Journal_bearing_varying_LD_ratio

精通MATLAB 是北航的张志用写的电子书 介绍了MATLAB6.5的使用 (Proficient in MATLAB was written by Zhang Beihang' s book describes the use of MATLAB6.5)

一个史上最全的讲解粒子滤波的权威资料，含有各种粒子滤波的MATLAB代码，PPT,ＩＥＥＥ的权威论文，不可多得的宝贝(A brief history of the most complete authoritative information on particle filter, particle filter contains a variety of MATLAB code, PPT, IEEE authoritative papers, rare treasures)

说明：  我ANN的大作业，里面有三个程序，里面有测试训练数据主要关于MLP(ANN big operation, there are three procedures, and they test data on the training MLP)

LMS最小均方自适应滤波算法仿真，绝对可靠(LMS least mean square adaptive filter algorithm simulation, absolutely reliable)

何凯明的《Single Image Haze Removal Using Dark Channel Prior》论文中的代码，基于暗原色先验的图像去雾算法，对户外图像去雾有很好的效果(this code is of the paper"Single Image Haze Removal Using Dark Channel Prior",the function is removing haze based on Dark Channel Prior algorithm , having a good effect on outdoor images.)

bayes分类，matlab实现。可以实现数字的识别(matlab guiyi)

小波变换在语音和生物医学信号处理中的应用 431 17.1 小波变换在语音信号处理中的应用 431 17.1.1 小波变换在语音增强中的应用 431 17.1.2 小波变换在语音压缩中的应用 433 17.2 小波变换在生物医学信号处理中的应用 435 17.2.1 基于小波变换的ECG信号压缩 435 17.2.2 基于小波变换的EEG信号多分辨率分析 437(wavelet transform voice, and biomedical signal processing of 431 in 17.1 wavelet transform voice signal Treatment of 431 17.1.1 wavelet transform in the speech enhancement of 431 17.1.2 wavelet change for the speech compression of 433 17.2 wavelet transform in biomedical signal processing applications 435 17. 2.1 Based on wavelet transform 435 ECG signal compression based on wavelet transform 17.2.2 EEG signal more hours Analysis of 437 identified)

介绍了几个认知无线电的宽带频谱检测实现的MATLAB代码，包括能量检测算法、匹配滤波器方法等。(Introduces several MATLAB code based broadband spectrum of cognitive radio technology, including energy detection algorithm, matched filter method, etc.)

Independent Component Analysis for 2 media files, matlab code

该系统使用极其简便，即使 你对各种网络模型不是很深刻的了解，也可以很好的使用该系统。使用时， 你可以自己修改网络的各种参数，交互性较好，而且该系统通过大量的图示 及参数设置，可以让你了解每个应用实例实现的过程及详细步骤。(The system is extremely easy to use, even if you have to various network model is not very profound understanding can be a good use of the system. When used, you can change the network's own parameters, interactive better, but the system through a lot of icon and parameter settings, so you can understand each application process and the realization of detailed steps.)