With the advent of packetized audio transmission, such as voice over IP (VoIP), and Voice over WLAN (VoWLAN), echo cancellation has put forth many challenging requirements. When an adaptive filter echo cancellation algorithm is used, its performance can be greatly increased, and its complexity can be reduced if it is only applied to the active regions in which echo exists. The proposed scheme e...

This paper investigates the tracking characteristics of Frequency domain least-mean-square (FDLMS) adaptive filters and Time domain least-mean square (TDLMS) adaptive filters and compares the convergence performance of TDLMS and FDLMS adaptive algorithms for both real and complex valued signals. We simulated the adaptive filter using MATLAB, and the results validate the better performance of FD...

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Using a flow chart representation of quantum optomechanical dynamics, we design coherent quantum-noise-cancellation schemes that can eliminate the backaction noise induced by radiation pressure at all frequencies and thus overcome the standard quantum limit of force sensing. The proposed schemes can be regarded as novel examples of coherent feedforward quantum control.

Crosstalk in DSL leads to significant performance degradation and large loses in data-rate. Several crosstalk cancellation techniques have been proposed to address this problem, however, in the existing literature the analysis of these approaches is based on SNR calculations and the SNR-gap approximation. Furthermore, for crosstalk cancellation techniques based on decisionfeedback, the effect o...

This thesis is an investigation of robust vector quantization, with the purpose of providing a system for the application of data compression and speech enhancement. Vector quantization is widely used in data compression systems. However, the performance of these systems will degrade in a noisy environment. The proposed robust vector quantization system solves the problem of optimal quantizatio...

By exhaustive study of image restoration and noise detection, we find Trilateral filter proposed by Garnett, Huegerich and Chui [13] an extension to the bilateral filter [1] [11] shows remarkable result while denoising digital images corrupted with mixed noise. Further Dong, Raymond H. Chan, and Shufang Xu [17] improved this trilateral filter for images corrupted with impulse noise having more ...

Electroencephalography is a technique for recording the brain’s electrical activity – the electroencephalogram or EEG. It is an important procedure in the diagnosis of several brain disorders, as well being a valuable physiological tool for studies of normal brain function. However, the EEG is often contaminated by numerous artefacts such as eye-blinks, muscle activities, and eye-movements. Thi...