Meyer-Baese U. Digital Signal Processing with FPGA

John Wiley & Sons Ltd, 2007, - 456 pages. Much attention in this book is paid to resolving the problems caused by overlapping of periodically sampled signal frequencies. This effect, known as aliasing, restricts application of the conventional digital signal processing methods and techniques to the frequency range where the achievable sampling rate could at least twice exceed the higher frequency present in the spectrum of the signal to be di...

This book is about bridging the gap between digital signal processing (Dsp) algorithms and their real-world implementations on state-of-the-art digital signal processors. Each chapter tackles a specific application topic, briefly describing the algorithm and discussing its implementation on the Adsp-2100 family of dsp chips. Introduction. fixed-Point arithmetic. floating-Point arithmetic. function approximation. digital filters. one-Dimensional...

Издательство Kluwer, 2002, -571 pp. With the advent of multimedia, digital signal processing (DSP) of sound has emerged from the shadow of bandwidth-limited speech processing. Today, the main applications of audio DSP are high quality audio coding and the digital generation and manipulation of music signals. They share common research topics including perceptual measurement techniques and analysis/synthesis methods. Smaller but nonetheless very...

Kehtarnavaz N. Real-Time Digital Signal Processing: Based on the TMS320C 6000. - Newnes, 2004. - 320 p. Digital Signal Processing has undergone enormous growth in usage/implementation in the last 20 years and many engineering schools are now offering real-time DSP courses in their undergraduate curricula. Our everyday lives involve the use of DSP systems inthings such as cell phones and high-speed modems; Texas Instruments has introduced the TMS...

Wiley, 2011, 396 pages (English) Quickly Engages in Applying Algorithmic Techniques to Solve Practical Signal Processing Problems With its active, hands-on learning approach, this text enables readers to master the underlying principles of digital signal processing and its many applications in industries such as digital television, mobile and broadband communications, and medical/scientific devices. Carefully developed MATLAB® examples through...

Издательство ISTE, 2006, -386 pp. Over the last decade, digital signal processing has matured; thus, digital signal processing techniques have played a key role in the expansion of electronic products for everyday use, especially in the field of audio, image and video processing. Nowadays, digital signal is used in MP3 and DVD players, digital cameras, mobile phones, and also in radar processing, biomedical applications, seismic data processing,...

Wiley-Interscience, 2005. - 440 Pages. A practical and accessible guide to understanding digital signal processing. Introduction to Digital Signal Processing and Filter Design was developed and fine-tuned from the author's twenty-five years of experience teaching classes in digital signal processing. Following a step-by-step approach, students and professionals quickly master the fundamental concepts and applications of discrete-time signals and...

Clear and concise explanations of practical DSP techniques. Written for scientists and engineers needing the power of DSP, but not the abstract theory and detailed mathematics. The Scientist & Engineer's Guide to Digital Signal Processing, by Steven W. Smith, Ph.D, provides a practical introduction to Digital Signal Processing. Covering a wide range of topics, this book is an ideal introductory text for those new to DSP, and an excellent ref...

Издательство Newnes, 2001, -239 pp. This book is not a basic digital signal processing textbook. Even though the first chapter contains a brief summary of basic digital signal processing theory, it is assumed you have good knowledge of sampling, difference equations, z-transforms, FIR and IIR filters, FFT etc. The main idea of this book is to combine the topics of signal processing theory and implementing DSP algorithms in practice/ The goal is...

Издательство Delmar, 2000, -229 pp. Digital signal processing (DSP) refers to anything that can be done to a signal using code on a computer or DSP chip. To reduce certain sinusoidal frequency components in a signal in amplitude, digital filtering is done. One may want to obtain the integral of a signal. If the signal comes from a tachometer, the integral gives the position. If the signal is noisy, then filtering the signal to reduce the amplitu...