Abstract

In recent years, sparseness-based representation methods have been studied in the field of signal processing. Among them, sparse decomposition based on Matching Pursuit is the most commonly used, but it is a NP difficult (Nondeterministic poly-nominal) problem essentially. The concept of infinity will increase the difficulty, affects its practicability. Aiming at the problem of the computational efficiency above, Matching Pursuit algorithm based on genetic algorithm is proposed to achieve sparse decomposition of signals. Then build a simulation model through MATLAB, simulate the actual DC distribution network, obtain power quality data, and use the algorithm proposed in this paper to verify, the results show that the algorithm is applied to the DC power distribution system power quality detection, in the realization of disturbance classification. At the same time, the characteristic parameters of the disturbance component can be obtained. This method not only can obtain the optimal atom with higher precision, but also can greatly reduce the calculation amount and improve the efficiency, which has certain practical value in engineering

Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call