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3D Space Coordinate Transformations

这里实现了基于四种SVM工具箱的分类与回归算法: 1、工具箱：LS_SVMlab Classification_LS_SVMlab.m - 多类分类 Regression_LS_SVMlab.m - 函数拟合 2、工具箱：OSU_SVM3.00 Classification_OSU_SVM.m - 多类分类 3、工具箱：stprtoolsvm Classification_stprtool.m - 多类分类 4、工具箱：SVM_SteveGunn Classification_SVM_SteveGunn.m - 二类分类 Regression_SVM_SteveGunn.m - 函数拟合 更详细的相关函数说明请通过help命令查看！(Here the realization of the four SVM toolbox based on the classification and regression algorithm: 1, Toolbox: LS_SVMlabClassification_LS_SVMlab.m- Multiclass Classification Regression_LS_SVMlab.m- function fitting 2, the toolbox: OSU_SVM3.00Classification_OSU_SVM.m- Multiclass Classification 3, Toolbox: stprtoolsvmClassification_stprtool.m- Multiclass Classification 4 toolbox: SVM_SteveGunnClassification_SVM_SteveGunn.m- II Category Regression_SVM_SteveGunn.m- function fitting a more detailed explanation of the correlation function through the help command to view!)

利用matlab产生线性调频信号，主要用于雷达信号的产生。(matlab create Radar signal waveform)

彩色图像转灰度图像的三种算法，matlab实现(Color image to grayscale image of the three algorithms, matlab implementation)

说明：  已知三个信号 ，经调制产生信号 ，其中 为常数， 为具有窄带特性的Hanning信号。将此已调信号通过信道传输，描述该信道的差分方程为 得到接收信号 1）分析Hanning信号 的时域与频域特性 2）分析已调信号 的时域与频域特性 3）分析系统的单位脉冲响应 4）分析接收信号 的频谱 (Three known signal, the modulated signal is generated, which is a constant for the Hanning signal having a narrowband characteristics. This modulated signal channels transmitted through the differential equation of the channel 2) units of analysis of the modulated signal and frequency domain characteristics 3) analysis system is described for obtaining a reception signal 1) Analysis of time domain and frequency domain characteristics Hanning signal 4 impulse response) spectral analysis of the received signal)

奇异值分解降噪技术，对各种信号进行处理，使用先进的MATLAB程序进行分解处理，达到理想的效果(SVD noise reduction on various signal processing, the use of advanced decomposition MATLAB processing procedures to achieve the desired results)

In an image edge is more important to interpolate the missing pixel values. In similarity algorithm edge is detected using the unified high frequency map. Based on this the missing green pixels are interpolated by taking the average of surrounding values. Then the missing red and blue values are interpolated similarly.

《精通Matlab最优化计算》的随书代码(Proficient in Matlab optimization)

基于信号匹配原理的三阵元信号方位估计的方法(Based on the principle of signal matched the three array element signal DOA estimation methods)

matlab函数 k的阶乘 factrial(Matlab function k factorial factrial)