apitalizing on the tremendous per formance gains of turbo codes and the turbo decoding algorithm, turbo equalization is an iterative equalization and decoding technique that can achieve equally impressive performance gains for communication systems that send digital data over channels that require equalization, i.e., those that suffer from intersymbol interference (ISI). In this article, we dis...

The performance of decision feedback equalizers (DFE’s) working on a noiseless channel with correct tap weights is studied. We show that the space of channel parameters can accordingly be partitioned into a finite number of sets. The error recovery performance of a DFE is the same for all DFE’s within one such set, and is determinable. We also discuss some tight bounds for recovery time statist...

Turbo equalization is a joint iterative equalization and decoding technique known to produce superior performance for Inter-Symbol Interference (ISI) channel, comparing to noniterative methods. We analyze turbo equalization that employs linearly encodable LDPC codes. The codes are irregular and their degree profiles are optimized in order to achieve capacityapproaching performance. To optimize ...

We study the turbo equalization approach to coded data transmission over channels with intersymbol interference. In the original system invented by Douillard et al., the data are protected by a convolutional code and the receiver consists of two trellis-based detectors, one for the channel (the equalizer) and one for the code (the decoder). It has been shown that iterating equalization and deco...

The results of a theoretical study on global sound equalization in rectangular rooms at low frequencies are presented. The zone where sound equalization can be obtained is a continuous three-dimensional region that occupies almost the complete volume of the room. It is proved that the equalization of broadband signals can be achieved by the simulation of a traveling plane wave using FIR filters...

In this paper, we present Gabor features extraction based on front-end processing using histogram equalization for noisy speech recognition. The proposed features named as Histogram Equalization of Gabor Bark Spectrum features, HeqGBS features are extracted using 2-D Gabor processing followed by a histogram equalization step from spectro-temporal representation of Bark spectrum of speech signal...

An evaluation was made of the efficacy of a digital feedback equalization algorithm employed by the Central Institute for the Deaf Wearable Adaptive Digital Hearing Aid. Three questions were addressed: 1) Does acoustic feedback limit gain adjustments made by hearing aid users? 2) Does feedback equalization permit users with hearing-impairment to select more gain without feedback? and, 3) If mor...

Previous approaches for modulation spectrum equalization were evaluated only for the Aurora 2 small vocabulary task. We further apply these approaches on the Aurora 4 large vocabulary task. In the spectral histogram equalization (SHE) approach, we equalize the histogram of the modulation spectrum for each utterance to a reference histogram obtained from clean training data. In the magnitude rat...

NONLINEAR EQUALIZATION BASED ON DECISION FEEDBACK EQUALIZER FOR OPTICAL COMMUNICATION SYSTEM by Xiaoqi Han Nonlinear impairments in optical communication systems have become the major performance limiting factor of optical communication systems. The equalizer based on linear filters has limited compensation capability. Therefore, nonlinear models based equalizers are proposed for performance en...