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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: 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 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: Least Cost System Operation Economic Dispatch 1
Page Link: Least Cost System Operation Economic Dispatch 1 -
Posted By: seminar surveyer
Created at: Wednesday 13th of October 2010 02:49:37 PM
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Introduction

Complex system time scale separation
Least cost system operation
Economic dispatch first view
Generator cost characteristics
Four curves of generator performance
Constrained optimization
Linear programming
Economic dispatch completed

Long term system planning: Production cost
Decide what to build
Hourly to monthly decisions: Unit commitment
Decide which plants to have warmed up and ready to go
Different technologies have different requirements
Minutes to Hour: Economic dispatch
Decide which plants ....etc

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Title: least square channel estimation matlab code
Page Link: least square channel estimation matlab code -
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Created at: Wednesday 22nd of May 2013 02:23:22 AM
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Title: Least Slack Time LST
Page Link: Least Slack Time LST -
Posted By: seminar projects crazy
Created at: Saturday 13th of June 2009 08:39:31 PM
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Least Slack Time ( LST )
scheduling is a scheduling algorithm. It assigns priority based on the slack time of a process. It is also known as Least Laxity First. Its most common use is in embedded systems, especially those with multiple processors. It imposes the simple constraint that each process on each available processor possesses the same run time, and that individual processes do not have an affinity to a certain processor. This is what lends it a suitability to embedded systems. Slack time This scheduling Slack time is defined as the te ....etc

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Title: Human Detection Using Partial Least Squares Analysis
Page Link: Human Detection Using Partial Least Squares Analysis -
Posted By: smart paper boy
Created at: Friday 29th of July 2011 05:18:59 PM
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Abstract
Significant research has been devoted to detecting people
in images and videos. In this paper we describe a human detection
method that augments widely used edge-based features
with texture and color information, providing us with
a much richer descriptor set. This augmentation results
in an extremely high-dimensional feature space (more than
170,000 dimensions). In such high-dimensional spaces,
classical machine learning algorithms such as SVMs are
nearly intractable with respect to training. Furthermore,
the number ....etc

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Title: least slack time scheduling example
Page Link: least slack time scheduling example -
Posted By:
Created at: Wednesday 30th of March 2016 07:13:48 AM
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Title: DESIGNING OF ROBUST IMAGE STEGANGRAPHY TECHNIQUE BASED ON LEAST SIGNIFICANT BIT LSB
Page Link: DESIGNING OF ROBUST IMAGE STEGANGRAPHY TECHNIQUE BASED ON LEAST SIGNIFICANT BIT LSB -
Posted By: seminar surveyer
Created at: Wednesday 29th of December 2010 06:03:47 PM
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1. INTRODUCTION



1.1 INTRODUCTION

Since the rise of the Internet one of the most important factors of information technology and communication has been the security of information. Cryptography was created as a technique for encrypt and decrypt data in order to keep the message secret. Unfortunately it is sometimes not enough to keep the contents of a message secret, it may also be necessary to keep the existence of the message secret. The technique used to implement this, is called steganography.

Steganography is th ....etc

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Title: Least Slack Time LST
Page Link: Least Slack Time LST -
Posted By: computer science crazy
Created at: Thursday 03rd of September 2009 07:57:08 PM
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Least Slack Time ( LST )
Least Slack Time (LST) scheduling is a scheduling algorithm. It assigns priority based on the slack time of a process. It is also known as Least Laxity First. Its most common use is in embedded systems, especially those with multiple processors. It imposes the simple constraint that each process on each available processor possesses the same run time, and that individual processes do not have an affinity to a certain processor. This is what lends it a suitability to embedded systems. Slack time This scheduling algorith ....etc

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