Fast Algorithms of Differential Correlation Analysis

Correlation analysis (CA) is one from main ingredients of DSP and often used in many fields of science and technology particularly in computational intelligence and control systems. Signals representation in PCM format allows to calculate correlation functions (CF) with assign accuracy, however at the same time causes a large number of multi-bit operations and leads to insufficient fast-acting of CA. Therefore, in such tasks it is expedient to use small-bit differential methods without multiplications. However, the known approaches to differential CA are not enough studied. This paper purpose is increasing of the fast-acting and resolution of algorithms of noisy signals CA in real time on the basis of Modified Differential PCM (MDPCM) as well as Sign Delta Modulation (SignDM).