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Digital Signal Processing Using MATLAB 4th Ed - Ingle & Proakis - LN
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Digital Signal Processing Using MATLAB 4th Ed - Ingle & Proakis - LN

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    Een boek dat er als nieuw uitziet, maar al wel is gelezen. De kaft is niet zichtbaar beschadigd en het eventuele stofomslag zit nog om de harde kaft heen. Er ontbreken geen bladzijden en er zijn geen bladzijden beschadigd. Er is geen tekst onderstreept of gemarkeerd en er is niet in de kantlijn geschreven. Er kunnen zeer minimale identificatiemerken aan de binnenzijde van de kaft zijn aangebracht. De slijtage is zeer minimaal. Bekijk de aanbieding van de verkoper voor de volledige details en een beschrijving van gebreken. Alle staatdefinities bekijkenwordt in nieuw venster of op nieuw tabblad geopend
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    “Basically a New copy that has not been used. Slight 'rounding' of front cover corner. Clean ...
    Keywords
    Digital Signal Processing, DSP, MATLAB, Cengage Learning, Cengage
    Book Title
    Digital Signal Processing Using MATLAB: A Problem Solving Comp...
    Keywords 4
    Computer Engineering, Signal Analysis, Used Textbook
    ISBN13
    9781305635128
    Keywords 3
    Problem Solving Companion, Electrical Engineering, Engineering
    Keywords 2
    4th Ed., 4th Edition, Fourth Edition, Textbook, Problem Solving
    ISBN
    9781305635128

    Over dit product

    Product Identifiers

    Publisher
    Cengage Learning
    ISBN-10
    1305635124
    ISBN-13
    9781305635128
    eBay Product ID (ePID)
    219681864

    Product Key Features

    Number of Pages
    672 Pages
    Publication Name
    Digital Signal Processing Using Matlab : a Problem Solving Companion
    Language
    English
    Subject
    Signals & Signal Processing, Mathematical & Statistical Software, Electrical
    Publication Year
    2016
    Features
    Revised
    Type
    Textbook
    Subject Area
    Computers, Technology & Engineering
    Author
    John Proakis, Vinay Ingle
    Series
    Activate Learning with These New Titles from Engineering! Ser.
    Format
    Trade Paperback

    Dimensions

    Item Height
    0.8 in
    Item Weight
    40.1 Oz
    Item Length
    9.2 in
    Item Width
    7.4 in

