Quantization, the process of approximating continuous-amplitude signals by digital (discrete-
amplitude) signals, is an important aspect of data compression or coding, the field …

With the continuing growth of modern communications technology, demand for image
transmission and storage is increasing rapidly. Advances in computer technology for mass …

This comprehensive and engaging textbook introduces the basic principles and techniques
of signal processing, from the fundamental ideas of signals and systems theory to real-world …

Hadamard Transform Optics focuses on Hadamard transform optics and Hadamard
encoded optical instruments. The techniques developed to date are described, and a unified …

Discusses various aspects of transform coding, including: source coding, constrained source
coding, the standard theoretical model for transform coding, entropy codes, Huffman codes …

A bit allocation algorithm that is capable of efficiently allocating a given quota of bits to an
arbitrary set of different quantizers is proposed. This algorithm is useful in any coding …

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A fast rate-distortion (RD) optimal scheme for coding adaptive trees whose individual nodes
spawn descendents forming a disjoint and complete basis cover for the space spanned by …

An exact derivation of an optimal lapped orthogonal transform (LOT) is presented. The
optimal LOT is related to the discrete cosine transform (DCT) in such a way that a fast …

An in-depth treatment of algorithms and standards for perceptual coding of high-fidelity
audio, this self-contained reference surveys and addresses all aspects of the field. Coverage …