MATLAB(Gauss)

增量PID算法的MATLAB仿真,如果在单片机中使用需要编译和修改，属于简单的仿真程序(Incremental PID algorithm MATLAB simulation, if the use of single-chip microcomputer to compile and modify the need for belonging to a simple simulation program)

matlab2008下实现，序列联配算法，比较两序列的相似性(matlab2008 achieve, sequence alignment algorithms to compare the similarity of two sequences)

《MATLAB程序设计教程》的源代码，非常全面哦！(" MATLAB programming tutorial" source code, very comprehensive Oh!)

Codec G.721 hecho en MATBAL

简单的萤火虫算法，算法收敛性较强，搜索全局最优能力强。(Simple firefly algorithm)

这是从点S到T找寻最短路径的Dijkstra算法(Find shortest path from point S to piont T for positive weight matrix W by Dijkstra method. This is the fastest routine.)

EMD完整版（包括主程序中文解释及hhspectrum错误修正）(EMD full version (including the main Chinese interpretation and hhspectrum bug fixes))

说明：  MUSIC算法 DOA（Direction Of Arrival）波达方向定位技术主要有ARMA谱分析、最大似然法、熵谱分析法和特征分解法，特征分解法主要有MUSIC算法、ESPRIT算法WSF算法等。 MUSIC (Multiple Signal Classification)算法，即多信号分类算法，由Schmidt等人于1979年提出。MUSIC算法是一种基于子空间分解的算法，它利用信号子空间和噪声子空间的正交性，构建空间谱函数，通过谱峰搜索，估计信号的参数。对于声源定位来说，需要估计信号的DOA。MUSIC算法对DOA的估计有很高的分辨率，且对麦克风阵列的形状没有特殊要求，因此应用十分广泛。(DOA (direction of arrival) positioning technology mainly includes spectrum analysis, maximum likelihood method, entropy spectrum analysis method and feature decomposition method. The feature decomposition method mainly includes music algorithm, ESPRIT algorithm, algorithm, etc. Music (multiple signal classification) algorithm, namely multi signal classification algorithm, was proposed by Schmidt In 1979. MUSIC algorithm is an algorithm based on subspace decomposition. It uses the orthogonality of signal subspace and noise subspace to construct spatial spectrum function, and estimates signal parameters through spectrum peak search. For sound source localization, DOA of signal needs to be estimated. MUSIC algorithm has high resolution for DOA estimation, and has no special requirements for the shape of microphone array, so it is widely used.)

这是中国数学建模中编程交流上搜索算法内容，里面提供了很多搜索算法的例子(This is the exchange of mathematical modeling in the programming content on the search algorithm, which provides many examples of search algorithms)

主要用途是对抗多径衰落。由于多径衰落的存在，使得同一个帧由于路径不同，到达用户端的时延有先有后。在相关的频域上的会造成子载波之间的相互干扰，影响 性能。另外，由于有了循环前缀，使得IFFT FFT操作把原来的线性卷积变成循环卷积，大大简化了相应的信号处理复杂度(The main purpose is to fight against multipath fading. Due to the presence of multipath fading, the first after they have the same frame different paths to reach the client delay. Would cause mutual interference between sub-carriers in the frequency domain, affecting performance. In addition, thanks to the cyclic prefix, so IFFT FFT operation to the linear convolution of the original into a circular convolution, greatly simplifying the corresponding signal processing complexity)