    Additional Product Features

    Edition Number
    4
    Intended Audience
    College Audience
    Dewey Edition
    23
    Reviews
    This book has developed a suite of MATLAB functions that can be used to determine standard digital filter structures including the direct form, cascade form, parallel form, and lattice form. The MATLAB scripts are provided with detailed explanations. Numerous examples along with block diagrams and discussions are included to show how these functions are used. Overall, I find the authors' treatment of the subject, including the MATLAB functions and examples, is among the best compared with other textbooks I know of...In terms of the treatment of using MATLAB for DSP teaching at the undergraduate level, counting the number and variety of MATLAB examples and problems, this is the most competitive book on the market in my opinion., This book has developed a suite of MATLAB functions that can be used to determine standard digital filter structures including the direct form, cascade form, parallel form, and lattice form. The MATLAB scripts are provided with detailed explanations. Numerous examples along with block diagrams and discussions are included to show how these functions are used. Overall, I find the authors' treatment of the subject, including the MATLAB functions and examples, is among the best compared with other textbooks I know ofIn terms of the treatment of using MATLAB for DSP teaching at the undergraduate level, counting the number and variety of MATLAB examples and problems, this is the most competitive book on the market in my opinion., I like the way the authors discuss the solutions to the problems. They provide enough steps in their solution to help the student keep up, but not so many steps that the student doesn't have to thinkThis book is very accessible compared to many texts. It is written clearly...It has excellent integration with MATLAB. I like the fact that the authors have no trouble introducing functions to complement the MATLAB functions., I like the way the authors discuss the solutions to the problems. They provide enough steps in their solution to help the student keep up, but not so many steps that the student doesn't have to think...This book is very accessible compared to many texts. It is written clearly...It has excellent integration with MATLAB. I like the fact that the authors have no trouble introducing functions to complement the MATLAB functions.
    Dewey Decimal
    621.3822028555
    Edition Description
    Revised edition
    Table Of Content
    1. INTRODUCTION. Overview of Digital Signal Processing. A Brief Introduction to MATLAB. Applications of Digital Signal Processing. Brief Overview of the Book. 2. DISCRETE-TIME SIGNALS AND SYSTEMS. Discrete-time Signals. Discrete Systems. Convolution. Difference Equations. 3. THE DISCRETE-TIME FOURIER ANALYSIS. The Discrete-time Fourier Transform (DTFT). The Properties of the DTFT. The Frequency Domain Representation of LTI Systems. Sampling and Reconstruction of Analog Signals. 4. THE z-TRANSFORM. The Bilateral z-Transform. Important Properties of the z-Transform. Inversion of the z-Transform. System Representation in the z-Domain. Solutions of the Difference Equations. 5. THE DISCRETE FOURIER TRANSFORM. The Discrete Fourier Series. Sampling and Reconstruction in the z-Domain. The Discrete Fourier Transform. Properties of the Discrete Fourier Transform. Linear Convolution Using the DFT. The Fast Fourier Transform. 6. IMPLEMENTATION OF DISCRETE-TIME FILTERS. Basic Elements. IIR Filter Structures. FIR Filter Structures. Overview of Finite-Precision Numerical Effects. Representation of Numbers. The Process of Quantization and Error Characterizations. Quantization of Filter Coefficients. 7. FIR FILTER DESIGN. Preliminaries. Properties of Linear-phase FIR Filters. Window Design Techniques. Optimal Equiripple Design Technique. 8. IIR FILTER DESIGN. Some Preliminaries. Some Special Filter Types. Characteristics of Prototype Analog Filters. Analog-to-Digital Filter Transformations. Lowpass Filter Design Using MATLAB. Frequency-band Transformations. 9. SAMPLING RATE CONVERSION. Introduction. Decimation by a Factor D. Interpolation by a Factor I. Sampling Rate Conversion by a Rational Factor I/D. FIR Filter Designs for Sampling Rate Conversion. FIR Filter Structures for Sampling Rate Conversion. 10. ROUND-OFF EFFECTS IN DIGITAL FILTERS. Analysis of A/D Quantization Noise. Round-off Effects in IIR Digital Filters. Round-off Effects in FIR Digital Filters. 11. APPLICATIONS IN ADAPTIVE FILTERING. LMS Algorithm for Coefficient Adjustment. System Identification of System Modeling. Suppression of Narrowband Interference in a Wideband Signal. Adaptive Line Enhancement. Adaptive Channel Equalization. 12. APPLICATIONS IN COMMUNICATIONS Pulse-Code Modulation. Differential PCM (DPCM). Adaptive PCM and DPCM (ADPCM). Delta Modulation (DM). Linear Predictive Coding (LPC) of Speech. Dual-tone Multifrequency (DTMF) Signals. Binary Digital Communications. Spread-Spectrum Communications. 13. RANDOM PROCESSES Random Variable, A Pair of Random Variables, Random Signals, Power Spectral Density, Stationary Random processes through LTI Systems, Useful Random Processes. 14. LINEAR PREDICTION AND OPTIMUM LINEAR FILTERS Innovation Representation of a Stationary Random Processes, Forward and Backward Linear Prediction, Solutions of Normal equations, Properties of Linear Prediction-Error Filters, AR Lattice and ARMA Lattice Filters, Wiener Filters for Filtering and Prediction. 15. ADAPTIVE FILTERS Applications of Adaptive Filters: System Identification and modeling, Adaptive Channel equalization, Echo cancellation, Suppression of Narrowband Interference in Wideband Signal, Adaptive Line Enhancer, Adaptive Noise Cancelling, Linear Predictive Coding of Speech Signals, Adaptive Arrays, Adaptive Direct Form FIR Filters: The LMS Algorithm, The RLS Algorithm for the Direct Form FIR Filters.
    Synopsis
    Learn to use MATLAB as a useful computing tool for exploring traditional Digital Signal Processing (DSP) topics and solving problems to gain insight with this supplementary text. DIGITAL SIGNAL PROCESSING USING MATLAB: A PROBLEM SOLVING COMPANION, 4E greatly expands the range and complexity of problems that you can effectively study. Since DSP applications are primarily algorithms implemented on a DSP processor or software, they require a significant amount of programming. Using interactive software, such as MATLAB, enables you to focus on mastering new and challenging concepts rather than concentrating on programming algorithms. This edition discusses interesting, practical examples and explores useful problems. New online chapters introduce advanced topics, such as optimal filters, linear prediction, and adaptive filters, which are essential in furthering your academic studies at the graduate level.

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