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Title: Magic Square
Page Link: Magic Square -
Posted By: nehluv12
Created at: Wednesday 23rd of June 2010 02:31:30 AM
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Title: absolute mean brightness error ambe matlab code
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Title: LINEAR BLOCK CODE as error control coding
Page Link: LINEAR BLOCK CODE as error control coding -
Posted By: project report helper
Created at: Saturday 09th of October 2010 05:34:54 PM
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LINEAR BLOCK CODE AS ERROR CONTROL CODING

PRESENTED BY:
NAME: DEBIKA DEY
SILIGURI INSTITUTE OF TECHNOLOGY

OVERVIEW:


SIMPLIFIED MODEL OF DIGITAL COMMUNICATION SYSTEM.
ERROR CONTROL CODING.
CLASSIFICATION OF ECC.
BLOCK CODES.
HAMMING CODE.
HAMMING DISTANCE & HAMMING WEIGHT.
PROPERTIES OF LBC.
GENERATOR MATRIX.
PARITY CHECK MATRIX.
RELATION BETWEEN G & H & C
DECODING OF A LINEAR CODE.
SYNDROME DECODING.
APPLICATION.
ADVANTAGES & DISADVANTAGES.


Simplified Model of Digital ....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: 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: 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: Power Factor Correction of Linear and Non-linear Loads Employing a Single Phase Activ
Page Link: Power Factor Correction of Linear and Non-linear Loads Employing a Single Phase Activ -
Posted By: seminar class
Created at: Tuesday 15th of March 2011 04:40:35 PM
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Power Factor Correction of Linear and Non-linear Loads Employing a Single Phase Active Power Filter Based on a Full-Bridge Current Source Inverter Controlled Through the Sensor of the AC Mains Current
Abstract:
In the last years the number of non-linear loads has been increasing rapidly. This non-linear load had drawn a current form the AC Mains with harmonic components, leading to low power factor, low efficiency, interference by the EMI, among others. A classic solution is the use of passive filters, which ....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: 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: DISTRIBUTED ALGORITHMS FOR CONSTRUCTING APPROXIMATE MINIMUM SPANNING TREES IN WIRELES
Page Link: DISTRIBUTED ALGORITHMS FOR CONSTRUCTING APPROXIMATE MINIMUM SPANNING TREES IN WIRELES -
Posted By: electronics seminars
Created at: Wednesday 13th of January 2010 10:16:39 AM
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DISTRIBUTED ALGORITHMS FOR CONSTRUCTING APPROXIMATE MINIMUM SPANNING TREES IN WIRELESS SENSOR NETWORKS --PARALLEL AND DISTRIBUTED SYSTEMS

While there are distributed algorithms for the minimum spanning tree (MST) problem, these algorithms require relatively large number of messages and time, and are fairly involved, making them impractical for resource-constrained networks such as wireless sensor networks. In such networks, a sensor has very limited power, and any algorithm needs to be simple, local, and energy efficient. Motivated by these ....etc

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