Vaseghi S.V. Advanced Digital Signal Processing and Noise Reduction

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...

Selected Methods for the Cancellation of Acoustical Echoes, the Reduction of Background Noise, and Speech Processing. With 316 Figures and 32 Tables. Contents. Acoustic Echo and Noise Control – Where did we come from and where are we going? Multi-Microphone Processing. Echo Cancellation. Noise Reduction. Selected Applications.

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...

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...

Издательство Springer, 2001, -434 pp. Обработка сигналов при помощи FPGA (Field-programmable gate arrays). Introduction. Computer Arithmetic. FIR Digital Filters. R Digital Filters. Multirate Signal processing. Fourier Transform. Advanced Topics. A Verilog Source Code. B VHDL and Verilog coding.

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 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...

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...