Giridhar D. Mandyam

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The discrete Laguerre transform (DLT) belongs to the family of unitary transforms known as Gauss-Jacobi transforms. Using classical methodology, the DLT is derived from the orthonormal set of Laguerre functions. By examining the basis vectors of the transform matrix, the types of signals that can be best represented by the DLT are determined. Simulation(More)
We investigate receiver designs and CQI (channel quality indicator) measures for the jointly encoded (JE) and separately encoded (SE) types of MIMO transmission. For the JE transmission, we develop a per-Walsh code joint detection structure consisting of a front-end linear filter followed by joint symbol detection among all the streams. We derive a class of(More)
The lossless compression of electroencephalographic (EEG) data is of great interest to the biomedical research community. In this paper, a two-stage technique of lossless compression involving decorrelating the sample points of the EEG signal and then entropy coding the resulting signal is examined. Two alternatives are presented for performing the rst(More)
2. THE ALGORITHM In this paper, a new method to achieve lossless compression of The DCT has long been used as a method for image two-dimensional images based on the discrete cosine transform (DCT) is proposed. This method quantizes the high-energy coding and has now become the standard for video coding DCT coefficients in each block, finds an inverse DCT(More)