Lessard C.S. Signal Processing of Random Physiological Signal

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...

Elsеvier Sciеnce, 1993. - 992 pages. This volume of the "Handbook of Statistics" emphasizes both theory and applications. The collection of chapters deals with the topics of fast computations and transforms in signal processing, sampling theorems, parameter estimation and signal modelling, image and multidimensional signal processing, array processing, direction-of-arrival estimation, beamforming, adaptive algorithms, multiscale signal processi...

Издательство John Wiley, 2000, -587 pp. Signal processing has always played a critical role in science and technology and development of new systems like computer tomography, wireless communication, digital cameras etc. As demand of high quality and reliability in recording and visualization systems increases, signal processing has an even more important role to play. Blind signal processing is now one if the hottest and emerging areas in signal...

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,...

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 CRC Press, 2003, -355 pp. This book is the result of an attempt to organize the major contributions to DSP area and describe subjects that are basic to DSP as it exists currently, that is, subjects that one would find essential to or at least useful in the understanding of most current applications of DSP. There are now many special topics within DSP, such as image processing, digital communications, signal coding and compression, a...

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...