sampling-and-reconstruction-code_matlab

一本关于用Matlab编写的优化算法的书籍(Apllied optimization with Matlab )

选择13级移位寄存器的初始数据，用移位加反馈的方法生成级数为3~13的m序列(The selection of the initial data of 13 level shift register, series is generated by shift plus feedback method for 3 ~ 13 m sequence )

这是一个人工智能方面的知识，利用粒子群的知识解决最优路径问题(This is a knowledge of artificial intelligence, the use of particle swarm knowledge to solve the optimal path problem)

对MIMO中的瑞可接收机进行仿真，绝对可以运行的 (On the MIMO receiver in Sweden can be simulated)

说明：  名称:work111 大小: 9KB 完成时间:Wed Aug 17 16:30:23 2005 基于SIMULINK的模糊控制系统仿真程序 (name : work111 Size : File completion : Mon Aug 17 16:30:23 2005 Simulation of Fuzzy Control System Simulation Program)

可用来预测股票走势的matlab程序，先要输入数据（可更换），再进行预测，属于径向基神经网络的编码。(Used to predict the stock trend matlab program, need to input data (replaceable), and then to predict, belonging to the encoding of radial basis function neural network.)

RBF（径向基神经网络）网络是一种重要的神经网络，RBF网络的训练分为两步，第一步是通过聚类算法得到初始的权值，第二步是根据训练数据训练网络的权值(RBF (radial basis function neural network) network is an important neural network, RBF network training is divided into two steps, first step is to get through the initial clustering algorithm weight, the second step is the training of the network based on training data weight)

用matlab分析处理了一段语音信号，实现了语音合成(Using matlab speech signal analysis and processing for a while to achieve a speech synthesis)

我写的这个是对弹道飞行轨迹的优化过程，大家一起学习交流.( 请键入文字或网站地址，或者上传文档。 取消 Wǒ xiě de zhège shì duì dàndào fēixíng guǐjī de yōuhuà guòchéng, dàjiā yì qǐ xuéxí jiāoliú.I wrote this is a ballistic trajectory optimization process, with everyone learning exchanges)

Wigner-Ville 分布(简称 WVD)是典型的二次型变换，它定义为信号瞬时相关函数的傅立 叶变换。 由于在计算中不加窗操作，它避免了时域分辨率和频域分辨率之间的相互牵制。 已证明，对于单分量线性调频信号，WVD 的时频表示能量集中性最优。但也正因为不涉 及窗函数，在分析多分量信号时 WVD 会受到交叉项的干扰。(The Wigner-Ville distribution (WVD) is a typical quadratic transformation, which is defined as the Fourier of the instantaneous correlation function of a signal. Ye Bianhuan. Because of no window operation in the calculation, it avoids the mutual restraint between time domain resolution and frequency domain resolution. It has been proved that for the single component LFM signal, the WVD time frequency representation has the best energy concentration. But it is also because it does not involve. And window functions, when WVD is used to analyze multi-component signals, it will be interfered by cross terms.)