qujingyinchongzu

2PSK调制与解调matlab仿真，包括高斯信道awgn，误码率分析(2PSK modulation and demodulation matlab simulation, including the Gaussian channel awgn, bit error rate analysis)

说明：  频率提取（FFT）的Matlab实现，使用该代码可在MATLAB中实现快速傅立叶变换(Frequency Extraction (FFT) of the Matlab implementation of the code in MATLAB using the fast Fourier transform in)

MATlab避障控制算法 需要安装Tomlab工具箱，比matlab自带工具箱更具有优点！(MATlab obstacle avoidance control algorithm will need to install Tomlab toolbox, matlab own toolbox more than the benefits!)

对流体数及设置颜色，添加切片，顶光效果的设置等等(Number of fluid and set the color, add the slices, top light effect settings, etc.)

光学设计：半导体激光器动态特性计算，LED电流—电压特性曲线仿真，高斯光束透镜变换特性的分析，光波在介质面上反射折射仿真计算，平行平面腔模的迭代解法(Optical Design: semiconductor laser dynamics calculations, LED current- voltage characteristics simulation, transformation properties of Gaussian beam analysis of the lens, light refraction in the medium surface of the reflector simulation, parallel to the plane of the cavity mode iterative solution)

基于simulink编写的燃料电池并网模型(Prepared based on simulink model of a fuel cell and network)

无线通信系统发射端仿真中，脉冲成型滤波器。是一种根升余弦滤波器。(A pulse shaping filter in the wireless communication system. It is a root raised cosine filter.)

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.)

一个用于小波边缘提取的Matlab程序。(A Matlab source code for wavelet ede extract.)

硕士学位论文基于无线传感器网络目标识别，调制连续谱特征提取(Master' s degree thesis on wireless sensor networks target recognition, feature extraction continuous spectrum modulation)