3_PRR_Parallel_Manipulator_Analysis_GUI

Gabor Filter Construction

实现数值分析中单纯形法改进方法的matlab代码，即改进单纯形法算法，能够实现大型稀疏矩阵的迭代，这是3/3..(Numerical analysis to achieve improved method simplex method matlab code that modified simplex method algorithm, to achieve large sparse matrix iteration, which is 3/3 ..)

针对阵列波束形成问题，研究干燥比对输出信噪比的影响。(For array beamforming problem, the code simulates the effect of the INR on the SNR. )

基于“当前”统计模型和Singer模型的机动目标跟踪的matlab程序(Matlab program for maneuvering target tracking based on "current" statistical model and Singer model)

姜启源、谢金星、数学建模案例选集，提供丰富的数学建模案例，主要编程语言为matlab和C语言。(Jiang Qiyuan, Xie JX, case selection of mathematical modeling, mathematical modeling provides a rich case, the main programming language for matlab and C language.)

Ant System algorithm solving classical Traveling Salesman Problems

二维云模型，matlab脚本编写，点开即可运行，效果很好(Two dimensional cloud model, matlab scripting, click open can run, the effect is very good)

阵列信号处理中的后向平滑！ 属于原创啊。。。。。。。。。。。。。。。(array signal processing: Backward Spatial Smoothing)

IT IS ABOUT THE TRACKING OF VEHICLE TRACKING SYSTEM.

：压缩感知是近年来应用数学界提出的一套关于稀疏信号采集和重构的新理论，它突破了传统奈奎斯特采样定理 的限制，以远少于传统奈奎斯特采样定理所需的测量数据就能够精确恢复原信号或估计信号的相关参数。将压缩感知理论应 用到DOA估计，可以解决传统DOA估计中高采样率、以及较多辐射源信号条件下难以定位的限制。研究了基于压缩感知理 论的DOA估计方法，并利用MATLAB进行仿真，通过与传统MUSIC算法比较可知，基于压缩感知的DOA估计方法具有显著 的优势(The theory of Compressive Sensing(CS)is the application of mathematics in the field of a sparse signal acquisition and reconstruction of the new theory. It breaks through the traditional limitation of Nyquist sampling theorem. It can recover certain signals or estimate their parameters far fewer samples or measurements than traditional methods. The application of compressed sensing theory to DOA estimation can solve the traditional DOA estimation in high sampling rate, as well as more of the radiation source signal conditions is difficult to position limits. This paper studies the theory of DOA estimation method based on compressed sensing theory, and simulation uses MATLAB, compared with the traditional MUSIC algorithms, DOA estimation based on compressed sensing theory method has the obvious advantage)