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This work presents algorithmic methods of errors reduction and 2-D signals compression in a combined PCM-DM formats. Also methods of defining Delta Modulation (DM) sampling rate and maximum and minimum DM step size in real time, basing on maximum derivative apriori estimate, are presented. This estimate is proposed to be defined by a spectrum of the previous signal realization, which is known. Further data compression in real time is achieved with help of Extremal Analysis (EA)' . EA of pictures is based on the 2-D differences -in rows (columns) or in diagonals2. This type of data compression is based only on the definition the extreme signal, and distance between these extremes. The algorithm ofrigorous, unrigorous, and unclear extreme defining is universal, and independently from any method of digitalization of pixels is presented. Also methods of errors analysis and their decrease are described. After compression with EA, the image is reconstructed in real time.

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