资源列表
MM3
- 对数据中出现的情况分为三类进行匹配，正常，不正常，和未知，对不正常的数据进一步分析- -data on the case are divided into three types matching, normal, abnormal, and unknown, not normal for further analysis of the data -
MUSICDemo
- matlab code for direction finding algorithm of MUSIC
rz
- 单极性RZ码，Rb=2Mb/s，默认k=14和设定Rt=0.5，功率谱密度和时域波形
Hallen
- 海伦方程下的ＭＡＴＬＡＢ仿真细直导线的基本参数数据图
qianfangjiaohui
- 一个摄影测量中的前方交会函数 MATLAB程序
K-mean-clustering
- K-mean方法聚类 实现多幅图像的K均值方法的聚类并显示-K-mean clustering，Efficient method to achieve multiple images of the K-means clustering method and display
AOA
- Matlab code for estimation of Direction of arrival angle
parks
- Park s transformatios
fractal
- 在Matlab环境下运行function [d, RS] = fractal( x )即可。-In the Matlab environment to run function [d, RS] = fractal (x) can be.
frequency
- 内包含频域滤波的步骤及MATLAB代码，是频域增强中所必须知道的哦，还有一个用巴特沃思滤波器效果的例子。-Contains the frequency domain filtering steps and MATLAB code, is enhanced in the frequency domain needs to know Oh, and a Butterworth filter with the effect of example.
KPCA
- 在ORL或Yale标准人脸数据库上完成模式识别任务。用PCA与基于核的PCA（KPCA）方法完成人脸图像的重构与识别试验. -Or Yale in the ORL face database, complete the standard pattern recognition tasks. With the PCA and kernel-based PCA (KPCA) method to complete the reconstruction of face image and reco
channelmodel
- 本程序描述了各种信道的模型，并对每一种信道模型都进行了分析和仿真，并对结果进行了描述-This procedure describes the various channel models, and each channel model are analyzed and simulated, and the results described