BS01_0473_480

MATLAB7_0基础教程_清华大学 希望需要的朋友自己看看哦 matlab是我们重要的工具~！(_ Tsinghua University tutorial basic MATLAB7_0 hope to see their own friends required Oh matlab are important tools for us ~!)

基于卷积信号的MIMO系统盲信号估计，运用卷积的方法进行盲信道估计(Convolution-based MIMO system, blind signal signal is estimated using the method of convolution-blind channel estimation)

CMI和AMI编解码过程,并且写成GUI,编译环境是matlab2014b.(CMI and AMI encoding and decoding process, and write GUI, build environment is matlab2014b.)

说明：  基于MATLAB的Filter使用，低通、带通和高通滤波器的仿真。包括filter、ftt等函数的使用(Matlab based filter use, low-pass, band-pass and high pass filter simulation. Including the use of filter, FTT and other functions)

PSCAD中设计的APF有源滤波器的仿真模型(pscad APF)

基于拉格朗日多项式差值，已知一些给定的数值点（xi，yi）求未知的数xt对应的yt的值。(Lagrange polynomial based on the difference between the known value of some given point (xi, yi) find the value of an unknown number of xt corresponding yt.)

地球化学数据处理一种常见算法SAMCF，对于识别弱小异常有较大价值(a widely-used method named SAMCF to identify weak anomaly,which has been acknowledged )

本文采用小波神经网络进行交通流量预测，短时交通流量存在随机性和非线性因素，影响预测的准确性。传统预测模型难以反映交通流量变化特点，同时传统神经网络易陷入局部极小值，泛化能力差，交通流量预测精度低。为了提高短时交通流量预测精度，提出一种小波神经网络的短时交通流量预测模型。小波神经网络可以对短时交通流量随机性、不确定性进行局部分析，并进行非线性预测，验证了模型的有效性，进行了对比试验。验证结果表明，小波神经网络提高了短时交通流量预精度，预测结果更具应用价值。(In this paper, wavelet neural network is used to forecast traffic flow. There are random and nonlinear factors in short-term traffic flow, affecting the accuracy of prediction. The traditional prediction model is difficult to reflect the characteristics of traffic flow changes. At the same time, the traditional neural network is easy to fall into the local minimum, the generalization ability is poor, and the prediction accuracy of traffic flow is low. In order to improve the accuracy of short-term traffic flow forecasting, a short-term traffic flow prediction model based on wavelet neural network is proposed. The wavelet neural network can analyze the randomness and uncertainty of short-term traffic flow and perform nonlinear prediction. The validity of the model is verified and a comparative experiment is conducted. The verification results show that the wavelet neural network improves the short-term traffic flow pre-precision, and the prediction result has more application value.)

ANFIS sample code, simulation in matlab.

Detection of M-ary PSK signals (Detection of M-ary PSK signals)