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Lossy compression algorithm based on peak clipping and tail insertion technology and geometrical progression companding transform

A technology of geometric progression and compression algorithm, which is applied in the direction of code conversion, digital transmission system, electrical components, etc., can solve the problems of low compression ratio of compression algorithm, unsuitability for FTTdp+GDSL networking scheme, and high complexity

Inactive Publication Date: 2017-07-28
XINYANG NORMAL UNIVERSITY
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AI Technical Summary

Problems solved by technology

[0011] The technical problem to be solved in the present invention is that the compression ratio of the traditional compression algorithm is not high, and the general complexity is high, which is not suitable for the requirements of the FTTdp+GDSL networking scheme

Method used

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  • Lossy compression algorithm based on peak clipping and tail insertion technology and geometrical progression companding transform
  • Lossy compression algorithm based on peak clipping and tail insertion technology and geometrical progression companding transform
  • Lossy compression algorithm based on peak clipping and tail insertion technology and geometrical progression companding transform

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Embodiment Construction

[0077] The preferred technical solutions of the present invention will be described in detail below in conjunction with the accompanying drawings.

[0078] The present invention's lossy compression algorithm based on peak clipping and tail insertion technology and geometric progression companding transformation:

[0079] In the first step, according to the central limit theorem, perform N-point IFFT on any random sequence, the real part and imaginary part of the obtained time domain signal respectively obey the normal distribution, and the modulus obey the chi-square distribution. However, this system performs conjugate antisymmetric transformation before performing IFFT, so that the IFFT output only has real part signals (the imaginary part is all zero), so the time domain signal x output by IFFT statistically obeys the standard normal distribution (0-mean Gaussian distributed). The standard normal distribution probability density formula:

[0080]

[0081] Among them, σ...

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Abstract

The invention discloses a lossy compression algorithm based on peak clipping and tail insertion technology and geometrical progression companding transform. According to the simple and practical lossy compression algorithm, a direct relationship between an ADC quantification bit width and a signal-to-noise ratio is deduced at first, a lossy compression model is provided accordingly, then the peak clipping and tail insertion technology and the geometrical progression companding transform in the lossy compression model are analyzed and described in detail, algorithm complexity analysis of the lossy compression model is provided, simulation tests of three aspects, namely, the signal-to-noise ratio, a compression ratio and a bit error rate, are carried out in Matlab, and the results show that the compression model has good compression performance and high practicability.

Description

technical field [0001] The invention relates to the technical field of Internet data compression, in particular to a lossy compression algorithm based on peak clipping and tail insertion technology and geometric progression companding transformation. Background technique [0002] The research on data compression technology officially began in the late 1930s and early 1940s. In 1939, Dudley of Bell Laboratories in the United States invented the first vocoder, which is a system for compressing voice data. In 1943, Morse invented the Morse code based on statistical methods, which is the earliest example of data compression. However, the theoretical research on the data compression technology system is still started on the basis of Shannon's information theory. In 1952, Huffman (Huffman) invented Huffman coding, which is a classic data compression technology based on statistical methods, and gave the construction method of variable-length coding, which is still widely used tod...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H03M7/30H04L27/26
CPCH03M7/3059H04L27/2615H04L27/2623
Inventor 连帅彬龚克李国林张晓丽郭建涛刘艳琳
Owner XINYANG NORMAL UNIVERSITY
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