psnrsourcedoidandapp

基带ＯＦＤＭ系统的Ｍ文件，对初学者有很大的参考价值(the code of the article was based on ＯＦＤｍ， have a very high reference value.)

正交频分复用程序解析，小菜多日收集，虽然未必精辟但说不定有你想要的 (Orthogonal frequency division multiplexing analytical procedures, side dishes, multi-day collection, although not brilliant but maybe you want to have the)

一片很不错的基于matlab的车牌识别的论文，对于些论文的人有很大的帮助(A very good license plate recognition matlab-based paper, paper for some very helpful people)

内有关于监护仪的相关设计，仅供参考，不太完善请见谅(There on the monitor related design, for reference only, not perfect, please forgive me)

matlab实现功率谱密度分析psd及详细解说(Matlab PSD power spectral density analysis and detailed explanation )

说明：  目标检测matlab例程，亲测可运行，含ppt解释。(Matlab routine for target detection, which can be run by hand test, including ppt interpretation.)

Convolution taking algorithm written in matlab. It is basic and so simple. Can be understood by everybody.

基于SVR的非线性系统的辨识和校验，辨识信号为幅值为2的随机信号(Nonlinear systems based on SVR identification and validation, identification signal is a random signal amplitude of 2)

非稳态二维热传导有限差分法matlab的代码(The unsteady two-dimensional heat conduction finite difference method matlab code)

The Support Ve ct or Machi ne So fa r we have used a reference as sumpt ion tha t there exists a linear classifier that has a larg e ge ometric margin, i.e., whose decision b oundar y is we ll separa ted from all the training images (e xamples). Such a larg e margin classifier seems like one we would like to use. C an’t we find it more directly? Yes, we can. The clas sifier is known as the Support Ve ctor M achine or SVM for short.