Using fast independent component analysis algorithm,active acoustic signals mixed with gaussian noise of Sitophilus zeamais and Tribolium castaneum known as stored grain pests,were de-noised. Then Fast ICA algorithm were used to recognize and separate acoustic signals of four kinds of active acoustic signals,such as creeping and vibratory signals of Sitophilus zeamais and Tribolium castaneum. The results demonstrate the validity and accuracy to recognize each pest′s acoustic signal from mixed signals by Fast ICA algorithm.