CHANNEL EQUALIZATION AND BLIND DECONVOLUTION
15.1 15.2 15.3 15.4 15.5 15.6 15.7 Introduction Blind-Deconvolution Using Channel Input Power Spectrum Equalization Based on Linear Prediction Models Bayesian Blind Deconvolution and Equalization Blind Equalization for Digital Communication Channels Equalization Based on Higher-Order Statistics Summary
lind deconvolution is the process of unravelling two unknown signals that have been convolved.
NOISE AND DISTORTION
2.1 Introduction 2.2 White Noise 2.3 Coloured Noise 2.4 Impulsive Noise 2.5 Transient Noise Pulses 2.6 2.7 2.8 2.9 2.10 Thermal Noise Shot Noise Electromagnetic Noise Channel Distortions Modelling Noise
oise can be defined as an unwanted signal that interferes with the communication or measurement of another signal. A noise itself is a signal that conveys information regarding the source of the noise. For example, the noise from a car engine conveys information regarding the state of the engine.
10.1 10.2 10.3 10.4 Introduction Polynomial Interpolation Model-Based Interpolation Summary
nterpolation is the estimation of the unknown, or the lost, samples of a signal using a weighted average of a number of known samples at the neighbourhood points. Interpolators are used in various forms in most signal processing and decision making systems.
Noise-free signal space
Noisy signal space
After subtraction of the noise mean
11.1 Spectral Subtraction 11.2 Processing Distortions 11.3 Non-Linear Spectral Subtraction 11.4 Implementation of Spectral Subtraction 11.5 Summary
pectral subtraction is a method for restoration of the power spectrum or the magnitude spectrum of a signal observed in additive noise, through subtraction of an estimate of the average noise spectrum from the noisy signal spectrum.
TRANSIENT NOISE PULSES
13.1 Transient Noise Waveforms 13.2 Transient Noise Pulse Models 13.3 Detection of Noise Pulses 13.4 Removal of Noise Pulse Distortions
ransient noise pulses differ from the short-duration impulsive noise studied in the previous chapter, in that they have a longer duration and a relatively higher proportion of low-frequency energy content, and usually occur less frequently than impulsive noise. The sources of transient noise pulses are varied, and may be electromagnetic, acoustic or due to physical defects in the recording medium.
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 important topics are hearing aids using signal processing technology and hardware
architectures for digital signal processing of audio.
On the other hand, in order to know the level of economic freedom of each country, the annual study by the
Heritage Foundation and Wall Street Journal, Index of Economic Freedom 2008, is used. In this edition the
study continues implementing the changes of the previous edition, but also added some more information
about the tax load for the people. Due to this change in the study, for its interanual comparison this report
uses the updated data of 2007 with the information included in the 2008 index in order to avoid differences
distorting the reality....
This application note describes the design principles and the circuit operation of the
800VA pure Sine Wave Inverter. The pure Sine Wave inverter has various applications because of its key advantages such as operation with very low harmonic distortion and clean power like utility-supplied electricity, reduction in audible and electrical noise in Fans, fluorescent lights and so on, faster, quieter and cooler running of Inductive loads like microwaves and motors.