Implementation of an electrical signal compression system using sparce representation

The storage of voltage and current signals over a period of time generates a large memory expense. Therefore, signal compression techniques became important in this context. This paper presents an implementation in Field Gate Programmable Array (FPGA) of an algorithm of sparse representation using redundant dictionaries, applied to the compression of electrical signals, from power systems. The representation will be based on a dictionary constituted by elements of the Fourier and Wavelet basis, that are capable to represent the stationary and transient components of the electrical signals. The results will be analyzed due to two parameters: the quality of the compressed signal, in terms of its correlation coefficient related to the original signal; and the number of elements in te representation, that is related with the compression ratio. The feasibility of the implementation in real time will be evaluated in terms of the consumed FPGA resources and the necessary frequency of operation.