matlab

广义旁瓣相消器，阻塞矩阵B2，一个期望信号，一个干扰，高斯白噪声(the simulation of GSC(B2))

标准压缩感知（CS）理论决定了可靠的信号恢复是可能给M= O（KLOG（N / K））的测量。我们证明了它可以通过利用超越简单的稀疏性和可压缩性由包括价值观和信号系数的位置之间的依赖关系更加逼真信号模型大大降低Mwithout牺牲的鲁棒性。(The standard compressive sensing (CS) theory dictates that robust signal recovery is  possible from  M=O(Klog(N/K))  measurements. We demonstrate that it is possible to substantially  decrease  Mwithout sacrificing robustness by leveraging more  realistic signal models that go beyond simple sparsity and  compressibility by including dependencies between values and  locations of the signal coefficients.   )

Kohonen neural Network

说明：  永磁直线电机的电流滞环控制，直线电机的模型是用simulink自己搭建的。(Permanent magnet linear motor hysteresis current control)

说明：  REOF Varimax 旋转的EOF正交分解Matlab程序(EOF analysis rotated by VARIMAX--> REOF method)

智能天线设计资料，请多多指教，是关于TDSCDMA系统的，希望对您有帮助！(smart antenna)

1.MATLAB中的画圆程序：circle.m。 2.MATLAB中的GPS单点定位函数：pos_fix.m。 3.MATLAB中的读取RINEX格式的导航电文文件程序：readnavfile.m。 4.MATLAB中的读取YUMA格式历书的函数：ReadAlmanac.m。 5.MATLAB中的生成一节高斯马尔科夫序列：gmp1.m(1.MATLAB circle in the program: circle.m. 2.MATLAB single point in the GPS positioning function: pos_fix.m. 3.MATLAB in reading RINEX navigation message file format of the program: readnavfile.m. 4.MATLAB read YUMA format in the calendar function: ReadAlmanac.m. 5.MATLAB in the sequence generated a high 斯马尔科夫: gmp1.m)

Routine for working with shp files

可实现对二维数据的聚类，多机电力系统仿真及其潮流计算，关于非线性离散系统辨识。( Can realize the two-dimensional data clustering, Multi-machine power system simulation and flow calculation, Nonlinear discrete system identification.)

This example application shows you how to use Real-Time Workshop Embedded Coder to target a dual core Blackfin microprocessor. The complete build is managed by a template makefile and control over the memory regions is provided by custom storage classes. The example imposes a top level architecture on the model to define the split of model code between the two cores. This document describes a complete run-through of the model from Simulink simulation to code simulation using VisualDSP. I think it will take about 1 hour to go through the example once you have VisualDSP installed.