Interference or Noise is the major issue in any communication system. It has been used LMS and NLMS adaptive filters to de-noise the noisy signal and compare with the performance of these filters. Adaptive algorithms are the most effective and elementary. This paper investigates the noise cancellation capabilities of the adaptive filters.

One research direction to make computers become more active machines is to use audio input with far-field omni-directional microphones, these being required to face the acoustics problem of the meeting scenario. This topic is not only interesting from an artificial listener point-of-view, but also as one of the hottest topics in searchable media. In this paper two noise suppression methods for ...

For noise robustness of in-car speech recognition, most of the current systems are based on the assumption that there is only a stationary cruising noise. Therefore, the recognition rate is greatly reduced when there is music or news coming from a radio or a CD player in the car. Since reference signals are available from such in-vehicle units, there is great hope that echo cancellers can elimi...

The Multi-Code (MC) multirate DS-CDMA (Direct Sequence-Code Division Multiple Access) transmission system’s performance is analyzed, associated to aMultistage Parallel Interference Cancellation (MPIC) structure, with hyperbolic tangent decision device in the intermediate stages. Extensive Monte Carlo Simulations (MCS) considering total and partial cancellation in Additive White Gaussian Noise (...

Although background noise cancellation for speech or electrocardiographic recording is well established, however when the background noise contains vocal noises and the main signal is a breath sound, the problem becomes challenging as the signal and noise are no longer uncorrelated. In this paper, a technique for detecting the vocal noise within a breath sound and then removing it without hampe...

Adaptive filters have been used in wide range of signal processing applications because of its simplicity in computation and implementation. Various adaptive algorithms available are associated with high computational complexity when implemented practically. This paper discusses the adaptive noise cancellation problem and how the neural network can be applied for weight convergence. Adaptive fi...

A parallel between Reed Solomon codes in the complex field and multicarrier transmission using OFDM is first presented. This shows that when the signal is sent over some channel composed of Gaussian plus impulse noise, the impulse noise can be removed by a procedure similar to channel decoding, using information carried by the ”syndrome”. These results are first derived in a simple situation (o...

We demonstrate feed-forward vibration isolation on a suspended Fabry-Perot interferometer using Wiener filtering and a variant of the common least mean square adaptive filter algorithm. We compare the experimental results with theoretical estimates of the cancellation efficiency. Using data from the recent Laser Interferometer Gravitational Wave Observatory (LIGO) Science Run, we also estimate ...

We present an improved algorithm for detection of the received signal of a convolutionally encoded wireless MIMO system. The method is based on BLAST (Bell-Labs Layered Space-Time) algorithm with successive interference cancellation. Compared to existing solutions, cancellation is done adaptively. The receiver uses an MAP soft output demapper combined with an iterative (Turbo-) decoder. Adaptiv...

In this paper, we present the performance of a parallel interference cancellation (PIC) scheme in Code division multiple access with cyclic prefix (CP-CDMA) systems and proposed a new model for cyclic prefix code division multiple access with less complexity and good resistance to near-far effect. This method is mostly used for broadband wireless communication in the uplink. Parallel interferen...