Titlebook: Vector Quantization and Signal Compression; Allen Gersho,Robert M. Gray Textbook 1992 Springer Science+Business Media New York 1992 Jitter

表臉

車床

0893-3405 anizing in order to "eliminate duplication and redundancy. " This quote both states a goal of data compression and illustrates its common need: the removal of duplication (or redundancy) can provide a more efficient representation of data and the quoted phrase is itself a candidate for such surgery.

Chronic

Random Processes and Linear Systems process. Where this is not the case, there would be no need to communicate the signal—it would already be known to the potential user. In addition to the original signal, the system itself may have random components such as the addition of random noise or the introduction of digital errors in a random fashion.

conflate

排名真古怪

Vector Quantization II:Optimality and Design A few of the ideas are sketched, but the detailed developments are left to the literature. See in particular Chapter 5 of [159] and the original references such as [347], [348], [349], [137], [345], [38].

capillaries

Predictive Vector Quantizationders possessing memory may be more efficient in the sense of providing better performance at given bit rates and complexity by taking advantage of the inter-vector or inter-block dependence or correlation.

有機(jī)體

propose

Random Processes and Linear Systemsools and techniques of linear systems play an important part in their analysis. In a mathematical model of a communication system in general and a signal coding system in particular, it is usually assumed that the data to be communicated (or stored, compressed, processed,...) is produced by a random

財(cái)產(chǎn)

鑒賞家

Scalar Quantization I: Structure and Performanceating value from a predetermined finite set of allowed numerical values. Ordinarily the input value is . that is, it may take on any value from a continuous range of possible amplitudes; furthermore, the output is ., being uniquely specified by an integer in the set {1, 2, 3, ? ? ?, ., where . is th