Matlab-code

this is a source code about neural networks

Script used in the Japanese webinar for image processing and computer vision held on Mar. 01, 2013

用Matlab编写的铅垂平面内的比例导引方案弹道程序，目标为水平面内的平动物体(Proportional navigation scheme with ballistic programs written in Matlab vertical plane, the target for the level of animal body in a horizontal plane)

说明：  40KHZ局部放电超声信号源模拟仿真，四种衰减形式：单指数、单指数振荡、双指数、双指数衰减震荡(Simulation of 40KHz PD ultrasonic signal source, four attenuation forms: single index, single index oscillation, double index, double index attenuation oscillation)

matlab 3D绘图工具箱 十分实用 安装自己看教程(Matlab 3D graphics toolbox)

Function to generate a voice signal, adding noise, and filtering to recover the original signal.

《空间谱估计理论与算法》中的信源数目估计，Matlab程序源代码(" Space Spectral Estimation Theory and Algorithms" in the estimated number of sources, Matlab source code)

基于matlab平台，通过DCT算法来对视频进行压缩。代码包括视频分解成帧，DCT算法压缩，帧合成视频，以及综合的视频压缩M文件，可以直接仿真。有相应的图片，以及压缩前后的视频，还有原理word报告。(Based on matlab platform, through DCT algorithm to compress the video. Code includes video decomposition framing, DCT compression algorithm, frame composite video, and integrated video compression M files can be directly simulated. Corresponding images, and compressed video before and after, as well as the principle of word report.)

另外一种QUIN插值频率估计算法。matlab代码(QUIN another interpolation algorithm for frequency estimation. matlab code)

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.)