MATLAB

说明：  这是初学者学习Matlab的经典课件，第一到五章，包含微积分问题、线性代数问题以及数据拟合方法等(This is the classic beginner learning courseware Matlab, first to the five chapters, including the issue of calculus, linear algebra problems, and data fitting methods)

学习matlab的好资料,是你学习的好助手，你可以用来学习matlab和数学建模(this is a learn matlab very good )

DK-SVD，CVPR文章 Discriminative K-SVD dictionary learning for face recognition 源码，效果好于原始SRC(DK-SVD，the source code of CVPR paper Discriminative K-SVD dictionary learning for face recognition, its has a better performance than the classical SRC classifier )

make circle with matlab

UWB无线通信系统采用脉冲位置调制PPM的解调程序(UWB wireless communication system using pulse position modulation and demodulation process of PPM)

Nikola Tesla (Serbian Cyrillic: Никола Тесла 10 July 1856 – 7 January 1943) was a Serbian American inventor, electrical engineer, mechanical engineer, and ...

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)

Gabor filters image processing

a short introduction with detailed examples on numerical programming on Simulink/Matlab. A very good read for everyone.

As shown in (5), the inductor current oscillates around a dc value at twice the grid frequency. The PWM technique assumes a constant dc input current and thus,