Advanced Digital Signal Processing
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Advanced Digital Signal Processing
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Author : Glenn Zelniker
language : en
Publisher: CRC Press
Release Date : 1993-10-28
Advanced Digital Signal Processing written by Glenn Zelniker and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1993-10-28 with Technology & Engineering categories.
Provides a detailed treatment of the concepts and applications of advanced digital signal processing.
Advanced Digital Signal Processing
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Author : John G. Proakis
language : en
Publisher:
Release Date : 1992
Advanced Digital Signal Processing written by John G. Proakis 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.
Modern Digital Signal Processing
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Author : V. UDAYASHANKARA
language : en
Publisher: PHI Learning Pvt. Ltd.
Release Date : 2012-04-02
Modern Digital Signal Processing written by V. UDAYASHANKARA and has been published by PHI Learning Pvt. Ltd. this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-04-02 with Technology & Engineering categories.
Intended as a text for three courses—Signals and Systems, Digital Signal Processing (DSP), and DSP Architecture—this comprehensive book, now in its Second Edition, continues to provide a thorough understanding of digital signal processing, beginning from the fundamentals to the implementation of algorithms on a digital signal processor. This Edition includes a new chapter on Continuous Time Signals and Systems, and many Assembly and C programs, which are useful to conduct a laboratory course in Digital Signal Processing. Besides, many existing chapters are modified substantially to widen the coverage of the book. Primarily designed for undergraduate students of Electronics and Communication Engineering, Electronics and Instrumentation Engineering, Electrical and Electronics Engineering, Instrumentation and Control Engineering, Computer Science and Engineering, and Information Technology, this text will also be useful as a supplementary text for advanced digital signal processing and real time digital signal processing courses of Postgraduate programmes. KEY FEATURES : Provides a large number of worked-out examples to strengthen the grasp of the concepts of digital signal processing. Explains the architecture, addressing modes and instructions of TMS 320C54XX fixed point DSP with assembly language and C programs. Includes MATLAB programs and exercises throughout the book. Offers review questions and multiple choice questions at the end of each chapter to help students test their understanding about the fundamentals of the subject. Contains MATLAB commands in Appendix.
Advanced Digital Signal Processing And Noise Reduction
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Author : Saeed V. Vaseghi
language : en
Publisher: John Wiley & Sons
Release Date : 2006-02-03
Advanced Digital Signal Processing And Noise Reduction written by Saeed V. Vaseghi and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-02-03 with Science categories.
Signal processing plays an increasingly central role in the development of modern telecommunication and information processing systems, with a wide range of applications in areas such as multimedia technology, audio-visual signal processing, cellular mobile communication, radar systems and financial data forecasting. The theory and application of signal processing deals with the identification, modelling and utilisation of patterns and structures in a signal process. The observation signals are often distorted, incomplete and noisy and hence, noise reduction and the removal of channel distortion is an important part of a signal processing system. Advanced Digital Signal Processing and Noise Reduction, Third Edition, provides a fully updated and structured presentation of the theory and applications of statistical signal processing and noise reduction methods. Noise is the eternal bane of communications engineers, who are always striving to find new ways to improve the signal-to-noise ratio in communications systems and this resource will help them with this task. * Features two new chapters on Noise, Distortion and Diversity in Mobile Environments and Noise Reduction Methods for Speech Enhancement over Noisy Mobile Devices. * Topics discussed include: probability theory, Bayesian estimation and classification, hidden Markov models, adaptive filters, multi-band linear prediction, spectral estimation, and impulsive and transient noise removal. * Explores practical solutions to interpolation of missing signals, echo cancellation, impulsive and transient noise removal, channel equalisation, HMM-based signal and noise decomposition. This is an invaluable text for senior undergraduates, postgraduates and researchers in the fields of digital signal processing, telecommunications and statistical data analysis. It will also appeal to engineers in telecommunications and audio and signal processing industries.
Digital Signal Processing
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Author : Zahir M. Hussain
language : en
Publisher: Springer Science & Business Media
Release Date : 2011-02-17
Digital Signal Processing written by Zahir M. Hussain 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 2011-02-17 with Technology & Engineering categories.
