Digital Signal and Image Processing using Matlab, 2e V1 - Fundamentals ISTE Ltd and John Wiley & Sons Inc

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This fully revised and updated second edition presents the most important theoretical aspects of Image and Signal Processing (ISP) for both deterministic and random signals. The theory is supported by exercises and computer simulations relating to real applications.More than 200 programs and functions are provided in the MATLABo language, with useful comments and guidance, to enable numerical experiments to be carried out, thus allowing readers to develop a deeper understanding of both the theoretical and practical aspects of this subject. This fully revised new edition updates: - the introduction to MATLAB programs and functions as well as the Graphically displaying results for 2D displays- the Calibration fundamentals for Discrete Time Signals and Sampling in Deterministic signals- image processing by modifying the contrast - also added are examples and excercises

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Digital Signal And Image Processing Using Matlab

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Multi-Disciplinary Digital Signal Processing: A Functional Approach Using MATLAB

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Conceptual Digital Signal Processing with MATLAB Springer Verlag, Singapore

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This textbook provides an introduction to the study of digital signal processing, employing a top-to-bottom structure to motivate the reader, a graphical approach to the solution of the signal processing mathematics, and extensive use of MATLAB. In contrast to the conventional teaching approach, the book offers a top-down approach which first introduces students to digital filter design, provoking questions about the mathematical tools required. The following chapters provide answers to these questions, introducing signals in the discrete domain, Fourier analysis, filters in the time domain and the Z-transform. The author introduces the mathematics in a conceptual manner with figures to illustrate the physical meaning of the equations involved. Chapter six builds on these concepts and discusses advanced filter design, and chapter seven discusses matters of practical implementation. This book introduces the corresponding MATLAB functions and programs in every chapter with examples, and the final chapter introduces the actual real-time filter from MATLAB, and the digital signal processor (DSP). Aimed primarily at undergraduate students in electrical and electronic engineering, this book enables the reader to implement a digital filter using MATLAB and the DSP.

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Understanding Digital Signal Processing with MATLAB (R) and Solutions Taylor & Francis Ltd

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The book discusses receiving signals that most electrical engineers detect and study. The vast majority of signals could never be detected due to random additive signals, known as noise, that distorts them or completely overshadows them. Such examples i

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Digital Signal Processing with Matlab Examples, Volume 1 Springer Verlag, Singapore

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This is the first volume in a trilogy on modern Signal Processing. The three books provide a concise exposition of signal processing topics, and a guide to support individual practical exploration based on MATLAB programs.This book includes MATLAB codes to illustrate each of the main steps of the theory, offering a self-contained guide suitable for independent study. The code is embedded in the text, helping readers to put into practice the ideas and methods discussed.The book is divided into three parts, the first of which introduces readers to periodic and non-periodic signals. The second part is devoted to filtering, which is an important and commonly used application. The third part addresses more advanced topics, including the analysis of real-world non-stationary signals and data, e.g. structural fatigue, earthquakes, electro-encephalograms, birdsong, etc. The book's last chapter focuses on modulation, an example of the intentional use of non-stationary signals.

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Digital Signal Processing with Examples in MATLAB (R) Taylor & Francis Inc

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Based on fundamental principles from mathematics, linear systems, and signal analysis, digital signal processing (DSP) algorithms are useful for extracting information from signals collected all around us. Combined with today's powerful computing capabi

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Real-time Digital Signal Processing From Matlab To C With The Tms320c6x Dsps

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Digital Signal Processing with MATLAB Examples, Volume 3: Model-Based Actions and Sparse Representation

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Digital Signal Processing with MATLAB Examples, Volume 2: Decomposition, Recovery, Data-Based Actions

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Digital Signal Processing with MATLAB Examples, Volume 1: Signals and Data, Filtering, Non-Stationary Signals, Modulation

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Digital Speech Processing Using MATLAB

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Digital Signal Processing Using the ARM (R) Cortex (R) - M4 John Wiley & Sons Inc

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Digital Signal Processing and Applications Using the ARM Cortex M4 is the first book available to address hands-on DSP teaching with real-time examples using the ARM Cortex M4. It contains real-time examples using actual input and output signals, giving visible (using an oscilloscope) and audible (using a speaker or headphones) results. Signal generators and/or audio sources, e.g. iPads, can be used to provide experimental input signals.The book is an excellent teaching aid for university professors wishing to teach DSP via laboratory experiments, and for students or engineers wishing to study DSP using the inexpensive ARM Cortex M4.

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Digital Signal Processing using Arm Cortex-M based Microcontrollers ARM Education Media

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This textbook introduces readers to digital signal processing fundamentals using low-cost, high-performance Arm Cortex-M based microcontrollers as demonstrator platforms. It covers foundational concepts, principles and techniques in digital signal proce

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Digital Signal Processing And Applications Using The Arm Cortex M4

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