DespreadFunc

说明：  画圆，第一个是标准圆，后面的是加有高斯噪声的圆(Drawcircle, the first is a standard round, followed by the addition of the circular Gaussian noise)

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)

对单摆的非线性方程用ode45求解，比较和线性化方程的误差(solve simple pendulum，nonlinear equation linearization)

两个噪声信号及噪声信号和含噪声周期信号的互功率谱。 采用多窗口法估计含有周期信号的功率谱。(The two noise signal and noise signal and noise periodic signal containing the cross-power spectrum. Multi-window method is estimated to contain periodic signal power spectrum.)

说明：  压缩包内含有VC++中调用Matlab .m函数编译后的动态链接库和VC++中调用Matlab .m函数编译后的对应c函数(Compressed packets contain VC++ Calling Matlab. M function compiled dynamic link library and VC++ Calling Matlab. M function compiled function corresponds to c)

lorenzx相位图 吸收引子 混沌 chaos(lorenz system phase)

VPI simulation Active Photonics

多发多收的稀疏信道估计的仿真程序，运用LS、OMP与时反算法( Multiple overcharged sparse channel estimation simulation program, using LS, OMP and time-reverse algorithm)

由2个麦克风组成的麦克风阵列，画出它的方向图(Microphone arrays of the two microphones, shown in Fig its direction)

扩频通信，从电磁波利用来看，与一般现有的常规通信方式完全不同。扩频通信利用伪随机编码把信息数据（窄带信号）的频谱进行扩展，形成宽带的低功率谱密度信号发射，使用不同的伪随机序列编码，不同通信用户可在同一频段、同一时间工作，互不影响或干扰极小地进行通信。(Spectrum, from the electromagnetic waves used term, and the general existing conventional means of communication is entirely different. Spread spectrum communication using pseudo-random code to the information data (narrowband signal) to extend the spectrum, the formation of low-power spectral density broadband signal transmission, using different pseudo-random sequence of coding, different communication users at the same frequency band, at the same time work, mutual does not affect or interfere with a very small way to communicate.)