svpwm

说明：  模式识别的经典使用书籍，书名pattern recognition, 作者：Sergios Theodoridis(A good book for pattern recognition, by author: Sergios Theodoridis)

balltracker with pimpong ball

本源代码主要实现谐波小波的分解及重构的matlab程序。(Source code of the main harmonic wavelet decomposition and reconstruction of the matlab program.)

This program show the effect of Gaussian filter. The output are four subfigures shown in the same figure:

说明：  在数字信号处理，采用滑动平均的方法消除噪声(In digital signal processing, using moving average method to eliminate noise)

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)

Implements Frequency Shift Keyed (FSK) receiver at Bell 202 standard

实现典型相关分析，通过虚拟阵元进行DOA估计，基于分段非线性权重值的Pso算法。( Achieve canonical correlation analysis, Conducted through virtual array DOA estimation, Based on piecewise nonlinear weight value Pso algorithm.)

说明：  matlab粗糙集属性约简程序，含详细注释(matlab rough set attribute reduction process, with detailed notes)

灰色理论模型主要采用的是的matlab编程，直接带入数据变成得出结果。(matlab GM(1,N))