give me full explanation about flow cart of lighting overvoltage protection ....etc

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When reference signal for the FxLMS algorithm is taken from an acoustic sensor convergence can be very slow due to great eigen value spread. Using a non acoustic sensor, Such as a tachometer, cancellation of narrow band noise in the sensed fundamental frequency and harmonically related ones can be achieved very fast, although other periodic noises and underline broad band noise will remain.

Backward prediction errors resulting at the various stages of an adaptive lattice predictor(ALP) represent a a time-domain orthogonalization of the input ....etc

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Abstract
Steganographic technique is a means of covert communi-
cation. In this paper, an adaptive image steganographywith
high capacity and good security is proposed. Based on lo-
cal complexity of a cover image, varying-depth embedding
is used to improve the imperceptibility and decrease dis-
tortions in it. Experimental results show that the stegano-
graphic technique may provide higher capacity and be re-
sistant to several well-known steganalytic methods.
1 Introduction
Classic methods of securing communicationmainl ....etc

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Presented By:
Nir Sochen*
Leah Bar
Nahum Kiryati
School of Electrical Engineering
Dept. of Applied Mathematics
Tel Aviv University

Abstract
Consider the problem of image deblurring in the presence of impulsive noise. Stan- dard image deconvolution methods rely on the Gaussian noise model and do not per- form well with impulsive noise. The main challenge is to deblur the image, recover its discontinuities and at the same time remove the impulse noise. Median-based ap- proaches are inadequate, because at high noise levels they ....etc

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A Time-Varying Convergence Parameter for the LMS Algorithm in the Presence of White Gaussian Noise

ABSTRACT
A novel approach for the least-mean-square (LMS) estimation algorithm is proposed. Rather than using a fixed convergence parameter , this approach utilizes a time-varying LMS parameter _n. This technique leads to faster convergence and provides reduced mean-squared error compared to the conventional fixed parameter LMS algorithm. The algorithm has been tested for noise reduction and estimation in n ....etc

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This article describes about modified band-pass filtered MFCC.Improved noise robustness is obtained by varying the time constants in each channel and adaptive gain compression of the envelope in each channel.This article also presents speech discrimination and
recognition results.
Mel-frequency cepstral coefficients (MFCCs),are not very robust for noise.Reasons include-the number of samples used to represent each frame is small compared to the original sampled waveform in most audio feature extraction processes.FFT followed by grouping into ....etc

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scada system design and construction for real time electrical parameter monitoring and control

Supervisory control and data acquisition (SCADA) systems have traditionally played a vital role by providing utilities with valuable knowledge and capabilities that are key to a primary business function - delivering power in a reliable and safe manner. A quality SCADA solution is central to effective operation of a utility's most critical and costly distribution, transmission, and generation assets.

The challenging issues for SCADA systems and proj ....etc

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A simple fuzzy method to remove mixed
Gaussian-impulsive noise from colour images ....etc

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to get information about the topic online railway reservation system full report ppt and related topic refer the page link bellow

http://seminarsprojects.net/Thread-railway-reservation-system

http://seminarsprojects.net/Thread-railway-reservation-system?page=2

http://seminarsprojects.net/Thread-sms-based-railways-reservation-system ....etc

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This dissertation addresses two classes of network flow problems in networks with multiple, stochastic and time-varying attributes. The first problem class is concerned with providing routing instructions with the ability to make updated decisions as information about travel conditions is revealed for individual travelers in a transportation network. Three exact algorithms are presented for identifying all or a subset of the adaptive Pareto-optimal solutions with respect to the expected value of each criterion from each node to a desired destin ....etc

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