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Title: square wave generator using ic741
Page Link: square wave generator using ic741 -
Posted By: kashif
Created at: Thursday 05th of October 2017 05:33:13 AM
I want detailed operation of square wave generator using IC 741 ....etc

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Title: how to separate the wave signals from the mixed wave using ica in matlab code ppt
Page Link: how to separate the wave signals from the mixed wave using ica in matlab code ppt -
Posted By: jayshah
Created at: Thursday 17th of August 2017 06:52:30 AM
sir, i am doing project about detecting artifacts in eeg by using ica
plz help me to complete independent component analysis code ....etc

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Title: project report on listening bug of ic741
Page Link: project report on listening bug of ic741 -
Posted By: rao
Created at: Thursday 17th of August 2017 08:17:23 AM
how can we write and represent our listening bug project report????????????????? ....etc

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Title: Magic Square
Page Link: Magic Square -
Posted By: pankaj narkhede
Created at: Thursday 17th of August 2017 05:21:39 AM
Hi,
visit this thread for more details:
http://seminarsprojects.net/Thread-magic-squares?pid=18556#pid18556 ....etc

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Title: ic741 in schmidt
Page Link: ic741 in schmidt -
Posted By: arunvl
Created at: Thursday 17th of August 2017 06:24:24 AM
pls open ds i need ap n itni security kyn lgai ha kindly give m bcz i use in my project ....etc

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Title: chi square test in hr recruitment projects
Page Link: chi square test in hr recruitment projects -
Posted By: withluvjish
Created at: Thursday 17th of August 2017 05:15:46 AM
hey please help me with statistical tool to be used for recruitment and selection,through social media as a recruitment channel ....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: Shibinm
Created at: Thursday 17th of August 2017 05:12:20 AM
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: ppt forautomatic light operated switch using ldr and ic741
Page Link: ppt forautomatic light operated switch using ldr and ic741 -
Posted By: cryon2007
Created at: Thursday 17th of August 2017 06:25:49 AM
ppt forautomatic light operated switch using ldr and ic741

Along with the modernization, people are more prone to the comfort zone. Several inventions have been made to meet this requirement. Following the same trend, here we have presented a simple circuit; automatic light operated switch using LDR and IC741. People are really busy, every second has vital role in our busy schedule.

Why shall we waste our valuable time turning on every switch in the building? The situation turns more troublesome when one needs to reach the ground floor just b ....etc

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Title: mini projects in lic using ic741
Page Link: mini projects in lic using ic741 -
Posted By: adarshs004
Created at: Thursday 17th of August 2017 06:16:16 AM
I am a 2nd year ECE student.I want to do a mini project on LIC .can you please suggest me a topic on LIC.Thank you in advance. ....etc

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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
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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