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关于期权定价的matlab实例运用，还有有关的excel表格(About option pricing instance using matlab and excel spreadsheets)

基于MATLAB技术的PWM发生器仿真模型。(PWM generator simulation model based on MATLAB technology.)

sparse representation

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)

Tschebyscheff滤波器设计，包括零极点分布，幅值相位的关系。(Tschebyscheff filter design, including the zero-pole distribution, the amplitude-phase relationship.)

这是 OFDM系统的Park&Cheon定时同步和Schmidl&Cox定时同步。(This is the OFDM system Park&Cheon timing synchronization and timing synchronization for Schmidl&Cox.)

采用matlab语言编写的用内点法罚函数解决问题的方法。(The MATLAB language is used to solve the problem by using the penalty function of the interior point method.)

说明：  时分CDMA仿真代码，matlab编写，可以运行 时分CDMA仿真代码，matlab编写，可以运行(Time Division CDMA simulation code, matlab prepared, you can run around CDMA simulation code, matlab prepared, you can run)

使用Jakes方法产生单径Rayleigh衰落信道 输入多普勒频移， 样值之间的时间间隔以及 输出瑞利样值序列的长度，最后计算 输出Ns长的瑞利样值序列，加入多普勒频移

一个matlab阈值分割程序，再matlab下能运行(a Matlab threshold segmentation procedures, and then to run under Matlab)