radar_system_simulation

本文用于仿真自适应均衡器,信道冲激响应有三个(This paper used for simulation adaptive equalizer)

八种典型雷达辐射源信号仿真，包括不同参数的信号仿真，可用于信号分选等的雷达信号分析(eight typical radar emitter signals simulation,including the signals with different parameter. this signal can be used for signal deinterleaving)

Applied Numerical Methods Using MATLAB -

独立成分分析ICA利用MATLAB实现。可以运行，简单易懂，方便学习(Independent component analysis ICA using MATLAB implementation. You can run, easy to understand, easy to learn)

利用Djikstra算法计算最短路，输入的参数为一个矩阵，可以是无向图或者有向图(calculate the shortest distance)

matlab源码 船舶自适应部分 可以参考(matlab source code can refer to parts of the ship adaptive)

Another way to do a stft but with fft from matlab

基于奇异值分解的人脸识别方法 梁毅雄 龚卫国 潘英俊 李伟红 刘嘉敏 张红梅 提出了一种将傅里叶变换和奇异值分解相结合的人脸自动识别方法.首先对人脸图像进行傅里叶变换,得到其具有位移不变特性的振幅谱表征.其次,从所有训练图像样本的振幅谱表征中给定标准脸并对其进行奇异值分解,求出标准特征矩阵,再将人脸的振幅谱表征投影到标准特征矩阵后得到的投影系数作为该人脸的模式特征.然后,对经典的最近邻分类器算法进行了改进,并采用模式特征之间的欧式距离作为相似性度量,从而完成对未知人脸的识别.采用ORL (Olivetti Research Laboratory)人脸库对本文提出的人脸识别方法进行验证,获得了100.00 的识别率.实验结果表明,本方法优于现有的基于奇异值分解的人脸识别方法,且对表情、姿态变换等具有一定的鲁棒性. (Face recognition based on singular value decomposition method Deliberate simultaneously Gong Weiguo Li Wei Hung Stephen Lau, Hong-Mei Zhang Ying-Jun Pan Paper, a Fourier transform and singular value decomposition of the combination of automatic face recognition. First of all, the face image by Fourier transformation, it has the same characteristics of the displacement amplitude spectra. Secondly, all training The amplitude spectrum of the sample images given in standard face representation and its singular value decomposition, find the standard characteristic matrix, then the amplitude of spectral characterization of human faces projected onto the standard characteristic matrix of projection coefficients obtained as the face of the model features . Then, the classical nearest neighbor classifier is improved, and the use of Euclidean distance between pattern features as the similarity measure, thus completing the identification of unknown human faces. using ORL (Olivetti Research La)

基于小波分析和支持向量机的语音激活检测 一种方法(Based on wavelet analysis and support vector machine voice activity detection)

未来无线通信的核心技术LTE的主函数实现(Core technology of the future LTE wireless communications to achieve the main function)