A pulse sequence compression method and system
A technology of pulse sequence and compression method, which is applied in image communication, digital video signal modification, electrical components, etc. It can solve the problems of large transmission bandwidth and storage space, inability to integrate video codec standards, large data volume, etc., and achieve complexity low effect
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Embodiment 1
[0040] The lossless compression coding algorithm of embodiment 1 pulse sequence
[0041] Specifically, such as figure 1 As shown, according to one aspect of the present invention, the present invention proposes a kind of pulse sequence compression method, comprises the steps:
[0042] S1. Convert pulse signal to grayscale image sequence
[0043]Since the pulse sequence is stored in the format of address plus time, each signal is represented by a quadruple (x, y, t, p) with a fixed number of bits, and x and y represent the abscissa and y of the pulse signal on the image, respectively. On the ordinate, p represents the polarity of the pulse signal (expressed in 1 bit, the value is 0 or 1), and t represents the time axis. The invention transfers the pulse signal to the image domain, and then converts each consecutive n frames into an n-bit-depth image, and finally performs lossless compression in the form of image coding, which can greatly reduce the transmission bandwidth an...
Embodiment 2
[0067] Such as Figure 5 As shown, it is a schematic structural diagram of the lossless compression coding system 10 provided by the present invention, including:
[0068] Conversion module 11, is used for converting original pulse signal into grayscale image sequence;
[0069] A block division module 12, configured to perform block division on the grayscale image sequence to obtain several sub-blocks;
[0070] A prediction module 13, configured to predict each sub-block to obtain a predicted pixel value, and calculate the residual between the real value and the predicted pixel value;
[0071] The entropy coding module 14 is configured to further compress the block division information, prediction information and residual information through entropy coding, and store them as a binary code stream.
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