calculation

distribution-system in ycase m file

thresholding based on FCM

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)

基于lms算法的GS抗干扰，它的效果很好(Lms algorithm based on the GS anti-jamming, and it works well)

based on the matlab just descriptuion of the data

Numerical program on Newton’s forward difference formulae, the use of Sterling formulae & the use of Newton’s backward difference formulae combindly, Trapezoidal rule, Gauss-Seidal method, Jacobi method.

说明：  Poincare映射图像有不同的做法，一般是通过画出系统的Poincare映射图来看是否为混沌(Poincare map images are different approaches to the general through the draw system in terms of Poincare map for the chaotic)

简单的emd开发程序，matlab程序，含试验数据。(EMD developed a simple procedure, matlab program, including test data.)

使用matlab编写的多径衰落的有关仿真程序(Prepared using matlab multipath fading of the simulation program)

DPSK信号的调制解调Matlab代码实现的一个例子(采用正交调制解调)，方法简单可靠，使用性强(DPSK signal modulation and demodulation of a Matlab example code (using quadrature modulation and demodulation), a simple and reliable methods, the use of strong)