delphi-APPLICATIONEVENTs

The histogram of the image gives the frequency of occurrence of the gray level.

说明：  在处理光学问题中常用的LM方法，有助于用matlab解微分方程(Optical problems in dealing with the LM method commonly used to help with matlab for solving differential equations)

PSO算法，在实验室matlab7.9环境运行过，主要是做LED灯光强度试验的(PSO algorithm running in the laboratory, matlab7.9 environment, mainly to do LED light intensity test)

Sugeno控制仿真模型源程序，该程序对Sugeno模糊控制进行的仿真，其中包含基本的源程序，便于学习(Sugeno control simulation model of the source, the program on Sugeno fuzzy control simulation, which contains the basic source code, easy to learn)

this model show the design of sun seeker control system using neural network model refrence with neural network toolbox and SIMULINK with MATLAB

说明：   <小波分析理论与MATLAB 7实现>是“MATLAB应用技术”系列丛书之一，以最新推出的MATLAB中的小波分析工具箱Wavelet Toolbox 3.0版本为基础。全书共分为三部分，第1部分着重介绍了小波理论基础，包括小波基础知识、连续小波变换、离散小波变换、多分辨率分析与正交小波变换、小波变换和多采样滤波器组、二维小波变换与图像处理及小波包的基本原理等；第2部分重点说明了小波分析工具箱的详细使用方法，包括图形用户接口、小波通用函数、一维小波变换的MATLAB实现、二维小波变换的MATLAB实现、小波包变换的MATLAB实现、信号和图像的降噪和压缩，以及最新的信号和图像的提升小波变换等内容；第3部分主要介绍了小波工具箱的应用基础，以及小波变换在语音和生物医学信号处理中、故障诊断中、数字水印中的应用方法。 本书可作为理工科各专业的高年级本科生、研究生学习小波分析的辅助教材，也可作为研究和应用这一领域的科技工作者的参考书。 (err)

Switching an Inductive Circuit Using a Breaker With no Snubber This example illustrates the Ideal Switching device solution method of the Powergui block.

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. )

混合高斯模型EM算法,对数据样本进行归类(EM algorithm by mixture gaussian model, calssify the data samples)

介绍了MATLAB下控制无刷直流电机 采用闭环控制 各模块讲解比较详细(MATLAB introduced under the control of brushless DC motor closed-loop control of each module to explain in more detail)