通过采用神经网络中的Clipping方法和MonteCarlo修改学习算法，对用于光学模式识别的纯相位二值化匹配滤波器进行了优化设计。计算机模拟结果表明，和传统的纯相位匹配滤波器的相关输出结果相比，其识别输出的信噪比和信号相关峰值得到了明显的提高，从而为今后的光学实现奠定了良好的基础。-Through the use of neural network methods and MonteCarlo modify Clipping learning algorithm for optical pa

This scr ipt simulates the Binary Phase Shift keying. Since BPSK is a digital modulation scheme, you can modulate as many bits as you want. however, I have only simulated it for few bits, so that the results are visible. This is code for BPSK on

基于matlab实现干涉显微镜图像重构的相位质量优质度计算函数- PhaseDerivativeVariance creates a phase quality map by computing the variance of the partial derivatives of the locally unwrapped phase. This is then used to guide the phase unwrapping path. Uses only the 4 neares

To implement the Binary Amplitude Shift Keying, Binary Phase Shift Keying and Binary Frequency Shift Keying modulators with the help of a Digital Sinusoidal wave oscillator implemented using Look-Up Table.IN THESE ONLY BPSK IS THERE.