Performance analysis of channel estimation and adaptive equalization in slow fading channelPresented By:
Zhifeng Chen, Electrical and Computer Engineering, University of Florida
ABSTRACT
In our project, we first build up a wireless communication simulator including Gray coding, modulation, different channel models (AWGN, flat fading and frequency selective fading channels), channel estimation, adaptive equalization, and demodulation. Next, we test the ef ....etc

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sir my name is swathi iwant the applications of adaptive channel equalization . pls sir it is most wanted to me ....etc

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Dear sir/mam,
i want to matlab code for my project phase.
....etc

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it is very useful for any distortion to get it from the original signal to avoid jamming so we use both wiener filter and lms so i need to study both of two cases to see what is new
it is very useful for any distortion to get it from the original signal to avoid jamming so we use both wiener filter and lms so i need to study both of two cases to see what is new ....etc

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Clustering technique-based least square support vector machine for EEG signal classification





Introduction

The electroencephalogram (EEG) signal is a measure of the
summed activity of approximately 100 millions of neurons
lying in the vicinity of the recording electrodes . It may provide
insight into the functional structure and dynamics of the
brain . Basically the EEG is complex and aperiodic time
series containing information of the electrical activity g ....etc

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LEAST MEAN SQUARE ALGORITHM

Introduction


The Least Mean Square (LMS) algorithm, introduced by Widrow and Hoff in 1959 is an adaptive algorithm, which uses a gradient-based method of steepest decent . LMS algorithm uses the estimates of the gradient vector from the available data. LMS incorporates an iterative procedure that makes successive corrections to the weight vector in the direction of the negative of the gradient vector which eventually leads to the minimum mean square error. Com ....etc

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Hello, i need the matlab code for a least squares channel estimation algorithm? can somebody hepl me? ....etc

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Channel equalization


Introduction
In a communication system, the information is transmitted over a RF channel

The RF channel distorts the transmitted signal
Amplitude, frequency, phase are changed

A receiver should compensate the distortions to recover the transmitted signal
Channel equalization is the compensation process of the distortions in a RF transmission
In order to counter intersymbol interference effect, the observed signal is passed thr ....etc

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Channel Estimation & Equalization for WiMAX

Introduction

The Altera® channel estimation and equalization modules for mobile
worldwide interoperability for microwave access (WiMAX) can be used
to accelerate the development of mobile broadband wireless basestations
based on the IEEE 802.16e-2005 standard .
f For more information on IEEE 802.16e-2005, refer to the IEEE Standard for
Local and Metropolitan Area Networks Part 16: Air Interface for Fixed and
Mobile Broadband Wireless Access ....etc

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LEAST MEAN SQUARE ALGORITHM



Introduction
The Least Mean Square (LMS) algorithm, introduced by Widrow and Hoff in 1959 is an adaptive algorithm, which uses a gradient-based method of steepest decent . LMS algorithm uses the estimates of the gradient vector from the available data. LMS incorporates an iterative procedure that makes successive corrections to the weight vector in the direction of the negative of the gradient vector ....etc

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