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matlab 6.0的指令大全，后来很多版本的与6.0的兼容，大家可以参考。(matlab 6.0 all instructions!!)

说明：  Emotion modeling and recognition has drawn extensive attention disciplines such as psychology, cognitive science, and, lately, engineering. Although a significant amount of research has been done on behavioral modalities, less explored characteristics include the physiological signals.

交流异步电动机稳态模型 matlab simulink仿真 变压变频调速 调压调速(AC motor double closed loop speed control system MATLAB simulation)

matlab版本 图论中的旅行商问题TSP算法 一般C版本的比较多，这里提供matlab版本的，更简单方便使用 (Matlab code of TSP algorithm in graph theory)

说明：  matlab有限长序列的DTFT分析，详细说明了matlab的基本功能(DTFT matlab finite length sequence analysis, detailed description of the basic functions of matlab)

matlab-sor实现matlab上的sor迭代法(Matlab- sor achieve the Matlab sor iterative method)

画出每个IMF分量及最后一个剩余分量residual的图形 画出每个IMF分量及剩余分量residual的幅频曲线 用Hilbert变换直接求该信号的瞬时频率 计算HHT时频谱和边际谱(Draw each IMF component and the last one remaining residual component graphics draw each IMF component and the amplitude of the remaining component of the residual frequency curve directly seeking the instantaneous frequency of the signal with the Hilbert transform spectrum and marginal spectrum calculation HHT)

完备图像稀疏表示是一种最新的图像表示模型，采用过完备字典中原子的线性组合形式实现图像的稀疏表示．传统 的过完备图像稀疏表示模型采用重建误差的平方和作为保真项．该保真项没有充分考虑到人眼对图像的感知特性，无法度量图 像中边缘、轮廓、纹理等局部几何结构的变化．本文基于过完备稀疏表示理论思想，建立了新的稀疏性正则化的图像稀疏表示模 型．模型中的正则项约束图像表示系数的稀疏性，保真项采用更符合视觉感知的结构相似性度量．基于正交匹配追踪算法，提出 了基于结构相似度的正交匹配追踪算法．实验结果表示，新的模型能够更好地重构图像的结构信息，获得更好的重建视觉效果． (Image Sparse Representation Model bed StmctIlral SiIIIilarity )

目标跟踪的IMM算法的matlab参考程序 希望能帮到大家 (IMM target tracking algorithm matlab reference program)

Speech Recognition - Numbers 1 to 5 Energy normalization and time alignment References: [1] L. Rabiner and B.H. Juang,Fundamentals of Speech Recognition, Prentice-Hall, 1993. ％ [2] P.E. Papamichalis, Practical Approaches to Speech Coding, Prentice-Hall, 1987. ％ [3] J.D. Markel and A.H. Gray,Linear Prediction of Speech(Speech Recognition-Numbers 1 to 5 Energy n ormalization and time alignment References : [1] L. Paras and B. H. Juang, Fundamentals of Speech Recognition. Prentice-Hall, 1993. % [2] P. E. Papamichalis, Practical Approaches to Speech Coding, Prentice-Hall, 1987. % [3] J. D. Markel and A. H. Gray, Linear Prediction of Speech)