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

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To get full information or details of Clustering a data set using Fuzzy K mean algorithm please have a look on the pages

http://seminarsprojects.net/Thread-data-clustering-a-seminar-report

if you again feel trouble on Clustering a data set using Fuzzy K mean algorithm please reply in that page and ask specific fields in Clustering a data set using Fuzzy K mean algorithm ....etc

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hey please help me with statistical tool to be used for recruitment and selection,through social media as a recruitment channel ....etc

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Grayscale Image Retrieval using DCT on Row mean,
Column mean and Combination



Abstract

Today in the age of information explosion, how to search appropriate data from huge information
pool has become vital issue. Images have giant share in this information pool. Because of easy
availability of imaging devices, millions of images are being added to image pool every day. Image
retrieval deals with searching relevant images from large image database. The paper presents novel
image retrieval techniques bas ....etc

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hi
I need vhdl code for object tracking by mean_shift algorithm,
can you help me? ....etc

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can you provide clear explanation for the formulas used in adaptive fuzzy k mean clustering algorithm for image segmentation.. n how the calculations are done??? ....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 generated
by cerebral cortex n ....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 ....etc

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Hi,
visit this thread for more details:
http://seminarsprojects.net/Thread-magic-squares?pid=18556#pid18556 ....etc

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An Affine Combination of two LMS adaptive filters transient mean square analysis

Abstract:
The design of many adaptive filters requires a tradeoff between convergence speed and steady-state mean-square error (MSE). A faster (slower) convergence speed yields a larger (smaller) steady-state mean-square deviation (MSD) and MSE. This property is usually independent of the type of adaptive algorithm, i.e., least mean-square (LMS), normalized least
Mean-square (NLMS), recursive least squares (RLS), or affine projection (AP).
This design tradeo ....etc

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