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Notes on Digital Signal Processing : Practical Recipes for Design, Analysis and Implementation,9780131583344
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Notes on Digital Signal Processing : Practical Recipes for Design, Analysis and Implementation



Pub. Date:
Prentice Hall

Questions About This Book?

What version or edition is this?
This is the 1st edition with a publication date of 11/19/2010.
What is included with this book?
  • The New copy of this book will include any supplemental materials advertised. Please check the title of the book to determine if it should include any CDs, lab manuals, study guides, etc.


The Most Complete, Modern, and Useful Collection of DSP Recipes: More Than 50 Practical Solutions and More than 30 Summaries of Pertinent Mathematical Concepts for Working Engineers Notes on Digital Signal Processingis a comprehensive, easy-to-use collection of step-by-step procedures for designing and implementing modern DSP solutions. Leading DSP expert andIEEE Signal Processing Magazineassociate editor C. Britton Rorabaugh goes far beyond the basic procedures found in other books while providing the supporting explanations and mathematical materials needed for a deeper understanding. Rorabaugh covers the full spectrum of challenges working engineers are likely to encounter and delves into crucial DSP nuances discussed nowhere else. Readers will find valuable, tested recipes for working with multiple sampling techniques; Fourier analysis and fast Fourier transforms; window functions; classical spectrum analysis; FIR and IIR filter design; analog prototype filters;z-transform analysis; multirate and statistical signal processing; bandpass and quadrature techniques; and much more. Notes on Digital Signal Processingbegins with mapping diagrams that illuminate the relationships between all topics covered in the book. Many recipes include examples demonstrating actual applications, and most sections rely on widely used MATLAB tools. DSP fundamentals:ideal, natural, and instantaneous sampling; delta functions; physical signal reconstruction; and more Fourier Analysis:Fourier series and transforms; discrete-time and discrete Fourier transforms; signal truncation; DFT leakage and resolution Fast Fourier transforms:decimation in time and frequency; prime factor algorithms; and fast convolution Window techniques:sinusoidal analysis; window characteristics and choices; Kaiser windows; and more Classical spectrum analysis:unmodified and modified periodograms; Bartlettrs"s and Welchrs"s periodograms; and periodogram performance FIR filters:design options; linear-phase FIR filters; periodicities; basic and Kaiser window methods; and the Parks-McClellan algorithm Analog prototype filters:Laplace transforms; characterization; and Butterworth, Chebyshev, elliptic, and Bessel filters z-Transform analysis:computation and transforms using partial fraction expansion IIR filters:design options; impulse invariance methods; and bilinear transformation Multirate signal processing:decimation and interpolation fundamentals; multistage and polyphase decimators and interpolation Bandpass and quadrature techniques:bandpass sampling; wedge diagrams; complex and analytic signals; and advanced signal generation techniques Statistical signal processing:parametric modeling of discrete-time signals; autoregressive signal models; fitting AR and All-Pole models; and more

Author Biography

C. Britton Rorabaugh currently serves as Chief Scientist for a company that develops and manufactures specialized military communications equipment. He has extensive experience in communication system design and analysis, geolocation, radar processing, real-time software, numerical methods, computer graphics, C++, C, MATLAB®, and assembly languages for various microprocessors and DSP devices. Rorabaugh is associate editor for IEEE Signal Processing Magazine and author of multiple publications on wireless communications, DSP, digital filters, and error coding. He holds a B.S. and an M.S. in electrical engineering from Drexel University.

Table of Contents

Navigating the DSP Landscape
Sampling Baseband Signals
Ideal Sampling
Natural Sampling
Instantaneous Sampling
Practical Sampling
Reconstructing Physical Signals
Sampling Bandpass Signals
Mastering DFT Basics
Analyzing DFT Leakage
Exploring DFT Resolution
Characterizing Window Functions
Estimating Spectra with the Unmodified Periodogram
Estimating Spectra with the Modified Periodogram
Estimating Spectra with Bartlettrsquo;s Periodogram
Estimating Spectra with the Welch Periodogram
Designing FIR Filters: Background & Options
Designing FIR Filters: Linear Phase Approaches
Designing FIR Filters: Window Method
Designing FIR Filters: Kaiser Window Method
Designing FIR Filters: Parks-McClellan Algorithm
ThezTransform: Definitions & Properties
Computing the InversezTransform
Designing IIR Filters: Background & Options
Designing IIR Filters: Characteristics of Analog Prototype Filters
Designing IIR Filters: Surveying Analog Prototype Filter Families
Designing IIR Filters: Impulse Invariance
Designing IIR Filters: Bilinear Transformation
Multirate Signal Processing: Decimation Basics
Multirate Signal Processing: Interpolation Basics
Frequency-Shifting Techniques: Integer-Band Sampling
Understanding Complex & Analytic Signals
Generating Analytic Signals with FIR Hilbert Transformers
Generating Analytic Signals with Frequency-Shifted FIR Lowpass Filters
Generating Analytic Signals with IIR Phase-Splitting Networks
Generating Analytic Signals with Complex Equiripple FIR Filters
Generating I & Q Channels Digitally: Raderrsquo;s Approach
Parametric Modeling of Discrete-Time Signals
Table of Contents provided by Publisher. All Rights Reserved.

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