Golomb S.W., Gong G. Signal Desing for Good Correlation

This text provides a complete introduction to signal analysis. Inclusion of fundamental ideas—analog and discrete signals, linear systems, Fourier transforms, and sampling theory—makes it suitable for introductory courses, self-study, and refreshers in the discipline. But along with these basics, Signal Analysis: Time, Frequency, Scale, and Structure gives a running tutorial on functional analysis—the mathematical concepts that generalize linear...

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...

Эта книга попадает также под раздел Matlab & Simulink Springer, 2011, -350p In three parts, this book contributes to the advancement of engineering education and that serves as a general reference on digital signal processing. Part I presents the basics of analog and digital signals and systems in the time and frequency domain. It covers the core topics: convolution, transforms, filters, and random signal analysis. It also treats important...

Решебник к книге, Издательство McGraw-Hill, 2001, -487 pp. Digital Signal Processing: A Computer-Based Approach" is intended for a two-semester course on digital signal processing for seniors or first-year graduate students. Based on user feedback, a number of new topics have been added to the second edition, while some excess topics from the first edition have been removed. The author has taken great care to organize the chapters more logical...

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...

2nd Edition. John Wiley and Sons, Ltd, 2000, - 473 pages. Introduction. Noise and Distortion. Probability Models. Bayesian Estimation. Hidden Markov Models. Wiener Filters Adaptive Filters. Linear Prediction Models. Power Spectrum and Correlation. Interpolation. Spectral Subtraction. Impulsive Noise. Transient Noise Pulses. Echo Cancellation. Channel Equalisation and Blind Deconvolution.

John Wiley and Sons, Ltd, 2006. Introduction. Noise and Distortion. Probability and Information Models. Bayesian Inference. Hidden Markov Models. Least Square Error Filters. Adaptive Filters. Linear Prediction Models. Power Spectrum and Correlation. Interpolation. Spectral Amplitude Estimation. Impulsive Noise. Transient Noise Pulses. Echo Cancellation. Channel Equalisation and Blind Deconvolution. Speech Enhancement in Noise. Noise in Wireless C...

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...

Издательство Cambridge University Press, 2008, -781 pp. For many years, rumors have been circulating in the realm of digital signal processing about quantization noise: (a) the noise is additive and white and uncorrelated with the signal being quantized, and (b) the noise is uniformly distributed between plus and minus half a quanta, giving it zero mean and a mean square of one-twelfth the square of a quanta. Many successful systems incorporatin...