zhuantaiISAR

利用阈值循环来实现图像分割，分割效果很好(Threshold cycle to achieve image segmentation, segmentation works well)

this is very nice article.enjoy

以单相桥式分支模块组成的整流电路仿真模型(Single phase bridge rectifier modules branch circuit simulation model)

支持向量机，是比较金典的libsvm，在各种分类计算中应该很实用(Support vector machine (SVM), is a valuable libsvm, should be very useful in various classification calculation)

说明：  ck_conty为判断图的连通性的matlab mex文件，另附带包含BFS和DFS的C源程序(ck_conty for judging connectivity map matlab mex file, and the other side contains the BFS and DFS)

hacking the art of exploitation good thorough book about hacking

有限元求解结构固有频率和振型、显示（中心差分法，Newmark法）、隐式法、非线性法程序(middle difference/Newmark/nonlinear)

PLS部分最小二乘工具箱,基于K均值的PSO聚类算法,Pisarenko谐波分解算法。( PLS PLS toolbox, K-means clustering algorithm based on the PSO, Pisarenko harmonic decomposition algorithm.)

用Cohen--Coon整定公式来求P,PI,PID的个参数，其中Gc是校正器的传递函数,kp为比例系数， Ti为积分时间常数，Td为微分时间常数，输入参量vars为带迟滞--惯性环节模型的KT τ 输入参量vars为带迟滞--惯性环节的K T ι，已知参数k=vars（1）；T=vars（2）；ι=vars（3）。(With Cohen- Coon tuning formula to seek P, PI, PID' s parameters, which Gc is the corrector transfer function, kp the proportional coefficient, Ti the integral time constant, Td for the differential time constant, input parameters vars as with hysteresis- inertia model KT τ as input parameters vars with hysteresis- inertia of KT ι, the known parameters k = vars (1) T = vars (2) ι = vars (3).)

《MATLAB神经网络30个案例分析》中的第21个例子，案例21 LVQ神经网络的分类——乳腺肿瘤诊断。希望对大家有一定的帮助！(The MATLAB neural network analysis of 30 cases of example, 21 cases of 21 LVQ neural network classification of breast cancer diagnosis. Hope to have certain help to everybody! )