Image-Fusion-using-UnDecimated-Wavelet-Transform

Fuzzy c-means clustering (FCM) with spatial constraints (FCM_S) is an effective algorithm suitable for image segmentation. Its effectiveness contributes not only to introduction of fuzziness for belongingness of each pixel but also to exploitation of spatial contextual information. Although the contextual information can raise its insensitivity to noise to some extent, FCM_S (1) still lacks enough robustness to noise and outliers and (2) is not suitable for revealing non-Euclidean structure of the input data due to the use of Euclidean distance (L2 norm).

matlab中双馈电机仿真模型的s函数代码(s double-fed motor simulation model matlab function code)

非常好的偏最小二乘分析的程序，包含了典型相关分析、主成分分析和多元线性回归。可以根据具体的需要更改代码变成非线性回归，建立多个自变量和多个因变量之间的关系应用很广。包含计算程序和画图表示结果的程序两个m文件(Very good partial least squares analysis of programs, including the canonical correlation analysis, principal component analysis and multiple linear regression. It can become a non-linear regression, depending on the need to change the code to establish relationships between multiple independent variables and multiple dependent variables very wide application. Program includes the calculation procedures and drawing showing the results of two m files)

Lozi系统的李雅普图形及相应的MATLAB语言程序(Lozi system and procedures of the Lyapunov map)

Compressive sampling is an emerging technique that promises to effectively recover a sparse signal from far fewer measurements than its dimension. The compressive sampling theory assures almost an exact recovery of a sparse signal if the signal is sensed randomly where the number of the measurements taken is proportional to the sparsity level and a log factor of the signal dimension. Encouraged by this emerging technique, this thesis briefly reviews the application of Compressive sampling in speech processing. It comprises the basic study of two necessary condition of compressive sensing theory: sparsity and incoherence. In this thesis, various sparsity domain and sensing matrix for speech signal and different pairs that satisfy incoherence condition has been compiled.

说明：  局域世界模型，复杂网络的多局域世界网络模型(multi-local world model complex network theory)

清音的对数幅度谱，短时过零率，平均能量，基音周期(Voiceless logarithmic amplitude spectrum, short-term zero crossing rate, average energy, pitch period)

enhanced mapping algorith for loclaization and mapping problem

perceptron classification in matlab

本代码是关于Multi-Dimensional Scaling（MDS）的代码，可以用于特征提取、特征选择，或是矩阵降维。(This file is part of the Matlab Toolbox for Dimensionality Reduction v0.4b. You are free to use, change, or However, )