zhikuoxinhaoxuanhuanpu

its a ml decoder for alamouti code detection

考察温度x对产量y的影响，测得下列10组数据：求y关于x的线性回归方程，检验回归效果是否显著，并预测x=42℃时产量的估值及预测区间（置信度95 ） 示例包含在内(X on the output of the temperature study of the impact of y, measured the following 10 sets of data: for y on x of the linear regression equation to test whether the effect of a significant regression and prediction when x = 42 ℃, and the valuation of yield prediction interval (confidence level 95 ) sample included)

神经网络matlab实现各种hop(Hopfield)算法(hopfield,ANN)

改进的粒子群算法，有更好的性能，提高了算法的搜索能力(Improved particle swarm optimization, better performance, improved search ability of the algorithm)

基于保偏光纤的Sagnac环透射谱仿真程序，可以用于计算自由光谱范围等(Based on the transmission spectrum of polarization-maintaining fiber Sagnac loop simulation program, and can be used to calculate the free spectral range and so on)

潮流计算。用于电力系统的潮流计算，用的是牛顿法。(power flow)

较为简单的MC CDMA系统matlab仿真(Simpler MC CDMA system simulation matlab)

PLS - DN是一个有限的牛顿为解决非退化的分段线性系统的算法。 PLS - DN的展品可证明半迭代 财产即在全球范围内的精确解在有限数量的迭代算法收敛。被证明是收敛速度 至少前终止线性。 广泛的算法是在我们的AISTATS 2011纸描述：“一个非退化的分段线性系统的有限牛顿算法”。此演示包重新运行 在解决非负最小二乘法（NNLS）问题上的三个稀疏的设计矩阵，从哈威尔波音收集（达夫等人，1989年）第4.2节的实验。 随着PLS - DN，此演示包建议实施五 其他NNLS求解：LCP_Fisher_Newton，LCP_Lemke，PQN，TRESNEI，和SCD (PLS- DN is a finite non-degenerate Newton to solve the piecewise linear system algorithms. PLS- DN exhibits semi-iterative property to prove that the exact solutions worldwide in a limited number of iterative convergence. Proved to be terminated before the linear convergence rate at least. A wide range of algorithms in our AISTATS 2011 paper describes: " a non-degenerate sub-linear systems with limited Newton algorithm." This demo package to re-run in the settlement of non-negative least squares (NNLS) on the design of the three sparse matrices from the Harwell Boeing collection (Duff et al, 1989) Section 4.2 of the experiment. With PLS- DN, this demonstrates the implementation of five other NNLS package proposed solution: LCP_Fisher_Newton, LCP_Lemke, PQN, TRESNEI, and SCD)

说明：  包含两个功能的源程序： 1 学生面试问题（如何实现老师面试学生人数的合理规划）。 2 JPDA算法的matlab实现。(The source code contains two functions: a student interview questions (a teacher interview how to achieve a reasonable number of students planning). 2 JPDA algorithm matlab implementation.)

MATLAB code for BPSK(binary phase shift keying) modulation and demodulation