FIR-filters

最优化算法的一些程序以及结构拓扑优化的一些程序，对于初学者来说他们是非常有用的学习资料，希望大家可以从中学习到知识。(topology optimization)

很牛的粒子群算法，里面由三个程序组成，清晰易懂(PSO is cattle, which consists of three program composed, lucid)

系统采用的是直接标定摄像机内部参数的算法，算法借助于标定参照物直接计算摄像机的内参数。整个系统是在VC++环境下设 计并实现的，并借助了IPL和OpenCV的帮助，只要输入标定物的图像，系统就可以迅速而又准确地输出摄像机内参数的结果。通过3D 重构实验证明了该系统的有效性。相对于MATLAB实现方式，该系统使用更加方便、快捷。 (System are directly used in the internal parameters of the camera calibration algorithm, calibration algorithm by means of direct calculation of reference within the parameters of the camera. The entire system is in VC++ environment to design and implementation, and with the help of IPL and OpenCV, as long as the input image calibration objects, the system can be output quickly and accurately the results of camera intrinsic parameters. Through the 3D reconstruction of the experiment proved the effectiveness of the system. MATLAB implementation vis-à-vis the way the system more convenient to use, fast.)

matlab智能控制工具箱的详细说明，模糊，预测，神经网络等(Matlab- Optimisation Toolbox- User´ s Guide)

一个关于Matlab的神经网络识别字符的小程序，挺好玩的(One on Matlab neural network character recognition applet, really fun)

欠定语音盲源分离算法，应用势函数进行聚类处理(Speech underdetermined blind source separation algorithm, applied potential function clustering)

TD-SCDMA中联合检测技术中的Matlab仿真算法，包括DMF算法，ZF-BLE算法，MMSE算法等(Joint detection in TD-SCDMA technology in the Matlab simulation algorithms, including DMF algorithm, ZF-BLE algorithm, MMSE algorithm)

The Matlab NLMS algorithm

将小波相邻系数相关性的降噪思想引入到冗余第2代小波中，提出了基于邻域相关性的冗余第2代小波降噪方法，该方法克服了传统阈值降噪没有考虑小波系数之间相关性的不足。(Aiming at fault feature extraction in the background of strong noise, a wavelet denoising idea by incorporating neighboring coefficients is introduced into redundant second generation wavelet case. A denoising method of redundant second generation wavelet using neighbor dependency is presented. It overcomes the deficiency of traditional thresholding approaches. In this method, an original signal is decomposed by redundant second generation wavelet, and the detail and approximation signals have the same length as the original signal. The detail signals at each scale are then processed by neighbor dependency. Finally, the approximation signal and processed detail signals are reconstructed by inverse transform of redundant second generation wavelet to realize the signal denoising. )

This is the code for Kalman algorithm