Dear Sir,
Can you please provide the code for An improved dft based channel estimation algorithm for mimo ofdm systems, as i have the code but the execution results are not related with the abstract results.
thanks in advance. ....etc

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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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i need mat lab code for an improved dft based channel estimation algorithm for mimo ofdm systems
sent me the mat lab code for an improved dft based channel estimation algorithm for mimo ofdm systems ....etc

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Channel Estimation for OFDM System with Two Training Symbols Aided and Polynomial Fitting




INTRODUCTION

ORTHOGONAL frequency division multiplexing
(OFDM) is a high spectral efficiency transmission
scheme. It divides a wideband signal into many orthogonal
subcarriers and induces a symbol period that is much
longer than the bit duration. However, a long symbol
period is sensitive to the time-varying channel in wireless
communications. The channel respo ....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 ....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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hey i want a project on channel estimation.... ....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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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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