Surendra Prasad

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In this paper, we present a method of parameter estimation for a class of problems where the desired signal is embedded in colored noise with unknown covariance. The new algorithm is a variation of the covariance differencing scheme proposed by Paulraj and Kailath. Unlike the previous method, however, the proposed algorithm does not require multiple(More)
This correspondence deals with the problem of determining the source coherency structure and estimation of directions of arrival in the presence of coherent signals. The method is closely related to the smoothed rank profile (SRP) algorithm presented in [3], which Manuscript received July 20, 1987; revised October 3, 1988. This work was supported by the(More)
Latent semantic analysis (LSA) has been used in several intelligent tutoring systems(ITS’s) for assessing students’ learning by evaluating their answers to questions in the tutoring domain. It is based on word-document cooccurrence statistics in the training corpus and a dimensionality reduction technique. However, it doesn’t consider the word-order or(More)
—A class of array optimization problems is considered in which we seek to optimize the array response in a specified angular sector. The optimization of array directivity is shown to be a special limiting case of these problems as the width of the specified angular sector approaches zero. The optimum array patterns are also shown to be related to the(More)
The problem of modified ML estimation of DOA's of multiple source signals incident on a uniform linear array (ULA) in the presence of unknown, spatially correlated Gaussian noise is addressed here. Unlike previous work, the proposed method does not impose any structural constraints or parameterization of the signal and noise covariances. It is shown that(More)
This paper proposes a new method of estimating both biorthogonal compactly supported as well as semi-orthogonal infinitely/compactly supported wavelet from a given signal. The method is based on maximizing projection of the given signal onto successive scaling subspace. This results in minimization of energy of signal in the wavelet subspace. The idea used(More)
The problem of providing robustness to the conventional narrow-band uniform linear array configuration so as to handle wide-band and moving jammers is addressed here. This robustness is achieved via the use of derivative constraints in jammer directions. However, since the jammer directions are not known a priori, these constraints are incorporated with a(More)
In the last decade or so, a large number of researchers have focussed their attention on estimation of wavelet that is matched to the signal or provides best representation of the signal [3,4,5,6,7]. This paper proposes a new method for designing a wavelet matched to a given signal. The method is based on finding the maximal projection of the given signal(More)