nutrient

ofdmaz自适应资源分配，SIPS04Main.m为主程序，直接运行即可获得结果(ofdmaz adaptive resource allocation, SIPS04Main.m-based procedures, to receive the results of the direct operation)

些程序是一个雷达跟踪一目标的仿真图形,可实现kalman滤波的估计轨迹与真实轨迹的误差,并分别可绘出X,Y方向的跟踪误差,对初学都来说,是一个非常好的学习例子(These procedures is one goal of a radar tracking simulation graphics, can be realized kalman filter estimated trajectory with the true trajectory error, and can be mapped, respectively, X, Y direction of the tracking error for both novice, it is a very good learning examples)

This is my simulation of PMSM. Hope you can edit and use it to your exercise. It is not actually correct but I think it will be useful for you.

Energy Impact of Emerging Mobile Internet Applications on LTE Networks: Issues and Solutions

nurbs曲线在MATLAB中的实现，绘制(nurbs curve)

详细介绍matlab工具箱的使用，介绍的很详细。(Details of the use of matlab toolbox, described in great detail.)

Abstract：Thearticleismainlydevotedtothetheoryaswellastheachievementonthemodulationanddemodulationofπ/ 4-DQPSKsysteminthesoftwareSystemView.Besides，thearticleanalysesthedynamicandstatic behaviorsoftheπ/4-DQPSKsystemaswellastheperformanceagainstnoiseundertheconditionofGaussnoise channel.Thecomparisonismadeonthespectrumandanti-noiseperformancebetweenπ/4-DQPSKandQPSK underthethesamechannel.Theresultofsimulationshowsthatthespectrumexpandingofπ/4-DQPSKissuperiortothatoftheQPSKsystem. Keywords：π/4-DQPSK；SystemView；computeraideddesign（CAD）；Matlab(Abstract: Thearticleismainlydevotedtothetheoryaswellastheachievementonthemodulationanddemodulationof pi/4-DQPSKsysteminthesoftwareSystemView.Besides, thearticleanalysesthedynamicandstatic behaviorsofthe pi /4-DQPSKsystemaswellastheperformanceagainstnoiseundertheconditionofGaussnoise channel.Thecomparisonismadeonthespectrumandanti-noiseperformancebetween pi /4-DQPSKandQPSK underthethesamechannel.Theresultofsimulationshowsthatthespectrumexpandingof pi /4-DQPSKissuperiortothatoftheQPSKsystem. Keywords: Pi /4-DQPSK; SystemView; Computeraideddesign (CAD); Matlab)

it is calll for lots of data set for lda

GRID STORAGE BATTERY

本文介绍了基于MATLAB的语音识别系统，包括对语音信号的特征提取，包括语音信号的特征提取，快速傅立叶变换，离散余弦转换，线性预测分析，梅尔频率倒谱系数以及高斯混合模型。(This paper aims at development and performance analysis of a speaker dependent speech recognition system using MATLAB® . The issues that were considered are 1) Can Matlab, be effectively used to complete the aforementioned task, 2) Accuracy of the Gaussian Mixture Model used for parametric modelling, 3) Performance analysis of the system, 4) Performance of the Gaussian Mixture Model as a parametric modelling technique as compared to other modelling technique and 5) Can a Matlab® based Speech recognition system be ported to a real world environment for recording and performing complex voice commands. The aforementioned system is designed to recognize isolated utterances of digits 0-9. The system is developed such that it can easily be extended to multisyllabic words as well.)