SRM-torqueplot

matlab的工具，常用的工具，非常有用的(matlab tools, commonly used tools, very useful)

说明：  运用连续潮流发求解静态电压稳定指标负荷裕度(Made use of a continuous trend of the load of solving the static voltage stability margin index)

大量实验表明,提出的方法对同种传感器或者不同传感器图像之间的配准都是有效的。 提出了一种新的基于角点检测的图像配准方法,其核心思想是采用一种快速的 基于图像灰度的角点检测新算法,通过沿圆弧曲线扫描获取角点信息,然后根据这些 角点信息建立图像间角点的对应关系,并由此得到初配准参数,最后通过迭代过程以 提高配准的精度. 理论分析和实验结果表明,该算法对图像间的旋转角度没有限制, 配准精度高而且计算量较小. (Experiments show that the proposed method on the same kind of sensor or between the different sensor image registration is valid. A new corner detection based image registration method, the core idea is to use a fast gray-based new algorithm for corner detection, scanning through the curve along the arc for corner information, and then based on these corner information to establish image correspondence between the corners, and thus be the beginning of registration parameters, and finally through the iterative process to improve the accuracy of registration. Theoretical analysis and experimental results show that the algorithm is rotation between the image does not limit , registration accuracy and less computation.)

有限差分的函数，对于初次接触的同学来说可能会由帮助吧(finite-different matlab )

简易的matlab截图代码，可以打开bmp图片并截图保存为bmp格式，可以输出有图片信息矩阵的txt文档。(Easy shots matlab code, you can open pictures and screenshots saved as bmp bmp format, you can output a picture information matrix txt documents.)

基于V-BLAST 的MMSE 信道估计算法 MIMO(The MMSE channel estimation algorithm based on V- BLAST MIMO )

802.16 physical layer simulation through diferent SUI Channel.

LPC voice compression and decompression example

单载波频域均衡中，信道是一个很关键的问题，信道估计的好坏也直接影响系统的性能，确定一个好的信道估计序列是至关重要的，chu 序列是一种很好的估计序列(Single-carrier frequency domain equalization, the channel is a very critical issue, good or bad channel estimation is also directly affect the performance of the system to determine a good channel estimation sequence is critical, chu sequence is a good estimate of the sequence)

说明：  马氏距离函数，输入两个序列号计算马氏距离(Mahalanobis distance function, input two serial numbers to calculate Mahalanobis distance)