Sathyanarayan S. Rao

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The constant modulus algorithm (CMA) is an excellent technique for blind channel equalization. Recently signed error version of CMA (SE-CMA) and dithered signed error version (DSE-CMA) have been proposed which afford overall computational efficiency. We propose three different error functions for faster convergence. This would be essential for communication(More)
Evolutionary programming (EP) has been used for the adaptation (optimization) of IIR filters. In a previous study [1], the rate of optimization using EP was shown to be dependent on the structure of the filter used during realization. Furthermore, this dependency changes with the filter order. In this paper, the reasons for such a dependence are(More)
A wavelet-based coder-decoder (codec) structure is deened for baseband waveform coding. Numerical results for bandwidth eeciency are given, and a comparison between several diier-ent wavelets is presented. Moreover, it is shown that wavelets obey the Nyquist pulse shaping condition and provide a uniied framework for analog pulse shaping concepts of(More)
The high-resolution Cartosat-1 stereo image data is expected to have significant impact in topographic mapping and watershed applications. The objective of the present investigation is to make an assessment of the potential of the Cartosat-1 data in topographic mapping and generation of DEMs in operational mode using COTS packages. The assessment is based(More)
In this paper we present a new algorithm, fast simulated evolutionary optimization (FSEO), a multi-agent stochastic search method for optimizing the coefficients of digital filters in the signed powers-of-two (SPT) space by minimizing the weighted squared error between discrete filter frequency response and desired frequency response. Unlike conventional(More)
An improved Infinite Impulse Response (IIR) Least Mean Squares (LMS) algorithm using parallel filters and evolutionary programming techniques is introduced. IIR filters have the attractive property that they require fewer computations than a corresponding FIR filter, but they are prone to instability and local minimum problems. Evolutionary algorithms are(More)
Background noise is adversely affecting the speech intelligibility for the people with hearing loss. Over many years the problem of reducing noise in hearing aids has been addressed in different ways. The techniques used range from relatively simple forms of filtering to advanced signal processing methods. In this paper we proposed a method to cancel the(More)