : en
Publisher: Springer
Release Date : 1995-06-30
Introduction To Discrete Time Signals And Systems written by R.I. Damper and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 1995-06-30 with Technology & Engineering categories.
The book provides an introduction to digital signal processing for intermediate level students of electronic and/or electrical engineering and is also relevant to other disciplines which deal with time-series analysis: these include acoustics, mathematics, statistics, psychology and economics.
Signals And Systems In Biomedical Engineering
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Author : Suresh R. Devasahayam
language : en
Publisher: Springer Science & Business Media
Release Date : 2000
Signals And Systems In Biomedical Engineering written by Suresh R. Devasahayam and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2000 with Mathematics categories.
CD-ROM includes programs for teaching signal processing in installable form.
Discrete Random Signals And Statistical Signal Processing
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Author : Charles W. Therrien
language : en
Publisher:
Release Date : 1992
Discrete Random Signals And Statistical Signal Processing written by Charles W. Therrien and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1992 with Signal processing categories.