The multimedia processing course provides focuses on multimedia signal representation, data compression and information retrieval. Topics include multimedia signal representation of data, audio, speech, image, and graphics, analog video, data transformation techniques such as Fourier, z, and wavelets, Shannon entropy theory, data sampling and quantization, sub-sampling and up-sampling of data, multimedia data compression techniques including lossless encoding methods including Huffman, entropy, arithmetic, run-length, lossy encoding such as transform encoding, wavelet based zero-tree, differential encoding, and vector quantization, compression standards - JPEG, MPEG, multimedia data retrieval including techniques for statistical pattern recognition and probability density estimation, introduction to content based data retrieval and multimedia data fusion.