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This paper presents an alternative energy-based algorithm to provide speech/silence classification. The algorithm is capable to track non-stationary signals and dynamically calculate instantaneous value for threshold using adaptive scaling parameter. It is based on the observation of a noise power estimation used for computation of the threshold can be obtained using minimum and maximum values of a short-term energy estimate. The paper presents this novel voice activity detection algorithm, its performance, its limitations, and some other techniques which deal with energy estimation as well. [ABSTRACT FROM AUTHOR]

An array antenna system with innovative signal processing can enhance the resolution of a signal direction of arrival (DOA) estimation. Super resolution algorithms take advantage of array antenna structures to better process the incoming signals. They also have the ability to identify multiple targets. This paper explores the Polynomial Roots Intersection for Multi-dimensional Estimation (PRIME) algorithms. The PRIME algorithm allows a polynomial rooting approach to estimate joint azimuth/elevation parameters of the signal detection for planer arrays. This method calculates a finite set of root intersections, which are the simultaneous solutions from multiple independent multivariate polynomials. The solutions for the source angle information are included in the simultaneous solutions. The PRIME algorithm does not require the use of a scan vector to scan all possible directions. The results demonstrate improvement in both resolution and computational efficiency with no loss of accuracy. Statistical analysis of the performance of the processing algorithm and processing resource requirements are discussed in this paper. Extensive computer simulations are used to show the performance of the algorithms. [ABSTRACT FROM AUTHOR]