Adaptive Hybrid Data Lossless Compression System
A data lossless, compression system technology, applied in the direction of code conversion, electrical components, etc., can solve the problems of reducing compression performance, occupying bits, etc., to achieve the effect of improving compression efficiency, high compression rate, and strong flexibility
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Embodiment 1
[0046] see figure 1, the adaptive hybrid data lossless compression system described in a preferred embodiment of the present invention, the adaptive hybrid data lossless compression system includes: a central controller, the central controller includes a statistical analysis, a linear prediction module, Statistical decision module, Golomb coding module;
[0047] The statistical analysis module compares the signal analysis statistical characteristics of the signal to be encoded with the set threshold value to determine whether the signal to be encoded needs to be predicted,
[0048] If prediction is required, the statistical analysis module outputs the signal to be encoded to the linear prediction module; the linear prediction module performs linear prediction on the signal to be encoded to obtain a residual signal, and outputs the residual signal to the statistical decision module; the statistical judgment module obtains Golomb encoding parameters based on the residual signal...
Embodiment 2
[0068] In the adaptive mixed data lossless compression system described in this embodiment, on the basis of Embodiment 1, the linear prediction module, including a prediction coefficient calculation unit, runs the Levinson-Durbin Levinson-Durbin algorithm to calculate each frame The linear prediction coefficient of the signal to be encoded, specifically including:
[0069] The Yule-Walker equation for p-order linear prediction is as follows:
[0070]
[0071] in, is the autocorrelation coefficient;
[0072] There are p+1 equations in the Yule-Walker equation,
[0073] When k=0,1,2,...,p When known, solve a pk [k=1, 2, . . . , p] and Sample p+1 unknowns, where a pk predictive coefficient, is the minimum error power;
[0074] Autocorrelation Coefficient in Yule-Walker Equation for Linear Prediction Calculating the minimum forecast error power of the second-order forecast based on the Levinson-Durbin algorithm
[0075] The recursive formula of Levinson-Durbin ...
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