Abstract: The invention discloses a bearings-only target tracking method based on pseudo-linear maximum correlation entropy Kalman filtering, which introduces the correlation entropy function into pseudo-linear Kalman filtering to solve the problem of non-Gaussian noise. A bearings-only target tracking algorithm based on pseudo-linear maximum correlation entropy Kalman filtering is also proposed. The invention combines the maximum correlation entropy theory with pseudo-linear Kalman filtering, and the target tracking accuracy is higher and divergence can be avoided when working in a non-Gaussian environment.

Abstract: A hardware decompression acceleration engine including: an input buffer for receiving to-be-decompressed data from a software layer of a host computer; a decompression processing unit coupled to the input buffer for decompressing the to-be-decompressed data, the decompression processing unit further receiving first and second flags from the software layer of the host computer, wherein the first flag is indicative of a location of the to-be-decompressed data in a to-be-decompressed data block and the second flag is indicative of a presence of an intermediate state; and an output buffer for storing decompressed data from the decompression processing unit.

Abstract: A hardware decompression acceleration engine including: an input buffer for receiving to-be-decompressed data from a software layer of a host computer; a decompression processing unit coupled to the input buffer for decompressing the to-be-decompressed data, the decompression processing unit further receiving first and second flags from the software layer of the host computer, wherein the first flag is indicative of a location of the to-be-decompressed data in a to-be-decompressed data block and the second flag is indicative of a presence of an intermediate state; and an output buffer for storing decompressed data from the decompression processing unit.