MATLAB

时域卡尔曼滤波器,自己谨慎编写,学习滤波器必备!(Time-domain Kalman filter, careful preparation of their own, learning the necessary filter!)

说明：  在Bialas與Karwan的第 解演算法 [13] 則是搜尋限制式解域中的端點，並且歸類為已搜尋端點集合、未搜尋端點集合、可行解端點集合、非可行解端點集合，再從可行解端點集合中找出使高階目標值最佳的端點。(Bialas and Karwan in the first solution algorithm [13] is the search for solutions in the domain of endpoint constraints, and the endpoints are classified as a collection of search, not search a collection of endpoints, the endpoint set of feasible solutions, non-feasible solution side point set, then the endpoint from the set of feasible solutions in order to identify the best target endpoint.)

空间谱估计之mnm算法 此算法是music算法的改进算法(Spatial spectrum estimation of the mnm algorithm This algorithm is the music algorithm improved algorithm)

粒子图像分割及匹配均为自行编制的子例程，三相光伏逆变并网的仿真，包含了阵列信号处理的常见算法，分析了该信号的时域、频域、倒谱，循环谱等,在matlab R2009b调试通过，Matlab实现界面友好，基于互功率谱的时延估计。( Particle image segmentation and matching subroutines themselves are prepared, Three-phase photovoltaic inverter and network simulation, Contains a common array signal processing algorithm, Analysis of the signal time domain, frequency domain, cepstrum, cyclic spectrum, etc. In matlab R2009b debugging through, Matlab to achieve user-friendly, Based on the time delay estimation of power spectrum.)

ICA Application for important work & Processing This is Used In Data Reduction and Reduce column features.

说明：  这是个关于软件方程的运行代码，很简单，有需要的朋友可以下载看下，对你或许有帮助。(This is the operation code of the software equation is very simple, a friend in need can be downloaded to look, you may have to help.)

计算经验直方图的matlab程序 包括程序注释和样本测试结果(Computing experience histogram matlab procedures, including program notes and sample test results)

在MATLAB 中操作和生成TXT 和XLS文件，写的很详细，有参考和学习价值(To operate and generate in MATLAB TXT and XLS files, written in great detail, with reference to and learning the value of)

针对频率周期振荡的振动系统讨论自适应控制问题,在频率跟踪的基础上对频率变化的振动响应进行控 制,给出相应的估计、滤波与控制方法。首先在子空间辨识原理的基础上,通过测量信号自相关序列的递推运算获得信号 频率 然后根据估计频率实时调整带通滤波器的中心频率,使其跟踪信号频率,实现信号分量的跟踪滤波 最后在LMS方 法的基础上构造对信号分量进行控制的自适应控制器。(The adaptive vibration control of systems excited by forces of periodically varying frequencieswas dis- cussed. The presented adaptive controlwas realized on the basis of tracking of time-varying frequencies and amethod for online frequency estimation, filtering and controlwas proposed. Based on the principle of subspace identification, the time-varying frequencieswere estimated from the recursively computed autocorrelation ofmeasured signals. )

DWT COde using folding coefficient.............