Digital Signal Processors

Digital Signal Processors
Author: Sen-Maw Kuo
Publisher: Prentice Hall
Total Pages: 634
Release: 2005
Genre: Technology & Engineering
ISBN:

This CD contains five appendices from the book and programs (MATLAB, Simulink, C, and TMS320C5000 assembly) with their associated data files.

Digital Signal Processing

Digital Signal Processing
Author: Paulo S. R. Diniz
Publisher: Cambridge University Press
Total Pages: 678
Release: 2002-04-18
Genre: Technology & Engineering
ISBN: 9781139433501

Digital signal processing lies at the heart of the communications revolution and is an essential element of key technologies such as mobile phones and the Internet. This book covers all the major topics in digital signal processing (DSP) design and analysis, supported by MatLab examples and other modelling techniques. The authors explain clearly and concisely why and how to use digital signal processing systems; how to approximate a desired transfer function characteristic using polynomials and ratio of polynomials; why an appropriate mapping of a transfer function on to a suitable structure is important for practical applications; and how to analyse, represent and explore the trade-off between time and frequency representation of signals. An ideal textbook for students, it will also be a useful reference for engineers working on the development of signal processing systems.

Think DSP

Think DSP
Author: Allen B. Downey
Publisher: "O'Reilly Media, Inc."
Total Pages: 172
Release: 2016-07-12
Genre: Technology & Engineering
ISBN: 149193851X

If you understand basic mathematics and know how to program with Python, you’re ready to dive into signal processing. While most resources start with theory to teach this complex subject, this practical book introduces techniques by showing you how they’re applied in the real world. In the first chapter alone, you’ll be able to decompose a sound into its harmonics, modify the harmonics, and generate new sounds. Author Allen Downey explains techniques such as spectral decomposition, filtering, convolution, and the Fast Fourier Transform. This book also provides exercises and code examples to help you understand the material. You’ll explore: Periodic signals and their spectrums Harmonic structure of simple waveforms Chirps and other sounds whose spectrum changes over time Noise signals and natural sources of noise The autocorrelation function for estimating pitch The discrete cosine transform (DCT) for compression The Fast Fourier Transform for spectral analysis Relating operations in time to filters in the frequency domain Linear time-invariant (LTI) system theory Amplitude modulation (AM) used in radio Other books in this series include Think Stats and Think Bayes, also by Allen Downey.

Digital Signal Processing: A Practical Guide for Engineers and Scientists

Digital Signal Processing: A Practical Guide for Engineers and Scientists
Author: Steven Smith
Publisher: Elsevier
Total Pages: 666
Release: 2013-10-22
Genre: Technology & Engineering
ISBN: 0080477321

In addition to its thorough coverage of DSP design and programming techniques, Smith also covers the operation and usage of DSP chips. He uses Analog Devices' popular DSP chip family as design examples. - Covers all major DSP topics - Full of insider information and shortcuts - Basic techniques and algorithms explained without complex numbers

A Simple Approach to Digital Signal Processing

A Simple Approach to Digital Signal Processing
Author: Craig Marven
Publisher: Wiley-Interscience
Total Pages: 264
Release: 1996-03-26
Genre: Technology & Engineering
ISBN:

In this practical guide, a refreshing approach is taken to introducing the reader to the subject of DSP. To develop a fundamental understanding, the text keeps mathematics to a minimum and uses clear, concise explanations and examples.

Digital Signal Processing

Digital Signal Processing
Author: Li Tan
Publisher: Academic Press
Total Pages: 893
Release: 2013-01-21
Genre: Computers
ISBN: 0124159826

Digital Signal Processing, Second Edition enables electrical engineers and technicians in the fields of biomedical, computer, and electronics engineering to master the essential fundamentals of DSP principles and practice. Many instructive worked examples are used to illustrate the material, and the use of mathematics is minimized for easier grasp of concepts. As such, this title is also useful to undergraduates in electrical engineering, and as a reference for science students and practicing engineers. The book goes beyond DSP theory, to show implementation of algorithms in hardware and software. Additional topics covered include adaptive filtering with noise reduction and echo cancellations, speech compression, signal sampling, digital filter realizations, filter design, multimedia applications, over-sampling, etc. More advanced topics are also covered, such as adaptive filters, speech compression such as PCM, u-law, ADPCM, and multi-rate DSP and over-sampling ADC. New to this edition: - MATLAB projects dealing with practical applications added throughout the book - New chapter (chapter 13) covering sub-band coding and wavelet transforms, methods that have become popular in the DSP field - New applications included in many chapters, including applications of DFT to seismic signals, electrocardiography data, and vibration signals - All real-time C programs revised for the TMS320C6713 DSK - Covers DSP principles with emphasis on communications and control applications - Chapter objectives, worked examples, and end-of-chapter exercises aid the reader in grasping key concepts and solving related problems - Website with MATLAB programs for simulation and C programs for real-time DSP

The Essential Guide to Digital Signal Processing

The Essential Guide to Digital Signal Processing
Author: Richard G. Lyons
Publisher: Pearson Education
Total Pages: 206
Release: 2014
Genre: Business & Economics
ISBN: 0133804429

Using everyday examples and simple diagrams, two leading DSP consultants and instructors completely demystify signal processing with this text. Students will discover what digital signals are, how they're generated, and how they're changing life. Students will learn all they need to know about digital signal collection, filtering, analysis, and more, and how DSP works in today's most exciting devices and applications.

A DSP Primer

A DSP Primer
Author: Kenneth Steiglitz
Publisher: Prentice Hall
Total Pages: 330
Release: 1996
Genre: Computer music
ISBN:

This new book by Ken Steigliz offers an informal and easy-to-understand introduction to digital signal processing, emphasizing digital audio and applications to computer music. A DSP Primer covers important topics such as phasors and tuning forks; the wave equation; sampling and quantizing; feedforward and feedback filters; comb and string filters; periodic sounds; transform methods; and filter design. Steiglitz uses an intuitive and qualitative approach to develop the mathematics critical to understanding DSP. A DSP Primer is written for a broad audience including: Students of DSP in Engineering and Computer Science courses. Composers of computer music and those who work with digital sound. WWW and Internet developers who work with multimedia. General readers interested in science that want an introduction to DSP. Features: Offers a simple and uncluttered step-by-step approach to DSP for first-time users, especially beginners in computer music. Designed to provide a working knowledge and understanding of frequency domain methods, including FFT and digital filtering. Contains thought-provoking questions and suggested experiments that help the reader to understand and apply DSP theory and techniques.

Real-Time Digital Signal Processing

Real-Time Digital Signal Processing
Author: Sen M. Kuo
Publisher: John Wiley & Sons
Total Pages: 666
Release: 2006-05-01
Genre: Technology & Engineering
ISBN: 047003551X

Real-time Digital Signal Processing: Implementations and Applications has been completely updated and revised for the 2nd edition and remains the only book on DSP to provide an overview of DSP theory and programming with hands-on experiments using MATLAB, C and the newest fixed-point processors from Texas Instruments (TI).