In three parts, this book contributes to the advancement of engineering education and that serves as a general reference on digital signal processing. Part I presents the basics of analog and digital signals and systems in the time and frequency domain. It covers the core topics: convolution, transforms, filters, and random signal analysis. It also treats important applications including signal detection in noise, radar range estimation for airborne targets, binary communication systems, channel estimation, banking and financial applications, and audio effects production. Part II considers selected signal processing systems and techniques. Core topics covered are the Hilbert transformer, binary signal transmission, phase-locked loops, sigma-delta modulation, noise shaping, quantization, adaptive filters, and non-stationary signal analysis. Part III presents some selected advanced DSP topics.
Advanced Digital Signal Processing
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Author : PROAKIS
language : en
Publisher:
Release Date : 2002-02
Advanced Digital Signal Processing written by PROAKIS and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2002-02 with categories.
This textbook and reference for graduate level courses in digital signal processing can be used in a variety of courses. It includes details about deterministic signal processing, algorithms for convolution and DFT, multirate DSP, digital filter banks, wavelets and multiresolution analysis.
Advanced Digital Signal Processing
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Author : Shaila D. Apte
language : en
Publisher:
Release Date : 2013
Advanced Digital Signal Processing written by Shaila D. Apte and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013 with Signal processing categories.
Advanced Digital Signal Processing
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Author : Jian Wang
language : en
Publisher:
Release Date : 2018-06
Advanced Digital Signal Processing written by Jian Wang and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-06 with categories.
Signal processing applications frequently encounter multi-dimensional real-time performance requirements and restrictions on resources, which makes software implementation complex. Although major advances have been made in embedded processor technology for this application domain particularly, in technology for programmable digital signal processors - traditional compiler techniques applied to such platforms do not generate machine code of desired quality. Consequently, low-level, human-driven fine-tuning of software implementations is needed, and we are therefore in need of more effective strategies for software implementation for signal processing applications. In this book, a number of important memory and performance optimization problems are addressed for translating high-level representations of signal processing applications into embedded software implementations.This book covers selected topics in advanced digital signal processing (DSP), including theories and applications, containing contributions by a large number of experts around the world. It is intended to provide highlights of the current trends in the digital signal processing area, showing the recent advances in this field. The covered chapters present practical advances and recent applications of digital signal processing in several areas as communications, filtering, medicine, astronomy, and image processing. This book will fulfill the need of students and researchers in the digital signal processing and related areas as well as appeal to anyone with a scientific background desiring to have knowledgeable overview of this field.
Advanced Digital Signal Processing
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Author : 王向荣
language : en
Publisher:
Release Date : 2022
Advanced Digital Signal Processing written by 王向荣 and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022 with Signal processing categories.
Brief Notes In Advanced Dsp
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Author : Artyom M. Grigoryan
language : en
Publisher: CRC Press
Release Date : 2018-10-03
Brief Notes In Advanced Dsp written by Artyom M. Grigoryan and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-10-03 with Technology & Engineering categories.
Based on the authors’ research in Fourier analysis, Brief Notes in Advanced DSP: Fourier Analysis with MATLAB® addresses many concepts and applications of digital signal processing (DSP). The included MATLAB® codes illustrate how to apply the ideas in practice. The book begins with the basic concept of the discrete Fourier transformation and its properties. It then describes lifting schemes, integer transformations, the discrete cosine transform, and the paired transform method for calculating the discrete Hadamard transform. The text also examines the decomposition of the 1D signal by so-called section basis signals as well as new forms of 2D signal/image representation and decomposition by direction signals/images. Focusing on Fourier transform wavelets and Givens–Haar transforms, the last chapter discusses the problem of signal multiresolution. This book presents numerous interesting problems and concepts of unitary transformations, such as the Fourier, Hadamard, Hartley, Haar, paired, cosine, and new signal-induced transformations. It aids readers in using new forms and methods of signals and images in the frequency and frequency-and-time domains.