jisuan_n

经典书籍MIMO Signals And Systems的源代码(Classic books MIMO Signals And Systems source code)

这篇文章是通过改进的RD算法对大斜视角SAR进行仿真，通过仿真验证这种改进的算法是可行的。对研究雷达的人有帮助！(This article is simulation for large squint SAR by improving the RD algorithm.The result is demonstrated the improved algorithm is feasible。 It is useful for the poople that study the radar。)

这篇文章是盲信号处理，因为是英文文章，所以大家看内容就好了。(Principal component analysis (PCA) is a mainstay of modern data analysis- a black box that is widely used but poorly understood. The goal of this paper is to dispel the magic behind this black box. This tutorial focuses on building a solid intuition for how and why principal component analysis works furthermore, it crystallizes this knowledge by deriving from simple intuitions, the mathematics behind PCA . This tutorial does not shy away from explaining the ideas informally, nor does it shy away from the mathematics. The hope is that by addressing both aspects, readers of all levels will be able to gain a better understanding of PCA as well as the when, the how and the why of applying this technique.)

tsp using genetic agorithm

这是之前上传的Extract_test_IMFCC程序里面调用的子函数，作配合使用，请看清楚再下载.(This is one subfunction of Extract_test_IMFCC uploaded before.Since pudn.com cannot upload several functions, they must divided.)

20圆环阵的波束方向图，包括xy面和xz面的方向图。(Twenty circular array beam pattern, including the direction and the xy plane xz plane.)

matlab中结合小波和偏度对故障信号的处理(matlab combination of wavelet and skewness of the fault signal processing)

MATLAB与外部程序接口的设计与应用，内容比较前面(MATLAB and external program interface design and application, compare the contents of the front)

sar图像去噪的几种新的方法，通过反复训练模板能有较高的识别率，快速扩展随机生成树算法。( Several new methods sar image denoising, Through repeated training XyjPRvRlate have higher recognition rate, Rapid expansion of random spanning tree algorithm.)

在MATLAB实现的用C实现的KNN算法，输入训练数据文件，和test文件，进行预测分类，并且可以与真实情况比较测试预测正确百分比(Implemented in MATLAB KNN algorithm implemented in C, the input training data file, and test files, to predict the classification and testing with the real situation is more correct percentage of predicted)