Advanced Digital Signal Processing and Noise Reduction by Saeed V. Vaseghi

By Saeed V. Vaseghi

Electronic sign processing performs a principal position within the improvement of recent communique and knowledge processing platforms. the speculation and alertness of sign processing is worried with the id, modelling and utilisation of styles and constructions in a sign approach. The remark indications are usually distorted, incomplete and noisy and hence noise aid, the elimination of channel distortion, and substitute of misplaced samples are very important elements of a sign processing system.

The fourth version of Advanced electronic sign Processing and Noise Reduction updates and extends the chapters within the prior variation and contains new chapters on MIMO platforms, Correlation and Eigen research and self sustaining part research. the wide variety of subject matters coated during this booklet comprise Wiener filters, echo cancellation, channel equalisation, spectral estimation, detection and elimination of impulsive and temporary noise, interpolation of lacking information segments, speech enhancement and noise/interference in cellular communique environments. This booklet presents a coherent and established presentation of the speculation and purposes of statistical sign processing and noise aid methods.

  • Two new chapters on MIMO structures, correlation and Eigen research and self sufficient part analysis

  • Comprehensive insurance of complex electronic sign processing and noise aid equipment for verbal exchange and data processing systems

  • Examples and functions in sign and data extraction from noisy data

  • Comprehensive yet obtainable assurance of sign processing concept together with chance types, Bayesian inference, hidden Markov types, adaptive filters and Linear prediction models

Advanced electronic sign Processing and Noise Reduction is a useful textual content for postgraduates, senior undergraduates and researchers within the fields of electronic sign processing, telecommunications and statistical facts research. it's going to even be of curiosity to expert engineers in telecommunications and audio and sign processing industries and community planners and implementers in cellular and instant verbal exchange groups

Show description

Read Online or Download Advanced Digital Signal Processing and Noise Reduction PDF

Similar waves & wave mechanics books

Gauge Theories of the Strong and Electroweak Interaction

This textbook provides a complete precis of the gauge theories of the basic interactions. The authors rigidity the intimate connection among the fundamental experimental evidence and the formula of gauge theories of the robust and electroweak interplay. The suggestions and technical instruments of quantum box thought are awarded.

Quantum and statistical field theory

As a basic department of theoretical physics, quantum box concept has led, within the final two decades, to wonderful growth in our figuring out of section transitions and effortless debris. This textbook emphasizes the underlying solidarity of the suggestions and techniques utilized in either domain names, and offers in transparent language issues similar to the perturbative enlargement, Feynman diagrams, renormalization, and the renormalization workforce.

Nonlinear waves in elastic crystals

The mathematical modelling of adjusting buildings in fabrics is of accelerating significance to the place functions of the idea are present in matters as diversified as aerospace and drugs. This publication offers with facets of the nonlinear dynamics of deformable ordered solids (known as elastic crystals) the place the nonlinear results mix or compete with one another.

Additional info for Advanced Digital Signal Processing and Noise Reduction

Sample text

To design a classifier, a set of models are trained for the classes of signals that are of interest in the application. The simplest form that the models can assume is a bank, or codebook, of waveforms, each representing the prototype for one class of signals. A more complete model for each class of signals takes the form of a probability distribution function. In the classification phase, a signal is labelled with the nearest or the most likely class. For example, in communication of a binary bit stream over a band-pass channel, the binary phase-shift keying (BPSK) scheme signals the bit ‘1’ using the waveform Ac sin ωc t and the bit ‘0’ using −Ac sin ωc t.

A radar system consists of a transceiver (transmitter/receiver) that generates and transmits sinusoidal pulses at microwave frequencies. The signal travels with the speed of light and is reflected back from any object in its path. The analysis of the received echo provides such information as range, speed and acceleration. 16) 22 Introduction where A(t), the time-varying amplitude of the reflected wave, depends on the position and the characteristics of the target, r(t) is the time-varying distance of the object from the radar and c is the velocity of light.

Power savings. Power saving depends on the compression rate and the modulation method. In general digital systems can achieve power efficiency compared with analogue systems. Noise robustness. Digital waveforms are inherently robust to noise and additional robustness can be provided through error-control coding methods. Security. Digital systems can be encrypted for security, and in particular the code division multiple access (CDMA) method, employed for sharing of time/bandwidth resources in mobile phone networks, is inherently secure.

Download PDF sample

Rated 4.54 of 5 – based on 46 votes