introduction many features, emerging from mathematical techniques, have been used in the analysis of brain signals. in this study, the physical quantity of “moment of inertia” (moi) was introduced as a feature to enhance high-frequency waves (hfws) in electroencephalography (eeg). materials and methods in this research, the recorded eegs from f3, f4, and cz points in 20 males were used. a total...

We propose a new paradigm for implementations of audio array processing algorithms on a network of distributed general-purpose computers. In contrast to currently existing DSP processor-based solutions, our approach offers new possibilities for advanced array signal processing by enabling the usage of general-purpose computing platforms with their superior computational and storage resources. W...

Using the difference in the spatial domain (direction or location) between a target signal and noise, a system with a microphone array can achieve the goal of noise reduction and speech enhancement in various environments, especially, in speech-like noisy environments. This paper deals with various issues related to the use of microphone arrays in hearing aids. It includes overall principles, a...

This paper, specifically written for GradCon ’99, presents an overview of the field of adaptive arrayprocessing. Beginning with a brief review of array synthesis theory, the concept of an adaptive array is introducedand defined. The broad field of adaptive array applications can be divided into two categories: adaptive signalprocessing for multiple access communication systems, and ...

In this paper, DOA estimation is an important research area in array signal processing. The performance of adaptive beamforming methods are known to degrade severly in the presence of uncertainty in the signal sight direction. We propose a novel adaptive beamforming with a Bayesian method. Bayesian method a posterior probability density DOA estimator has been shown to perform excellently. The p...

This report presents a tutorial of fundamental array processing and beamforming theory relevant to microphone array speech processing. A microphone array consists of multiple microphones placed at different spatial locations. Built upon a knowledge of sound propagation principles, the multiple inputs can be manipulated to enhance or attenuate signals emanating from particular directions. In thi...

Over the last decade of the 20th century, the emerging ultrawide-band (UWB) impulse technology has found numerous applications in the commercial as well as the military sectors. The rapid technological advances have made it possible to implement (cost-effective, short-range) impulse radar and impulse-radio communication and localization systems. Array beamforming and space–time processing techn...

Time-reversal signal processing can be viewed as a form of matched filtering that operates both in time and in space. Acoustic communication represents a promising potential application of the processing. In designing a communications system, constraints are imposed by the available bandwidth and by the geometry of the time-reversal array. In the present paper, the interplay between bandwidth a...

In this paper, we introduce a new technique for wideband array processing. The new algorithm is based on the total least-square approach. The total least-square method is an alternative to the least-square method and uses the fact that the errors can exist both in the focusing location matrix and the estimated location matrix at the frequency bin. To prevent the focusing loss, we use a unitary ...