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BPSK modulation system not fully

MUSIC算法[1]是一种基于矩阵特征空间分解的方法。从几何角度讲，信号处理的观测空间可以分解为信号子空间和噪声子空间，显然这两个空间是正交的。信号子空间由阵列接收到的数据协方差矩阵中与信号对应的特征向量组成，噪声子空间则由协方差矩阵中所有最小特征值（噪声方差）对应的特征向量组成。(MUSIC algorithm [1] is a feature space based on matrix decomposition method. From the geometric point of view, the signal processing can be decomposed observation space the signal subspace and the noise subspace, it is clear that the two spaces are orthogonal. Signal Subspace data received by the array covariance matrix and eigenvectors corresponding to the signal component, the noise subspace from the covariance matrix of all the smallest eigenvalue (noise variance) eigenvector components.)

说明：  用二分法和割线法求非线性方程在一区间的解，使误差不超过10E-4(With the dichotomy and the secant method for solving nonlinear equations in a range of solutions, so that error is less than 10E-4)

说明：  example for linear optimization

2混合与分数延迟滤波器多通道Sampling.pdf极小极大的设计和应用(2Hybrid Filter Banks with Fractional Delays Minimax Design and Application to Multichannel Sampling.pdf )

analysis numeric, polinom 4 deg

有关稀疏离散分数阶傅里叶的程序，其中有稀疏脉冲压缩的事例(Procedures for sparse discrete fractional Fourier, which has sparse pulse compression stories)

by Professor Barry Paton Dalhousie University

UniformNoise & RayleighNoise & UniformNoise

基于环形的领域最优粒子群优化算法，MATLAB源程序(Based on the best areas of the ring particle swarm optimization algorithm, MATLAB source code)