Various embodiments describe data compression that implements vector quantization. A computer system generates a codebook for the vector quantization by iteratively clustering vectors representative of data that should be compressed. The iterative clustering uses geometric reasoning to avoid distance computations...
Scalar quantization (标量量化) A mapping of an input value x into a finite number of output values,y: Q:x−−−>yQ:x−−−>y Vector Quantization (VQ) Vector Quantization is used in many applications such as data compression, data correction, and pattern recognition. Vector quantiza...
A scheme is proposed which is based on vector quantization (VQ) for the data-compression of multichannel ECG waveforms. N-channel ECG is first coded using m-AZTEC, a new, multichannel extension of the AZTEC algorithm. As in AZTEC, the waveform is approximated using only lines and slopes; ho...
Vector quantization is both a mathematical model and a technique for data compression, the goal of which is to minimize the transmission and storage rate for a communication system while retaining the best allowable fidelity to the original. Since the use of resources such as bandwidth will general...
Vector quantization (VQ) is a data compression method in machine learning and data mining field by representing a larger data set with a smaller number of vectors in a possible way. Several vector quantization algorithms have been proposed in recent years. Different from the classic vector quantiza...
Herb Caen, a popular columnist for the San Francisco Chronicle, recently quoted a Voice of America press release as saying that it was reorganizing in order to "eliminate duplication and redundancy. " This quote both states a goal of data compression and illustrates its common need: the removal...
Vector Quantization - Pytorch A vector quantization library originally transcribed from Deepmind's tensorflow implementation, made conveniently into a package. It uses exponential moving averages to update the dictionary. VQ has been successfully used by Deepmind and OpenAI for high quality generation of...
Quantization, the process of approximating continuous-amplitude signals by digital (discrete-amplitude) signals, is an important aspect of data compression or coding, the field concerned with the reduction of the number of bits necessary to transmit or store analog data, subject to a distortion or ...
A novel medical image compression scheme based on vector quantization (VQ) is proposed in this paper. The advantages of the technique are not only that it yields high compression ratio but also that it maintains a peak signal-to-noise ratio (PSNR). This new method involves three steps. First...
11.Vector quantization (VQ) is a popular lossy compression scheme widely used in multimedia data compressions.矢量量化是一种常用有损压缩技术,被广泛地应用于多媒体数据压缩。 12.Research on Data Representation of Scalable Vector Graphics;可伸缩矢量图形(SVG)的数据表示研究 13.An image compression by com...