Digital-GMSK-modulation-to-achieve

说明：  《遥感数字图象分析与编程》一书的课程ppt，附有详细IDL开发及MALTAB开发方法和例子。(&quot Remote sensing digital image analysis and programming,&quot a book of course ppt, with detailed IDL development and MALTAB development methods and examples.)

基于最小二乘支持向量机对传感器的非线性系统用MATLAB软件进行仿真建模程序(Based on least square support vector machine (SVM) of the nonlinear system of sensor with MATLAB simulation modeling software program)

模拟计算迈克尔逊干涉仪产生的强度曲线，及其对波长和夹角的依赖性。(Ring pattern of intensity of the Michelson interferometer)

1.采用遗传算法对男女生样本数据中的身高，体重，喜欢数学，喜欢文学，喜欢运动，喜欢模式识别共6个特征进行特征选择，并基于所得到的最佳特征采用SVM设计男女生分类器，并计算模型预测性能（包含SE,SP,ACC和AUC ）。要求自行编写代码实现遗传算法。(1. using genetic algorithm based on the sample data of male and female students in height, weight, love mathematics, love literature, love sports, love pattern recognition feature selection for a total of 6 characteristics, and based on the best features obtained by SVM design and classifier, and the computing model prediction performance (including SE, SP, ACC and AUC). Self coding is required to implement genetic algorithms.)

有关FFT和低通滤波器的实例，简洁实用，很有针对性，已经运行通过(The FFT and low-pass filter example, simple and practical, very targeted, has been running through the)

说明：  通过矢量积的方式计算6R自由度机器人的雅可比矩阵。通过Matlab的脚本文件，将机器人的DH参数写在脚本开始出，修改此处可以修改机器人参数。(The Jacobi matrix of 6R degree of freedom robot is calculated by vector product. Through the Matlab script file, the robot's DH parameter is written on the script to start out, modify here, you can modify the robot parameters.)

通信与系统仿真原理与无线应用第五章附录例5-11(Communications and System Simulation Principle and wireless applications Chapter V Appendix Example 5-11)

文化量子粒子群算法，不好找的算法啊！便已顺利通过啊(algorithm procedure for cultural QPSO)

2代小波示意程序，此程序用提升法实现第二代小波变换 (two generation wavelet indicate procedures, the procedures used to enhance law to achieve the second generation wavelet transform)

最先进的KPCA主成分提取法，加最先进的高斯SVM法，再加传统的交叉验证学习预测法。(The most advanced KPCA principal components extraction method, and the most advanced gaussian SVM method, then add the traditional cross validation forecast method of learning. )