thesis22

改进平方根 MATLAB 比用教程 数值分析里的方法(no)

说明：  通过对业务流的参数来实现mm1排队论的模拟仿真，最终统计出各种时间。(The parameters of the business flow through to achieve mm1 queuing theory simulation, the final statistics of all time.)

Three phase high frequency isolated DC-DC converter (published in ELSEVIER)is simulated under symmetrical open loop control. It provides Low voltage conversion ratio, isolation, good regulation with fast dynamic response.

it allows a user-space application to use the parport subsystem.

该部分程序为江苏省基金项目，对工业现场采集到的化工数据数据校正的优化程序。主要实现功能是对数据过失误差剔除，进行数据协调( 自动检测语言 . 翻译结果（中 > 英） 复制结果双语对照查看 This part of the program for the optimization procedure of Jiangsu province fund project of phenol data correction. The main function of gross error, data coordination。)

说明：  自己编制的直接相关函数，用来计算信号的自相关和互相关。(Prepare its own direct correlation function, used to calculate the signal autocorrelation and cross correlation.)

本程序是mazen.O的经典论文：Performance Analysis of two-hop ralayed transmissions over rayleigh fading channels 的文章中所附的仿真图的程序，跑出的结果和文章中的附图是一样的！可以跑出里面的三张图，包括瑞利衰落下中继信道的中断概率的蒙特卡洛及公式的仿真，及选择不同的增益的性能差别曲线！ (This program is mazen.O classic paper: Performance Analysis of two-hop ralayed transmissions over rayleigh fading channels in the article accompanying the simulation of the processes, results and articles ran in the figures are the same! You can run out of the inside of the three figures, including the Monte Carlo simulation and the formula for the outage probability of Rayleigh fading relay channel, and select a different gain performance difference curves!)

数学建模或者去解决实际问题的其他的用处的一些用matlab工具使用的经典的算法(Mathematical modeling to solve practical problems of other useful some of the classic algorithm using matlab tools)

Sequential Indicator Simulation

研究表明超高斯分布更加贴近语音信号的实际分布，然而语音信号很难用单一的概率密度 函数准确描述，针对这一情况，提出了一种用超高斯混合模型对语音信号幅度谱建模的新方法，并推导了 基于此模型的幅度谱最小均方误差估的估计式。仿真结果表明：与传统的短时谱估计算法相比，该算法不 仅能够进一步提高增强语音的信噪比，而且可以有效减小增强语音的失真度，提高增强语音的主观感知 质量。 (Recent research indicates that the speech spectral amplitude distributions could be fairly described with super-Gaussian probability density function. However, the complexity of speech signal determines that the distribution statistics ofspeech signal could not be well described by single simple function. Thus a super-Gaussian mixture model for speech spectral amplitude is proposed, and with this model, a minimum mean-square error (MMSE) estimator for speech signals spectral amplitude is derived. The simulation results show that this algorithm based on Gaussian and super-Gaussian speech model could achieve better noise suppression and lower speech distortion as compared with the conventional short-time spectral amplitude estimation algorithm. )