Prime

应用MATLAB编写的二维时域有限差分程序。是初学FDTD的好帮手。建议初学者参考。(Application of MATLAB to prepare two-dimensional finite difference time domain procedure. FDTD are learning a good helper. Recommended reference for beginners.)

data converters by maloberti

基于FDTD的1D点源分布远远场场分布，程序简单，易于阅读和使用，适合初学者。 (FDTD-based one-dimensional distribution of far field point source field distribution, the program is simple, easy to read and use, suitable for beginners.)

说明：  该程序对卷积码的编解码过程进行了simulink建模，并设置了合理参数。(The program shows the simulink model for code and decode of convolution process, and set reasonable parameters.)

加入噪声的音乐信号的分帧后的短时能量和过零率的特性，用matlab语言的实现(Short time after joining the framing of the noise of the music signal energy and zero-rate characteristics using Matlab language)

MATLAB工具箱，进行电力系统分析，计算最优潮流(MATLAB toolbox, power system analysis, optimal power flow calculation)

This application detects motion in real time. A webcam could be used.

说明：  Arithmetic Coding. C arithmetic coding to achieve the source, the short concise, which is the encoding efficiency of the coding - arithmetic coding examples of the application of a version of Matlab. Be right characters arithmetic coding 2. Not the beginning develop the size of s

matlab双线性插值算法实现图像放大源代码(matlab bilinear interpolation algorithm to enlarge the image)

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)