Surendra Prasad

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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 co-occurrence statistics in the training corpus and a dimensionality reduction technique. However , it doesn't consider the word-order or(More)
a sinusoid, provides two options for spectrum analysis. The first of these, via the clipped ACF, requires a sampling rate many times the Nyquist rate in order to match the performance of a conventional DFT analyzer [10]. The second of these, of which the Kay and Sudhaker analyzer is a particular example, requires a similarly high clock rate. The Kay and(More)
—This paper presents a new approach for the estimation of wavelets that is matched to a given signal in the statistical sense. Based on this approach, a number of new methods to estimate statistically matched wavelets are proposed. The paper first proposes a new method for the estimation of statistically matched two-band compactly supported biorthogonal(More)
—In this letter, we propose a blind multiuser detector based on a new data precoding technique for direct-sequence code-division multiple-access signals. In this technique, the modulus of all users' data is block encoded, using a sequence that is unique for each user. This precoding method, together with the analytical constant modulus algorithm for(More)
400 1000 600 800 sample number Fig. 3. Generated signal y(n). [3] R. Kuc, "Estimating acoustic attenuation from reflected ultrasound signals: Comparison of spectral-shift and spectral-difference approaches," IEEE Trans. [8] K. B. Rasmussen, "Maximum likelihood estimation of the parameters of nonminimum phase and non-causal ARMA models," IEEE Trans.
—Most of the existing techniques for DOA estimation of broadband sources use both spatial and temporal modeling. This may lead to increased complexity besides a large algorithmic delay. In this paper, we propose a technique that employs only spatial information in the form of a single spatial array covariance matrix. Assuming the source to have an ideal(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)
50 100 150 200 250 300 NUMBER OF DATA POINTS Fig. 1. Computational cost flops/iteration for stepped sine response mod-eling for transfer functions with 2, 4, and 6 system poles. 20 30 SNR (dB) 10 20 30 SNR (dB) Fig. 2. Pole parameter estimate SNR (0) = 10 logul[0 2 /MSE(0)] versus the observed data SNR in decibels. Five hundred Monte Carlo trials. N = 16.(More)