IEMhh_zheng

该文件是关于采样和量化的一些资料，对于加深采样量化概念的理解具有一定的参考价值。(The document is on the sampling and quantification of some of the information, for better understanding of the concept of sampling to quantify a certain reference value.)

This is a technician handbook for fiber optics

基于PCA的Isodata聚类算法matlab实现(Isodata algorithm based on PCA method)

job shop scheduling for single machine

PID参数的整定就是合理的选择PID三参数。从系统的稳定性、响应速度，超调量和稳态精度等各方面考虑问题，三参数的作用如下：(PID parameter setting is the reasonable choice of three parameters of PID. From the system stability and response speed, overshoot and steady state accuracy and so on various aspects to consider problem, the role of the three parameters are as follows:)

【数学仿真软件】Computational Statistics Handbook with MATLAB的源代码([T]his book is perfectly appropriate as a textbook for an introductory course on computational statistics. It covers many useful topics, which in combination with the well-documented code, make the underlying concepts easy to grasp by the students)

FSK调制解调MATLAB源代码FSK，很不错，值得看看(FSK modulation and demodulation MATLAB source code FSK, very good, worth a look)

以matlab实现数字水印的生成和提取，用的是高斯随机序列生成的易碎的隐式数字水印。(to Matlab digital watermark generation and extraction, using a Gaussian random sequence generation of friable implicit digital watermarking.)

OSCAR is an optical FFT code used to calculate the steady state optical eld circulating in Fabry Perot cavities. The code can integrate non-sperical mirrors and any arbitrary input elds. Recent applications for OSCAR have been: calculation of thermal lensing eect and calculation of diraction loss and cavity eigen modes for mesa beams. One great advantage of OSCAR is the simplicity and exibility of the code, everyone with only minimal knowl- edge of Matlab can easily modied OSCAR code to suit specc purposes.

matlab编写的多示例多标记分类程序，采用miSVM算法，svm做分类器，其中附有各个调用函数，和作为例子的数据和主程序，可以运行，可以多多示例多标记样本进行分类。(matlab prepared multi-instance multi-label classification procedures, using miSVM algorithm, svm do classifier, which function with each call, and as an example of the data and the main program, you can run, you can sample a lot of examples of multi-label classification.)