Binary code compression and decompression and parallel compression and decompression processor

A method and corresponding apparatus for compressing a binary code includes converting an initial flow of data through serial multiplication of values of bits of a signal to be coded, receiving an a coding function, and summing all products of the serial multiplication for a predetermined period of time. The method further provides that discrete values of the coding function are used as the coding function, the coding function is a piecewise continuous function in a form of a Gaussian pulse with a frequency fill, computations of a Duamel sequence are used during conversion of the code, and the initial data and discrete values of the coding function are used as arguments of the sequence. To decompress the compressed code, inverse transformation utilizes an orthogonal coding function, with the improvement that decoded values are subtracted from undecoded compressed data, remaining values during subtraction are used to superposition the initial data flow and corresponding values of the Gaussian pulse within a section of a polynomial function, the remaining values are transformed to the initial data flow using predetermined conversion tables, and new values of an initial, decompressed function are set with a correspondence for serial values of the function that remains after subtraction.