LPPL_MATLAB

网页恶意代码大总结(共15项) 以下代码仅供学习研究使用，请勿使用害人，造成损失本人概不负责，谢谢合作！ -website grand summary of malicious code (a total of 15), the following code only to study the use, please do not use harmful, I caused the loss is not responsible for, Thank you for your cooperation!

基于多基站的无源定位中的FDOA方法的定位精度GDOP分析(FDOA GDOP)

说明：  power point of java language

主要用opencv写的hog特征，利用opencv自带的svm训练，去寻找图像中行人的数目，并用矩形表示出来(Mainly use the hog feature written by opencv, and use the SVM training provided by opencv to find the number of pedestrians in the image and represent it by rectangle)

变分自编码结构，用一个mnist数据。。。。。。(Using TensorFlow to realize Variational Auto-Encoder neural network, using data MNIST)

delphi mqtt通讯。没有用到第三方的控件。可以在delphi7编译通过。(Delphi mqtt communication. No third-party controls are used. It can be compiled and passed in Delphi 7.)

无限制版，极影工作室的看家产品之一，交易两个货币兑进行对冲。经过实际测试，EURUSD和GBPUSD的盈利效果最好，AUDUSD和NZDUSD不是很好。按理说这两组关联都不错才对，可能是测试期间行情所致，因为无法回测双币以上ea，实盘模拟测试。(One of the Housekeeping Products of Polarshadow Studio is trading two currencies to hedge against each other. After actual testing, EURUSD and GBPUSD have the best profitability, while AUDUSD and NZDUSD are not very good. It is reasonable to say that the correlation between the two groups is good, which may be due to the market during the test period, because it is impossible to retest the EA above two coins, a real-time simulation test.)

系统辨识与matlab 仿真程序 可直接在MATLAB6.I下运行的MATLAB程序的编号和书本上的内容对应如下，每个程序题目括号内的file.m是对应书本上的内容在光盘上第一部分的程序编号。-system identification and Matlab simulation program can be directly under the MATLAB6.I running MATL AB procedures and the number of books on the correspondence follows, Every procedure topic within the brackets is file.m counterparts on the contents of books in the first part of the CD No. procedures.

VMM(Verification Methodology Manual) Kit (Ver1.1C) for Mentor s Questa and Incisive Software

说明：  对语音信号进行时频分析，分别采用短时傅里叶变换、gabor变换、Wigner-Ville分布、小波变换进行时频分析 内含matlab时频分析工具包(Time-frequency analysis of speech signal is carried out by using short-time Fourier transform, Gabor transform, Wigner Ville distribution and wavelet transform Matlab time-frequency analysis kit is included)