International Journal of Engineering Research in Electrical and Electronic Engineering(IJEREEE)

Monthly Journal for Electrical and Electronic Engineering

International Journal of Engineering Research in Electrical and Electronic Engineering

Volume4 ,February 2017.

Volume4,February 2017,

Topic : Literature Review on a Class of Different Sparse Adaptive Algorithms for Echo Cancellation

Authors:Ms. Dhanashri M. Kadakane || Prof. Mrs. A. P. Patil

Abstract:Echo is the repetition of a waveform due to reflection from points where the characteristics of the medium through which the wave propagates changes. Echo is usefully employed in sonar and radar for detection and exploration purposes. In telecommunication, echo can degrade the quality of service, and echo cancellation is an important part of communication systems. In hands-free telephony and in teleconference systems, the main aim is to provide a good free voice quality when two or more people communicate from different places. The problem often arises during the conversation is the creation of acoustic echo. This problem will cause the bad quality of voice signal and thus talkers could not hear clearly the content of the conversation, even thought lost the important information. This acoustic echo is actually the noise which is created by the reflection of sound waves by the wall of the room and the other things exist in the room. The main objective for engineers is the cancellation of this acoustic echo and provides an echo free environment for speakers during conversation. For this purpose, scientists design different adaptive filter algorithms. In the context of acoustic echo cancellation (AEC), it is shown that the level of sparseness in acoustic impulse responses can vary greatly in a mobile environment. When the response is strongly sparse, convergence of conventional approaches is poor. we propose a class of AEC algorithms that can not only work well in both sparse and dispersive circumstances, but also adapt dynamically to the level of sparseness using a new sparseness-controlled approach. The proposed algorithms achieve these improvements with only a modest increase in computational complexity..

Keywords: Echo cancellation, Noise, Adaptive filter, Adaptive algorithm, AEC.

Download Paper


DOI: 01.1617/vol3iss2pid215


Related Articles

Optimizing Energy Savings Using Battery -Less Pv Harvesting System With Grid Backup And Real Time Solar Tracking

Authors: Achu G Kumar || Arjun Anil, Aromal B Raj

Doi : 01.1617/vol1iss1pid001

Volume2 ,March 2017.

Smart Vehicle with Automatic Speed Regulation

Authors: Anu S Pillai || Akhila T J,Shibinlal S,Raymond D Harock,Rekha T

Doi : 01.1617/vol1iss1pid002

Volume2 ,March 2017.

Speed Control of Induction Motor Using DTCSVM & Monitoring Using PLC with Motor Protection

Authors: Arun S Dev || Aleena Maria Isaac,Aswathi R,Atheena Francis,Vrinda V R,Mrs. Saritha M

Doi : 01.1617/vol1iss1pid003

Volume2 ,March 2017.

Line Power Control and Distribution using Power Line Communication

Authors: Niyas Yousuf || Jency Jose,Remya.R.J,Sreeraj Nampoothiri.N,Devootty.A.M

Doi : 01.1617/vol1iss1pid004

Volume2 ,March 2017.

Nanotechnology

Authors: Mayur Hulke ||

Doi : 01.1617/vol1iss1pid005

Volume2 ,March 2017.

Photovoltaic Power Control Using MPPT Technology

Authors: Teena Varghese || Nithu Thankam Johnson, Anju Susan Moses, Lintu Merin Philip

Doi : 01.1617/vol1iss2pid006

Volume2 ,April 2017.

Generation of Electricity by Stirling Engine from Sunlight’s Heat

Authors: Nabeel Habeeb || Athul Thomas , Jimmy George, Jibin P Joy , Jerry T. Kurian, Mr Sreenadh B

Doi : 01.1617/vol1iss2pid007

Volume2 ,April 2017.

A Smart Prepaid Anti-theft Energy meter

Authors: Ann Mary Michael || Mathews Mathew, Raghav Nath , Reeja Mathew, Rohit Koshy Roy

Doi : 01.1617/vol1iss2pid008

Volume2 ,April 2017.

PITFALL OF ARTIFICIAL INTELLIGENCE

Authors: B.Prassanna Venkatesh ||

Doi : 01.1617/vol1iss2pid009

Volume2 ,May 2017.

Smart Shopping Facilitator For Blind

Authors: Noel James || Dennis Koshy Sam,Roncy Anie Cheriyan,Sherin Elizhabeth Babu

Doi : 01.1617/vol1iss2pid010

Volume2 ,May 2017.



Editor-in-Chief

Editor Image

Editor-in-Chief
Dr.Krzysztof Chwastek
Associate Professor,
Czestochowa University of Technology, Polland.


View more

IMPACT FACTOR: 3.784

ISSN(Online): 2395-2717

Google Scholar Profile

Thomson Reuters ID : q-6288-2016.
ORCiD Research ID : 0000-0001-9540-6799

All Issues


DOWNLOADS

Copy-right Form Paper Template

ACCEPTANCE RATIO

ACCEPTANCE RATIO: 30%
ARTICLES PUBLISHED:0151
PAPER RECEIVED:00503
Journal Code : IJEREEE
Electronic ISSN : 2395-2717
Impact Factor : 3.784
Frequency : monthly
Contact : info@ijereee.com

IFERP OTHER JOURNALS


Subscribe

           Email:

SOCIAL MEDIA