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Proceedings ArticleDOI

Frequency Domain Adaptive Filter using FFT Algorithm for Acoustic Echo Cancellation

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TLDR
Acoustic echo cancellation of the frequency domain adaptive filter is compared with timedomain adaptive filter and results are compared for both frequency domain and time domain adaptive filters with different step sizes.
Abstract
Adaptive Filters are generally implemented in the time domain which works well in most scenarios however in many applications the impulse response becomes too long, increasing the complexity of the filter beyond a level where it can no longer be implemented efficiently in the time domain. An example of where this can happen would be in acoustic echo cancellation applications in hands free telephony. However there exists an alternative solution and that is to implement the filters in the frequency domain. The Discrete Fourier Transform or more specifically the Fast Fourier Transform (FFT) allows the conversion of signals from the time domain to the frequency domain in an efficient manner. Acoustic echo cancellation of the frequency domain adaptive filter is compared with time domain adaptive filter. Again results are compared for both frequency domain and time domain adaptive filters with different step sizes.

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Citations
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Patent

Echo cancellers and echo cancelling methods

Ferenc Nagy
TL;DR: In this paper, the adaptive filter of an echo canceller is updated when it is determined that the updating would result in a lower residual echo, based on the corrected ERF impulse response.
Journal ArticleDOI

Frequency-Domain RF Self-Interference Cancellation for In-Band Full-Duplex Communications

TL;DR: In this paper , a frequency-domain Radio Frequency (RF) SIC (RF-SIC) framework with a novel filter weight optimization algorithm is proposed to tackle the challenges of wireless in-band backhaul.
Journal ArticleDOI

Frequency-Domain RF Self-Interference Cancellation for In-Band Full-Duplex Communications

TL;DR: In this article , a frequency-domain Radio Frequency (RF) SIC (RF-SIC) framework with a novel filter weight optimization algorithm is proposed to tackle the challenges of wireless in-band backhaul.

Novel based Method to Adaptive Algorithm for Acoustic Echo Cancellation of Speech signal in an auditorium

H.N. Suresh
TL;DR: A new adaptive algorithm in the frequency domain for acoustic echo cancellation of speech signal in an auditorium, which produces the flexible forgetting factor in a min-max manner and experimental results showed that the proposed ARLS algorithm outperformed than the existing RLS algorithm.

New Technique for Recursive Least Square Adaptive Algorithm for Acoustic Echo Cancellation of Speech signal in an auditorium

H. N. Suresh
TL;DR: A new adaptive algorithm in the frequency domain for acoustic echo cancellation of speech signal in an auditorium, which produces the flexible forgetting factor in a min-max manner and experimental results showed that the proposed ARLS algorithm outperformed than the existing RLS algorithm.
References
More filters
Book

Adaptive Filter Theory

Simon Haykin
TL;DR: In this paper, the authors propose a recursive least square adaptive filter (RLF) based on the Kalman filter, which is used as the unifying base for RLS Filters.
Book

Multirate Systems and Filter Banks

TL;DR: In this paper, a review of Discrete-Time Multi-Input Multi-Output (DIMO) and Linear Phase Perfect Reconstruction (QLP) QMF banks is presented.
Book

Digital Signal Processing: A Practical Approach

TL;DR: This book covers a number of DSP techniques that are of particular relevance to industry such as adaptive filtering and multirate processing, and offers modern coverage of the fundamentals, implementation and applications of digital signal processing techniques from a practical point of view.
Book

Adaptive filtering primer with MATLAB

TL;DR: In this paper, the Z-Transform Discrete-Time Systems Problems Hints-Solutions-suggestions RANDOM VARIABLES, SEQUENCES, and STOCHASTIC PROCESSES Random Signals and Distributions Averages Stationary Processes Special Random Signal and Probability Density Functions Wiener-Khinchin Relations Filtering Random Processes this paper.
Proceedings ArticleDOI

Novel variable step size nlms algorithms for echo cancellation

TL;DR: Two new variable step size (VSS) methods for adaptive filters are presented that eliminate the need for a separate double-talk detection algorithm in echo cancellation applications and have excellent convergence characteristics with an intrinsic immunity to double- talk.