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Title: Multiband Hysteresis Modulation and Switching Characterization for Sliding-Mode
Page Link: Multiband Hysteresis Modulation and Switching Characterization for Sliding-Mode -
Posted By: prasad.pullangode
Created at: Thursday 17th of August 2017 08:32:07 AM
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Multiband Hysteresis Modulation and Switching Characterization for Sliding-Mode-Controlled Cascaded Multilevel Inverter



INTRODUCTION

THE BASIC motivations for the use of multilevel inverters
are the reduction of voltage stress on power electronic
devices and the reduction in the switching harmonic content
of the voltage delivered by the voltage-source inverter (VSI).
The cascaded H-bridge multilevel-inverter (CHBMLI) configuration
has the advantage of its simplicity and mod ....etc

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Title: vhdl code for multiband flexible divider
Page Link: vhdl code for multiband flexible divider -
Posted By: whtnxt
Created at: Thursday 05th of October 2017 03:51:59 AM
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Title: hysteresis modulation of multilevel inverters
Page Link: hysteresis modulation of multilevel inverters -
Posted By: pervez4pari
Created at: Thursday 05th of October 2017 04:24:07 AM
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Title: photovoltaic parallel resonant dc link soft switching inverter using hysteresis curr
Page Link: photovoltaic parallel resonant dc link soft switching inverter using hysteresis curr -
Posted By: chaitanya
Created at: Thursday 17th of August 2017 06:37:57 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: Shibinm
Created at: Thursday 17th of August 2017 05:12:20 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: hysteresis motor ppt
Page Link: hysteresis motor ppt -
Posted By: naval
Created at: Thursday 17th of August 2017 04:46:02 AM
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Title: image retrieval using k mean cluster source code
Page Link: image retrieval using k mean cluster source code -
Posted By: harryanand
Created at: Thursday 17th of August 2017 05:39:13 AM
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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: AwarseAcrobre
Created at: Thursday 05th of October 2017 05:34:06 AM
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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: aslimath
Created at: Thursday 17th of August 2017 05:03:02 AM
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Title: LEAST MEAN SQUARE ALGORITHM
Page Link: LEAST MEAN SQUARE ALGORITHM -
Posted By: r n midhun
Created at: Thursday 17th of August 2017 06:30:09 AM
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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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