Intro-Matlab-Statistics

wireless_COST231_hata_attenuation在matlab下的仿真(wireless_COST231_hata_attenuation in matlab simulation)

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)

Image denoising by wavelet analysis

simple but incomplete backpropagation

提供memeory的说明和支持。并提供EPLD的说明CODE(Provide memeory instructions and support. And provide a description of EPLD CODE)

Modeling of Solar Photovoltaic Panels in Matlab/Simscape Environment

车牌定位中，可以利用颜色信息以及边缘信息同时确定车牌位置。通过lab空间阈值检测蓝色黄色区域确定车牌区域(License plate location, you can use the color information and edge information to identify the license plate location. Blue and yellow area determining the plate area threshold of detection by lab space)

说明：  使用粒子群算法解决10个城市的旅行商问题 可绘制图形(Use the particle swarm algorithm to solve traveling salesman problem of 10 cities can draw pictures)

说明：  matlab编写的相同要求时提某列取大小值。(Matlab prepared by the same requirements when a series from a size value.)

小波分析是傅立叶分析思想方法的发展与延拓(Wavelet analysis is a Fourier analysis of the development and extension thinking)