ABSTRACT
This report present a novel idea to capture and represent compressible signals for transmission and storage at a rate below the Nyquist rate. This method is known as compressive sampling/sensing employs non adaptive linear projections that preserve the structure of the signal. The signal is reconstruced from these projections using optimization techniques.



TABLE OF CONTENTS
1 Introduction 1
2 Data Compression 3
2.1 Types of Data Compression . . . . . . . . . . . . . . . . . . . . . . 5
2.1.1 Lossy ....etc

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Abstract

This paper presents an alternative approach to speech enhancement by using compressed sensing (CS). CS is a new sampling theory, which states that sparse signals can be reconstructed from far fewer measurements than the Nyquist sampling. As such, CS can be exploited to reconstruct only the sparse components (e.g., speech) from the mixture of sparse and non-sparse components (e.g., noise). This is possible because in a time-frequency representation, speech signal is sparse whilst most noise is non-sparse. Derivation shows that on avera ....etc

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Efficient Coverage Maintenance Based
On Probabilistic Distributed Detection


ABSTRACT:
A wireless sensor network (WSN) is a wireless network which was specially discovered to monitor physical or environmental conditions, such as temperature, sound, vibration, pressure, motion. It consists of spatially distributed autonomous sensors to detect the conditions. Now-a-days many wireless sensor networks face the critical challenge of keep maintain ....etc

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To get full information or details of compressive strength of cement total procedure please have a look on the pages

http://seminarsprojects.net/Thread-standard-test-method-for-compressive-strength-of-hydraulic-cement-mortars?pid=25291&mode=threaded

if you again feel trouble on compressive strength of cement total procedure please reply in that page and ask specific fields ....etc

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ABSTRACT

This test method covers determination of the compressive strength of hydraulic cement mortars, using 2-in. or cube specimens.Test Method C 349 provides an alternative procedure for this determination (not to be used for acceptance tests). This test method covers the application of the test using either inch-pound or SI units. The values stated in either system shall be regarded separately as standard. Within the text, the SI units are shown in brackets. ....etc

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looking for adaptive lms filtering for speech enhancement matlab program ....etc

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My name harpreet singh from patiala ,Punjab
I have equipment to check the compression of mild steel . please send me a experiment repot of compressive strength of mildsteel.
compressive strength of mild steel whole experiment with observation? ....etc

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Abstract
In this paper, we propose a new speech enhancement system using the wavelet thresholding algorithm. The basic wavelet thresholding algorithm has some defects including the assumption of white Gaussian noise (WGN), malfunction in unvoiced segments, bad auditory quality, etc. In the proposed system, we introduce a new algorithm which does not require any voiced/unvoiced detection system. Also, in this proposed method adaptive wavelet thresholding and modified thresholding functions are introduced to improve the speech enhancement perfor ....etc

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ENERGY MINIMISATION TECHNIQUE IN
WIRELESS SENSOR NETWORK USING
COMPRESSIVE SENSING.
THESIS PRELIMINARY REPORT

Submitted by
REJIRAM R
Third Semester,M.Tech
Applied Electronics and Instrumentation




CHAPTER 1
INTRODUCTION
Compressed sensing (CS) is a new method of signal and image measurement and
reconstruction that takes advantage of the fact that many signals observed have sparse
representation under some basis. CS is an emerging model based framework for
signal recovery at a rate significantly be ....etc

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source code for enhancement of single channel speech signals using mvdr in matlab

Abstract

To start off a series of three tutorial-style dsp seminar on current single-channel source separation methods, the first talk will introduce the topic of classical methods used for speech enhancement. We will cover denoising methods such as spectral subtraction, wiener filters, and probabilistic estimators (if time permits). This will give an overview of the large range of literature on reducing background noise from speech.Given the nature of the appli ....etc

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