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Title: An Affine Combination of two LMS adaptive filters transient mean square analysis
Page Link: An Affine Combination of two LMS adaptive filters transient mean square analysis -
Posted By: electronics seminars
Created at: Saturday 16th of January 2010 03:14:43 AM
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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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Title: LEAST MEAN SQUARE ALGORITHM
Page Link: LEAST MEAN SQUARE ALGORITHM -
Posted By: project report helper
Created at: Monday 01st of November 2010 08:20:35 PM
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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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Title: Jet impingement heat transfer Part I Mean and root-mean-square heat transfer
Page Link: Jet impingement heat transfer Part I Mean and root-mean-square heat transfer -
Posted By: seminar class
Created at: Thursday 05th of May 2011 05:26:40 PM
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Jet impingement heat transfer – Part I: Mean and root-mean-square heat transfer and velocity distributions
Abstract
Impinging jets provide a means of achieving high heat transfer coefficients both locally and on an area averaged basis. The currentwork forms the first stage of a two part investigation of heat transfer distributions from a heated flat surface subject to an impinging airjet for Reynolds numbers from 10,000 to 30,000 and non-dimensional surface to jet exit spacing, H/D, from 0.5 to 8. In the present paper,the rel ....etc

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Title: Grayscale Image Retrieval using DCT on Row mean Column mean and Combination
Page Link: Grayscale Image Retrieval using DCT on Row mean Column mean and Combination -
Posted By: computer girl
Created at: Wednesday 06th of June 2012 07:27:02 PM
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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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Title: adaptive fuzzy k mean clustering algorithm for image segmentation
Page Link: adaptive fuzzy k mean clustering algorithm for image segmentation -
Posted By:
Created at: Thursday 17th of January 2013 12:39:07 PM
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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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Title: LEAST MEAN SQUARE ALGORITHM
Page Link: LEAST MEAN SQUARE ALGORITHM -
Posted By: projectsofme
Created at: Wednesday 24th of November 2010 07:13:27 PM
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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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Title: Clustering a data set using Fuzzy K mean algorithm
Page Link: Clustering a data set using Fuzzy K mean algorithm -
Posted By:
Created at: Monday 25th of March 2013 03:22:09 PM
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Hi,

Can anybody help me with the matlab code of Clustering the dataset using fuzzy k mean algorithm?

Regards,
Gowri
Hi,

Can anybody help me with the matlab code of Clustering the dataset using fuzzy C mean algorithm?

Regards,
Gowri ....etc

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Title: Clustering technique-based least square support vector machine
Page Link: Clustering technique-based least square support vector machine -
Posted By: seminar details
Created at: Saturday 09th of June 2012 02:42:45 PM
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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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Title: least square channel estimation matlab code
Page Link: least square channel estimation matlab code -
Posted By:
Created at: Wednesday 22nd of May 2013 02:23:22 AM
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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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Title: source code vhdl mean shift algorithm
Page Link: source code vhdl mean shift algorithm -
Posted By:
Created at: Thursday 24th of July 2014 09:02:58 PM
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I need vhdl code for object tracking by mean_shift algorithm,
can you help me? ....etc

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