zishiyNoise4

通过MATLAB的SIMULINK模型设计，实现伪随机数的序列发生器，并通过DSP BUILDER中的SIGNAL COMPILER转换成QuartusII工程，并实现硬件的下载。(Through the MATLAB SIMULINK model design, realization of pseudo random sequence generator, and through the DSP BUILDER of SIGNAL COMPILER converted into QuartusII engineering, and realize the hardware of the download. )

用MATLAB实现图像的离散余弦变换，程序运行结果表明离散余弦变换能够起到压缩图像的目的。(in order to compress the bite of pictur,the program use the DCT to compress.)

MATLAB simulation including control of motor,reliability with the presence of DG, and Immu algrithm for fault indicator

the simulation provides computation of target reflectivity data in the deficient elevation domain. Simulations are implemented to test the decoupled least-squares technique for high resolutionspectral estimation of target reflectivity.all seven (7)files should be downloaded for the simulation to work.(dls3D.m,estimate.m,get2S1Data.m,getConstraints.m, getImageData.m,getPixelData.m, getSLICYData.m)

Vector control example of induction machine

供做算法研究人员参考，表示出两帧图像间各个像素点的相对情况，包括最后计算压缩图像的峰值信噪比和压缩效果的源码。( Algorithm for researchers to do reference, Between two images showing the relative circumstances of each pixel, Including the final calculation of the compressed image peak signal to noise ratio and compression of the source.)

摘　要:提出一种新的基于Pareto多目标进化免疫算法(PMEIA)。算法在每一代进化群体中选取最优非支配抗体保存到记忆细胞文档中 同时引入Parzen窗估计法计算记忆细胞的熵值,根据熵值对记忆细胞文档进行动更新,使算法向着理想Pareto最优边界搜索。此外,算法基于点在目标空间分况进行克隆选择,有利于得到分布较广的Pareto最优边界,且加快了收敛速度。与已有算法相比, PMEIA在收敛性、多样性,以及解的分布性方面都得到很好的提高。(Abstract:This paperproposed a new pareto-based multi-object evolutionary mi mune algorithm(PMEIA). PMEIA selected optmi alnon-dominated antibodieswhichwere then reserved inmemory cellarchive, and introducedParzenwindow to calculate entropy ofmemory cells. Updated thememory cell archive according to entropy ofmemory cells. This guarantees the conver- gence to the true Pareto fron.t Moreover, the performance of clone selection was dependent on distribution in the objective space, whichwas favorable forgetting awidely spreadPareto frontand mi proving convergence speed. Comparedwith the exis- ted algorithms, the obtained solutions ofPMEIA havemuch betterperformance in the convergence, diversity and distribution.)

基于TCAM的高速路由查找，逻辑实现深度为32的内容查找，得到索引和命中指示(TCAM lookup based on a high-speed routing logic to realize the depth of content to find 32, get indexed and hit instructions)

Nginx Markdown module 一个nginx模块，可以将网页中的markdown语法自动转义为html,无需引入其他支持库，执行效率高。 使用--add-module编译Tengine可用dso_install动态加载。 设置实例(http块) location ~ /*.md { mdfilter on mdfilter_utf8 on } // Use Handler module location ~ /*.mkd { mdhandler mdhandler_output html }(Nginx Markdown module a nginx module can be a Web page markdown syntax is automatically escaped as html, without introducing additional support libraries, and high efficiency. Use- add-module compiled Tengine available dso_install dynamic loading. Set the instance (http block) location ~ /* md {mdfilter on mdfilter_utf8 on }.// Use Handler module location ~ /* mkd {mdhandler mdhandler_output html }.)

The distribution network has characteristics different from the transmission system. Distribution networks are commonly 1. three-phase unbalanced 2. radial with sometimes weakly meshed topology 3. with high resistance to reactance (r/x) rations here, an equivalent current injection method is used in rectangular coordinates to analyse the given radial distribution system. The FDLF method uses the NR-algorithm, with a constant Jacobian matrix. This matrix is further decoupled into two identical sub-Jacobian matrices.