matlabGUI

SNR=10dB的dsss仿真，完整的系统模块，实用(SNR = 10dB the dsss simulation, complete system modules, practical)

用matlab构建的信号发生器，其中包括交互界面，产生各种简单的波形，以及波形的混合叠加，以及外加音频的简单处理。交互界面中可以清楚看到波形的时域和频域的波形，包括波形的幅值，周期，功率均有图形显示(Constructed using matlab signal generator, including interface, simple treatment produces a variety of simple waveforms, and mixed superimposed waveforms, as well as external audio. Interactive interface, you can clearly see the waveform frequency domain and time domain waveforms, including the waveform amplitude, period, power has a graphic display )

digital to analog converter

高速铁路路基沉降是一个复杂的系统过程,涉及不同时期、不同工况,选用单一的预测模型不足以反映路基整体的变形规律.Logistic模型及Verhulst模型的曲线均为S形,可以反映全过程的地基沉降与时间的关系.针对路基填筑期和降水期两个时段利用MATLAB软件编制程序计算模型参数,得到Logistic模型和灰色Verhulst模型,进而求得两者的最优加权组合模型.对比结果表明:在路基填筑期由两者的最优加权组合模型预测得到的结果与实测结果较吻合,拟合精度高于单一模型 而在降水期Verhulst模型的预测值更接近实测值,平均相对误差约为1.75％,拟合精度较高.(High-speed railway subgrade settlement process is a complex system involving different times and in different conditions, the choice of a single forecasting model does not adequately reflect the overall deformation of roadbed. Curve Logistic model and Verhulst models are S-shaped, the whole process can be reflected foundation settlement versus time. against roadbed construction period of two hours and precipitation using MATLAB software programming model parameters, the Logistic model and gray Verhulst model, and then get the optimal model of a weighted combination of the two. comparative results indicate : results and experimental results in the roadbed construction period by the weighted combination of the best of both models predicted than the anastomosis fitting accuracy than a single model precipitation predicted value of Verhulst model closer to the actual value of the average relative error approximately 1.75 fitting accuracy.)

离散粒子群算法。粒子群算法原来只能处理连续变量，算法进行了改进，可以处理离散变量(Discrete particle swarm optimization algorithm, particle swarm optimization algorithm can only deal with continuous variables, the algorithm is improved, can handle discrete variables )

说明：  分别结合VD算法和IMM算法，采用卡尔曼滤波跟踪转弯机动目标(Combining VD algorithm and IMM algorithm, Kalman filter is used to track turning maneuvering target.)

说明：  16psk格雷映射的误码率仿真,已通过matlab仿真，绝对好用( Bit Error Rate for 16-PSK modulation using Gray modulation mapping you can know 16psk modulation and gray modulation and apply them in your program)

Denoising Reduces the total-variation of the image. Filters out noise while preserving edges. Textures and fine-scale details are also removed. In this demo the assumption is that a white Gaussian noise is added with priori known (or estimated) noise power (variance). The fidelity term to the input image is calculated automatically so that the power of the noise is reduced.

Convex Optimization, network model

基于伪随机序列的DS-CDMA系统性能分析(Basic framework-based communication system, DS-CDMA system performance analysis...)