unknown noise and artifacts present in medical signals with  non-linear fuzzy filter will be estimate and then removed. an adaptive neuro-fuzzy interference system which has a nonlinear  structure presented  for the noise function prediction by before samples. this paper is about a neuro-fuzzy method to estimate unknown noise of electrocardiogram (ecg) signal. adaptive neural combined with fuzz...

Prediction and cancelation of redundant information is an important feature that many neural systems must display in order to efficiently code external signals. We develop an analytic framework for such cancelation in sensory neurons produced by a cerebellar-like structure in wave-type electric fish. Our biologically plausible mechanism is motivated by experimental evidence of cancelation of pe...

It is proposed an information theoretic search engine is like RADAR. The query words are the emitted signals and the document database is the object to be detected. Various echoes come off the database, and analogous with echo cancelation, the signal with the lowest entropy is selected. Commensurate with Shannon's theory, low entropy documents are signal, higher entropy documents are noise. Thu...

This paper proposes a built-in self-test (BIST) scheme for noise-tolerant testing of a digital-to-analogue converter (DAC). The proposed BIST calculates the differences in output voltages between a DAC and test modules. These differences are used as the inputs of an integrator that determines integral nonlinearity (INL). The proposed method has an advantage of random noise cancelation and achie...

In this paper, we design coordinated beamforming at base stations (BSs) to facilitate interference cancelation at users in interference networks, where each BS is equipped with multiple antennas and each user is with a single antenna. By assuming that each user can select the best decoding strategy to mitigate the interference, either canceling the interference after decoding when it is strong ...

In this paper, a novel two-element-microphone-array-based speech enhancement algorithm is proposed. This algorithm is designed to achieve better overall performance with relatively small array size. A frequency domain adaptive null-forming is used, in which adaptive noise cancelation is implemented in auditory subbands. And an OM-LSA based post ltering stage further puri es the output. The algo...

This paper is concerned with frequency modulated (FM) interference cancelation in GPS receivers. FM signals are instantaneously narrowband and have clear time–frequency signatures that are distinct from the GPS C/A spreading codes. Interference cancelation is performed by first constructing the interference subspace and then projecting the data onto the orthogonal subspace. Interference subspac...

The presence of strong acoustic feedback degrades the convergence speed of the active noise control (ANC) filter, and in the worst case the ANC system may become unstable. Here we present an overview of the existing methods developed to neutralize the effects of acoustic feedback. We identify the problems with the existing methods, and propose a new method. The proposed method uses three adapti...

Automatic speech segmentation as an important part of speech recognition system (ASR) is highly noise dependent. Noise is made by changes in the communication channel, background, level of speaking etc. In recent years, many researchers have proposed noise cancelation techniques and have added visual features from speaker’s face to reduce the effect of noise on ASR systems. Removing noise from ...