CRANK_NICHOLSON

用matlab对于FCM代码实现，不同于matlab中库函数(Used matlab code for FCM realize, unlike in matlab library function)

原始信号和噪音都是正弦信号的的RLS滤波(The original signal and noise are sinusoidal signals of the RLS filter)

HYMAP Generates abundance fractions with Dirichlet statistics distributions

升余弦滚降滤波器，主要完成 Generate coefficients of Nyquist filter(Raised Cosine filter, mainly to complete Generate coefficients of Nyquist filter)

简单实用的matlab源码，描述了Q学习的过程，实现了探索和最优化.适用于初学者(Simple and practical matlab source, describing the Q learning process, to achieve the exploration and optimization suitable for beginners)

设有一个随机信号 服从AR(4)过程，它是一宽带过程，参数如下： 我们通过观测方程 来测量该信号， 是方差为1的高斯白噪声，用LMS算法和RLS算法通过观测方程来估计原信号。并用Matlab对此问题进行仿真。 (There is a random signal obedience AR (4) process, which is a broadband process parameters are as follows: We are measured by observing the signal equation is a Gaussian white noise variance, with the LMS algorithm and RLS algorithm to estimate the observation equation the original signal. This issue with Matlab simulation.)

对信号进行频谱分析及滤波，包括主成分分析、因子分析、贝叶斯分析，计算加权加速度,应用小区域方差对比，程序简单，用于时频分析算法。( The signal spectral analysis and filtering, Including principal component analysis, factor analysis, Bayesian analysis, Weighted acceleration, Application of small area variance comparison, simple procedures, For time-frequency analysis algorithm.)

说明：  波达方向（DOA） 估计的基本问题就是确定同时处在空间某一区 域多个感兴趣的信号的空间位置(即多个信号到达阵列参考阵元的方 向角)。最早的也是最经典的超分辨率(DOA)估计算法是著名的多信号 分类（Multiple Signal Classification） 法,简称 MUSIC 算法,它是 一类经典的基于特征结构分析的空间谱估计方法。该算法利用了信号 子空间和噪声子空间的正交性,构造空间谱函数,通过谱峰搜索,检测 信号的 DOA。(The basic problem of DOA estimation is to determine the simultaneous location in a certain region of space. Spatial position of multiple interested signals in the domain (i.e. the direction of multiple signals reaching the array reference elements) Directional angle). The earliest and most classical super-resolution (DOA) estimation algorithm is the well-known multi-signal.Multiple Signal Classification, referred to as MUSIC algorithm, is A classical spatial spectrum estimation method based on eigenstructure analysis. The algorithm utilizes signals. The orthogonality of subspace and noise subspace, the construction of spatial spectral function, through peak search, detection DOA of signal.)

The code is useful for solving partial differential equations such as the advection equation, the 2 dimensional heat equation. Also contains code to simulate two falling balls align in one axis with rebound. Also has some code for implementing the Successive over-relaxation method.

the ofdm simulink file