mpfc

用matlab的GUIDE编写的GUI界面，可以实现简易的电子琴功能。并可以实现自动播放自定义的文件乐谱。(Written by matlab' s GUIDE GUI interface, you can achieve simple keyboard functions. And can automatically play custom music files.)

机器人视觉模拟的源程序，可以引申为雷达扫描的程序(robot visual simulation of the source, can be likened to a radar scan procedure)

说明：  高级数字信号处理AR模型信号处理 MATLAB 例程(the information process of model AR)

数据关联算法－PDA算法，能有效的跟踪目标-(Data association algorithm-PDA algorithm can effectively track the target-)

training vector quantization LGB

Matlab implements wishart algorithm to process polarimetric SAR images.

说明：  matlab实现：①递推增广最小二乘参数估计（RELS）②确定性系统的递推梯度校正参数估计（RGC）③递推最小二乘参数估计（RLS）④递推极大似然参数估计（RML）⑤递推随机牛顿参数估计（RSNA）(Matlab: (1) augmented recursive least square parameters estimation (RELS) (2) of a deterministic system recursive gradient correction parameter estimation (RGC) (3) recursive least squares (RLS) (4) parameter estimation, the recursive maximum likelihood parameter estimation (RML) (5) recursive random Newton parameter estimation (RSNA) )

学习基于状态空间的模型预测控制强烈推荐的一本书(Model Predictive Control for State Models W.H. Kwon and S. Han)

自适应滤波算法是自适应滤波器实现过程中较为重要的环节,数字信号处理器的出现为数字信号处理算法的 实现和大规模数据的实时处理提供了可能。通过对自适应最小均方算法(LMS) 及其各种改进算法的Matlab 仿真,进行分 析及归纳比较,得出结论,并在此基础上,提出算法的优化方案,以DSP 为平台,用汇编语言对自适应算法进行了描述,最终 以DSP 为平台完成了自适应滤波器的设计。(Adaptive filtering algorithm is an adaptive filter process is more important part of the emergence of digital signal processor for digital signal processing algorithm implementation and large-scale real-time data processing possible. The adaptive least mean square (LMS) algorithm and its various improved Matlab simulation, we analyze the comparison, draw conclusions, and on this basis, the proposed algorithm optimization program to DSP platform, with the assembly Language of the adaptive algorithm is described, the final completion of DSP-platform for adaptive filter design.)

关于PCA算法的调用程序，傻瓜式操作，直接运行，附带样本数据文档，很好的帮助初学者。 一看就懂！可以任意更改样本！(Calls on the PCA algorithm procedure, Fool operation, direct running, with sample data files, a good help for beginners. Understand at a glance! Samples can be changed!)