An intelligent learning-based approach using neural network and fuzzy logic to the problem of interference canceling is proposed in the paper. The famous signal-processing structure of adaptive noise canceling is used for the research of interference signal canceling, in which a neuro-fuzzy system is used as the adaptive notch filter. Four T-S fuzzy rules are in the neuro-fuzzy filter. The filt...

We designed an office cubicle that automatically mediates communications between co-workers by sensing whether users are candidate members of the same social group. The cubicle regulates visual interactions through the use of privacy glass, which can be rendered opaque or transparent upon detection of joint orientation. It regulates auditory interactions through noise-canceling headphones that ...

This paper addresses the problem of speech recognition in noise using speaker-dependent temporal constraints in the Viterbi algorithm in combination with speaker-independent HMM. It is shown that the speaker-dependent re-estimation of state duration parameters requires a low computational load and a small training database, and can lead to reductions in the error rate as high as 30% or 40% with...

In practical application, the statistical characteristics of signal and noise are usually unknown or can't have been learned so that we hardly design fix coefficient digital filter. In allusion to this problem, the theory of the adaptive filter and adaptive noise cancellation are researched deeply. According to the Least Mean Squares (LMS) and the Recursive Least Squares (RLS) algorithms realiz...

This paper presents adaptive noise canceling(ANC) using convolved reference noise. In many practical ANC applications, the reference noise has channel distortion, which may degrade its performance. If the distortion includes nonminimum-phase parts, the inverse cannot be implemented as a causal filter. Therefore, the conventional ANC system may not provide a satisfactory performance. In this pap...

A novel method of performing acoustic echo cancelling using microphone arrays is presented. The method employs a digital self-calibrating microphone system. The calibration process is a simple indirect on-site calibration that adapts to the particulars of the acoustic environment and the electronic equipment in use. Primarily intended for handsfree telephones in automobiles, the method simultan...

Noise cancellation is a common occurrence in today telecommunication systems. Adaptive filter is one of the most important areas in digital signal processing. This paper explores the removal of noise from noise corrupted audio speech signals. An adaptive FIR filter with BLMS algorithm is developed to cancel the noise from the audio speech signal. The BLMS algorithm which is one of the most effi...

Abstract A high-reliability broadband high-linearity down-converter for multi-antenna Global Navigation Satellite System (GNSS) receiver is presented in this paper. Based on direction-of-arrival estimation, the GNSS can separate signals from interfering and suppress harmful wideband radio frequency (RF) interferences. To drive off-chip 50Ω resistive load meet stringent requirements of linearity...