CompStatsToolboxV2

层次分析法求权重权向量等很多东西09年b提(very good)

很好很全的研究复杂网络的源代码，有matlab和vc两个版本的，挺实用的。(good source code of complex network。)

MATLAB神经网络应用设计-张德丰-源码(MATLAB neural network application design- Zhang Defeng- source)

用matlab中的simulink进行弹簧质量系统的仿真，可以输出速度，位移，加速度。包括itd法模态参数识别，正交归一化振型程序。(stiffness-mass simulation by simulink in matlab.it can get velocity acce and displacement.it also includes itd method and malized orthogonal functions )

说明：  matlab GUI,包括confirm对话框和modal型图形界面的用法。(matlab GUI, including the confirm dialog box and the use of modal-based graphical interface.)

包含大量的关于图像处理的C++程序和matlab程序，适合初学者学习(Contains a large number of image processing of C++ program and matlab program for beginners to learn)

Artificial Neural Networks using Particle Swamp Optimization

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. )

自己编的基于霍夫曼编码以及解码的程序，供大家分享(Own compilation based on Huffman coding and decoding procedures for share)

说明：  基于UKF的自行车状态估计matlab程序实现(Realization of Bicycle State Estimation Based on UKF with MATLAB Program)