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Title: night vision techonology
Page Link: night vision techonology -
Posted By: lingamma
Created at: Tuesday 23rd of February 2010 09:50:28 PM
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Title: latest techonology in networking
Page Link: latest techonology in networking -
Posted By: brijeshakbari
Created at: Saturday 23rd of January 2010 02:12:36 AM
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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).
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Title: 4D Techonology
Page Link: 4D Techonology -
Posted By: sandeep550
Created at: Saturday 06th of March 2010 03:43:36 PM
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Posted By: raj06
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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: 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: 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: Implementation of Median and Mean filters using Bit planes for noise removal in image
Page Link: Implementation of Median and Mean filters using Bit planes for noise removal in image -
Posted By: seminar class
Created at: Monday 07th of March 2011 02:21:23 PM
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presented by:
K.PRATHYUSHA
T.RAJ KUMAR
D.PAPARAO
G.SHIRISHA


Bit plane
A Bit plane consists of the bits corresponding to the same significant level in all the elements
For example, the most significant bit plane is formed by considering the most significant bit(MSB) of each elements
The elements of a gray scale image have a maximum value of 255 and hence can be represented in binary domain using 8 bits
Higher order Bit planes of an image carry a significant amount of visually relevant deta ....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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