A New Echo Cancellation Algorithm without Double-Talk Detection Based on Correlation Function

2011 ◽  
Vol 225-226 ◽  
pp. 996-999
Author(s):  
Li Jun Sun ◽  
Shou Yong Zhang ◽  
Wei Sheng Wang ◽  
Xiao Ning Zhang
Keyword(s):  
Computer Simulation ◽  
Correlation Function ◽  
Adaptive Filter ◽  
Detection Algorithm ◽  
Echo Cancellation ◽  
Acoustic Echo Cancellation ◽  
Error Signal ◽  
Echo Canceller ◽  
Filter Performance ◽  
Simulation Results

In an adaptive echo canceller, the detection algorithm able to distinguish echo path change (EPC) from double-talk (DT) is vital to ensure that adaptive filter tap coefficients are updated in case of EPC and frozen during the DT period. The paper presents a new echo cancel algorithm, which can protect the adaptive filter performance during double-talk in acoustic echo cancellation of teleconference without setting a detector. A judgment value can be directly used in the iteration formula to control the iteration speed of the filter, which composed of the correlation of the far-end signal and near-end received signal, the pre-correlation of the error signal. The computer simulation results verify that the mentioned algorithm has the good double talk protection performance, and it is very useful and efficient in distinguishing EPC from DT but with less computational complexity contrast to the congener algorithm.

Adaptive Multiple Sub-Filters Based Stereophonic Acoustic Echo Cancellation

2012 ◽  
Vol 433-440 ◽  
pp. 3022-3027
Author(s):  
Alaka Barik ◽  
Ravinder Nath ◽  
Asutosh Kar ◽  
Madhuparna Chakraborty
Keyword(s):  
Echo Cancellation ◽  
Parallel Structure ◽  
Acoustic Echo Cancellation ◽  
Least Mean Square ◽  
Echo Canceller ◽  
Adaptation Algorithm ◽  
Common Error ◽  
Acoustic Echo ◽  
Convergence Performance ◽  
Simulation Results

In this paper we present the Multiple Sub-Filters (MSF) parallel structure, Least Mean Square (LMS) adaptive algorithm, for Stereophonic Acoustic Echo Cancellation (SAEC). The convergence performance of the MSF parallel structure has been studied for two types of algorithms namely; different error algorithm and common error algorithm and has been compared with conventional echo canceller via computer simulations. Simulation results show that MSF with both adaptation algorithm provide better convergence speed as compared to the conventional SAEC realized by a Single Long Filter (SLF).

scholarly journals Simple and Efficient Double-Talk-Detector for Acoustic Echo Cancellation

2020 ◽  
Vol 37 (4) ◽  
pp. 585-592
Author(s):  
Mourad Benziane ◽  
Mohamed Bouamar ◽  
Mouldi Makdir
Keyword(s):  
Convergence Rate ◽  
Adaptive Filter ◽  
Early Stage ◽  
Recursive Estimation ◽  
Echo Cancellation ◽  
Recursive Least Squares ◽  
Acoustic Echo Cancellation ◽  
Decision Variable ◽  
Rls Algorithm ◽  
Acoustic Echo

Acoustic Echo Cancellation (AEC) is a topic that has received a great interest in recent years. However, a significant challenge remains with the problem of double-talk especially when the adaptive filter has a fast convergence rate. In this case, the double-talk detector (DTD) must reply in early stage and halt updating of the adaptive filter in order to avoid filter coefficients divergence. Indeed, a complex and inappropriate DTD can seriously affect the convergence rate of the adaptive filter and global performances of the AEC system. In this paper, an implementation of a simple and efficient DTD based on a recursive estimation of the decision variable which is resulting from the level comparison between far-end and microphone signals is proposed. The presented algorithm is then compared with the normalized cross-correlation (NCC) method which is taken as a reference in this work. In the simulation tests, the recursive least squares (RLS) algorithm is used to update the adaptive filter coefficients. The speech signals used in the tests are taken from the TIMIT database.

scholarly journals Adaptive Echo Cancellation Analysis

2021 ◽  
Author(s):  
Yongdong Sun
Keyword(s):  
Adaptive Filtering ◽  
Adaptive Algorithm ◽  
Cross Correlation ◽  
Digital Communication ◽  
Telecommunication Network ◽  
Detection Algorithm ◽  
Echo Cancellation ◽  
Echo Canceller ◽  
Rls Algorithm ◽  
Classic Problem

Echo cancellation is a classic problem in DSP and digital communication. Adaptive echo cancellation is an application of adaptive filtering to the attenuation of undesired echo in the telecommunication network. This is accomplished by modeling the echo path using an adpative filter and subtracting the estimated echo from the echo-path output. In this project, the concept of echo cancellation and echo cancellation systems are studied, simulated, and implemented in Matlab and TI TMS3206C6711 DSK. The LMS, NLMS. Fast block LMS and RLS algorithm and investigated for echo canceller and two double talk detection algorithm are presented and combined with NLMS adaptive algorithm against double talk. Finally the adaptive echo cancellation system successfully developled by the NLMS and normalized cross-correlation DTD algorithms meet the general ITU G. 168 requirements and show excellent robustness against double talk.

The two-dimensional pair correlation function for the Si(001) surface: computer simulation results

1994 ◽  
Vol 6 (6) ◽  
pp. 1083-1088 ◽  
Author(s):  
Jia Zhengming ◽  
Yang Genqing ◽  
Cheng Zhaonian ◽  
Liu Xianghuai ◽  
Zou Shichang
Keyword(s):  
Computer Simulation ◽  
Correlation Function ◽  
Pair Correlation Function ◽  
Pair Correlation ◽  
Two Dimensional ◽  
Simulation Results
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