We present several natural notions of distance between spectral density functions of (discrete-time) random processes. They are motivated by certain filtering problems. First we quantify the degradation of performance of a predictor which is designed for a particular spectral density function and then used to predict the values of a random process having a different spectral density. The logari...

Noise reduction for mobile telephony applications is considered. A power spectral density error analysis is applied to the method of power subtraction. A minimum power spectral density error subtraction factor is derived, where the resulting factor depends on introduced quality factors. The outcome of the analysis is compared with experimental work as well as standardized noise reduction schemes.

The importance of the equipment and secondary systems in seismic design and performance evaluation is well recognized and has been the subject of many studies. In all of these studies, earthquake is considered as a single component, and in most of them the primary system is considered as shear building. Most attention has been concentrated on the response of secondary system and its response sp...

In this paper, chaotic dynamic and nonlinear control in a glucose-insulin system in types I diabetic patients and a healthy person have been investigated. Chaotic analysis methods of the blood glucose system include Lyapunov exponent and power spectral density based on the time series derived from the clinical data. Wolf's algorithm is used to calculate the Lyapunov exponent, which positive val...

Two popular spectral-based approaches for estimating the evolutionary power spectral density (EPSD) function from samples of process are based on short-time Fourier transform (STFT) and continuous wavelet transform. Both rely concept slowly varying modulation or EPSD function, although quantification effect 'slow' variation in estimated is elusive. We propose, present study, to use derivatives ...

The computation of power spectra, cross spectra, coherence, and bispectra of various types of geophysical raildom processes is part of the established routine. Since it is routine, some of the standard procedures need to be examined rather carefully to be certain that the assumptions behind the procedures are applicable to the data on hand. The basic criteria for a particular method are its res...

A method for nonstationary noise robust automatic speech recognition (ASR) is to first estimate the changing noise statistics and second clean up the features prior to recognition accordingly. Here, the first is accomplished by noise tracking in the spectral domain, while the second relies on Bayesian enhancement in the feature domain. In this way we take advantage of our recently proposedmaxim...