Through the use of neural network methods and MonteCarlo modify Clipping learning algorithm for optical pattern recognition of binary phase-only matched filter optimized design. Computer simulation results show that the traditional phase-only matched filter correlation output compared with the results, which identify the output signal to noise ratio and signal correlation peak has been significantly improved, so as to achieve the future optical laid a good foundation.

纯相位二值化匹配滤波器的优化设计.pdf

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