Rengansivagurunathan Rajesh

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We consider the problem of transmission of correlated discrete alphabet sources over a Gaussian multiple access channel (GMAC). A distributed bit-to-Gaussian mapping is proposed which yields jointly Gaussian codewords. This can guarantee lossless transmission or lossy transmission with given distortions, if possible. The technique can be extended to the(More)
In this paper we address the problem of transmission of correlated sources over a fading multiple access channel (MAC). We provide sufficient conditions for transmission with given distortions. Next these conditions are specialized to a Gaussian MAC (GMAC). Transmission schemes for discrete and Gaussian sources over a fading GMAC are considered. Various(More)
We consider the transmission of correlated Gaussian sources over orthogonal Gaussian channels. It is shown that the amplify and forward (AF) scheme which simplifies the design of encoders and the decoder, performs close to the optimal scheme even at high SNR. Also, it outperforms a recently proposed scalar quantizer scheme both in performance and(More)
A scheme that integrates digital signature and data hiding to provide hi–tech authentication for palette images is proposed in this paper. The scheme extracts digital signature from the original palette image and embeds it back into the same palette image, avoiding additional signature file. Digital signature generation is employed using elliptic curve(More)
The proposed processors in Part I[2], DDNAM and MNAM, are effective for small-scale neuronal assembly modeling. Realistic modeling of massive neuronal assemblies demands enormous computation resources beyond the number crunching capability of either a MNAM or a DDNAM processor. This has led us to develop two array processors, one based on mixed signal and(More)
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