group-velocity-and-phase-velocity

matlab粗糙集课件,共六讲，讲解matlab下如何使用rough sets(matlab rough set courseware, a total of six speakers to explain how to use rough sets under matlab)

用matlab实现飞机的模拟飞行并有简单的控制操作(Matlab simulation with the flight of aircraft)

this file contains the matlab source code for distinguishable colours. i love you

一种自适应滤波算法，适应滤波、去噪的一个小程序(An adaptive filtering algorithm )

Viterbi 编解码算法仿真实现，回环调试成功！(Viterbi coder and decoder matlab code)

代码里有很完整的注释和解释，包含了阵列信号处理的常见算法，包括调制，解调，信噪比计算，快速扩展随机生成树算法，包含特征值与特征向量的提取、训练样本以及最后的识别。(Code, there are very complete notes and explanations Contains a common array signal processing algorithm, Includes the modulation, demodulation, signal to noise ratio calculation, Rapid expansion of random spanning tree algorithm, Contains the eigenvalue and eigenvector extraction, the training sample, and the final recognition.)

关于距离的求解，涉及到很多方面，内容全。(About distance solution, involves many aspects, the content is complete.)

正交匹配追踪(OMP)在稀疏分解与压缩感知重构，稀疏分解先于压缩感知提出，信号稀疏表示的目的就是在给定的超完备字典中用尽可能少的原子来表示信号，可以获得信号更为简洁的表示方式，从而使我们更容易地获取信号中所蕴含的信息，更方便进一步对信号进行加工处理，如压缩、编码等。(Orthogonal Matching Pursuit (OMP) is used in sparse decomposition and compressive sensing reconstruction. Sparse decomposition is proposed prior to compressed sensing. The purpose of signal sparse representation is to represent the signal with as few atoms as possible in a given overcomplete dictionary. The more concise representation of the signal allows us to more easily obtain the information contained in the signal, making it easier to further process the signal, such as compression and coding.)

说明：  径向基函数神经网络的优点：逼近能力，分类能力和学习速度等方面都优于BP神经网络，结构简单、训练简洁、学习收敛速度快、能够逼近任意非线性函数，克服局部极小值问题。原因在于其参数初始化具有一定的方法，并非随机初始化。代码为RBF的matlab程序，可以使用但是需要自己配置数据。(Radial Basis Function Neural Network (RBF-NN) has the advantages of better approximation ability, classification ability and learning speed than BP Neural Network (BP Neural Network). It has simple structure, simple training, fast learning convergence, and can approximate any non-linear function to overcome the local minimum problem. The reason is that its parameter initialization has a certain method, not random initialization.)

ESMSystem of signal sorting problem