MATRIX-BASED PATTERN PREDICTION OF SEMI-CHAOTIC SYSTEMS

摘要

A matrix-based pattern prediction system of the present disclosure is that of a multi-block matrix-based system that operates on an input signal having a time-based pattern that is semi-chaotic. The system includes a wavelet/time conversion block Mλ, which is representative of a wavelet transformation of a semi-chaotic input signal, and a memory block MP which stores the wavelet coefficients generated by Mλ in an asymmetric matrix. The system further includes a predictor block MPP, which performs a time shifted symbolic operation on the memory block MP and is, therefore representative of the time shifted wavelet (Mλ). A Pattern Output block transforms the output predictor block MPP into a time-based output that is predictive of the semi-chaotic time-based input at a future point in time. First and second variables (Cp and Cpp) are automatically generated and used to compensate low (Cp) and high (Cpp) frequency components of an input.