pid--adaptive

To estimate the input-output mapping with inputs x ％ and outputs y generated by the following nonlinear, ％ nonstationary state space model: ％ x(t+1) = 0.5x(t) + [25x(t)]/[(1+x(t))^(2)] ％ + 8cos(1.2t) + process noise ％ y(t) = x(t)^(2) / 20 + 6 squareWave(0.05(t-1)) + 3 ％ + time varying measurement noise ％ using a multi-layer perceptron (MLP) and both the EKF and ％ the hybrid importance-samping resampling (SIR) algorithm. (To estimate the input-output mapping with inputs x and outputs y generated by the following nonlinear, nonstationary state space model: x (t+ 1) = 0.5x (t)+ [25x (t )]/[( 1+ x (t)) ^ (2)]+ 8cos (1.2t)+ process noise y (t) = x (t) ^ (2)/20+ 6 squareWave (0.05 (t-1 ))+ 3+ time varying measurement noise using a multi-layer perceptron (MLP) and both the EKF and the hybrid importance-samping resampling (SIR) algorithm.)

说明：  RBF神经网络，用于系统辨识 很好的文件(RBF neural networks for system identification)

,从Matlab调用C/C++代码及C/C++调用m文件两方面,深入地研究了它们之间混合编程的原理和实现机制,并且给出了具体条件下的混合编程方法和步骤。实例表明,提出的Matlab与C/C++混合编程方法是简洁、有效的。 更多还原 (Two aspects, called from Matlab the C/C++ code, C/C++ call m files, in-depth study of the principles and implementation mechanisms of mixed programming between them, and given the mixed programming methods and steps under specific conditions. The examples show that the proposed Matlab and C/C++ hybrid programming method is simple, effective. More Restore)

matlab 下的patton copula 包括bivarnormcdf 、bivartcdfmc等(matlab Patton copula bivarnormcdf, bivartcdfmc)

惯导轨迹仿真，对于初学惯导的人有很大的帮助(INS trajectory simulation, inertial navigation for beginners who have a lot of help)

audio signal processing and recognition,是一本台湾张智星教授所写的关于语音处理的书籍，网上有另一个版本书名叫《audio processing》，和这个有点区别，两个结合看效果会更好！(audio signal processing and recognition, is a book written by Professor Zhang Zhixing Taiwan books on speech processing, there is another version of the online book called "audio processing", and this little difference, the two combined to see better results!)

光学双稳特性曲线 调制作用:It=Ii*T(phi) 反馈作用:phi=phi_0+K*It 得透射率T(phi)与相移phi的反馈关系是 T(phi)=[phi-phi_0]/[K*Ii] 式中phi_0为初始相移 对于多干涉(F-P干涉)有: T(phi)=1/[1+F*(sin(phi/2))^2](Optical bistable characteristic curve modulation role: It = Ii* T (phi) feedback: phi = phi_0+ K* It may transmittance T (phi) and phase-shifting relationship between phi feedback T (phi) = [phi-phi_0 ]/[K* Ii] where phi_0 for the initial phase shift for the multi-interference (FP interference) are: T (phi) = 1/[1+ F* (sin (phi/2)) ^ 2])

说明：  VC和matlab的教程，好用，放心下载，希望对大家有帮助(VC, and matlab tutorial, easy to use, secure download, we want to help)

信号处理的盲源分离算法，用于信号卷积混合盲分离，供大家参考一下。(Blind Source Separation of signal processing algorithms for signal convolution Blind separation, for your reference.)

说明：  MATLAB图像处理源程序3：程序代码说明 P0301：数字图像矩阵数据的显示及其傅立叶变换 P0302：二维离散余弦变换的图像压缩 P0303：采用灰度变换的方法增强图像的对比度 P0304：直方图均匀化 P0305：模拟图像受高斯白噪声和椒盐噪声的影响 P0306：采用二维中值滤波函数medfilt2对受椒盐噪声干扰的图像滤波 P0307：采用MATLAB中的函数filter2对受噪声干扰的图像进行均值滤波 P0308：图像的自适应魏纳滤波 P0309：运用5种不同的梯度增强法进行图像锐化 P0310：图像的高通滤波和掩模处理 P0311：利用巴特沃斯（Butterworth）低通滤波器对受噪声干扰的图像进行平滑处理 P0312：利用巴特沃斯（Butterworth）高通滤波器对图像进行锐化处理(MATLAB image processing source code 3: Procedure Code Description P0301: digital image data matrix display and Fourier Transform P0302: two-dimensional discrete cosine transform image compression P0303: using gray transform method to enhance the contrast of the image P0304: histogram equalization P0305: Simulation images by white Gaussian noise and Impulse noise impact P0306: 2D median filtering of function medfilt2 on the Salt and Pepper noise image filtering P0307: MATLAB functions filter2 mean filtering the noise in the image P0308: Image Adaptive Filter Weiner P0309: use five different gradient Enhancement Act for image sharpening P0310: the image of the high-pass filtering and mask handling P0311: use Butterworth (Butterworth) low-pass filter on the noise in the image smoothed P0312: use Butterworth (Butterworth) high-pass filter for image sharpening)