TM_MODEL-SUMLATION

name:UTKARSH guide: A.S.ABHYANKAR SIR this code is for wavelet transform using lifting scheme. but this code is not having in-place computational capacity.

dw to xls 这个是用于pb9下的,已经修改过，不会弹出demo。 pb8的。 pb8设置有点麻烦，因为pb9是可以直接把(dw to xls)

说明：  在用混沌理论和神经网络进行短期负荷预测时，神经网络的输入的选择至关重要，该程序用matlabl实现了基于混沌时间序列的嵌入维数的选择(In chaos theory and neural networks with short-term load forecasting, neural network is essential to choose the input, the program implemented with matlabl chaotic time series based on the number of choices of embedding dimension)

使用有限元方法, 2D FEM计算热扩散方程. 三角形分割. (use of the finite element method, 2D FEM calculation of thermal diffusion equation. Triangle division.)

有限反馈的仿真程序，当选择不同的发送用户数时候的系统吞吐量。(Limited feedback simulation program, when choose a different number of users when sending the system throughput.)

Signal subspace identification is a crucial first step in many hyperspectral processing algorithms such as target detection, change detection, classification, and unmixing. The identification of this subspace enables a correct dimensionality reduction, yielding gains in algorithm performance and complexity and in data storage. This paper introduces a new minimum mean square error-based approach to infer the signal subspace in hyperspectral imagery. The method, which is termed hyperspectral signal identification by minimum error, is eigen decomposition based, unsupervised, and fully automatic (i.e., it does not depend on any tuning parameters). It first estimates the signal and noise correlation matrices and then selects the subset of eigenvalues that best represents the signal subspace in the least squared error sense. State-of-the-art performance of the proposed method is illustrated by using simulated and real hyperspectral images.

该pdf描述的是骂matlab怎样跟CCS进行相连，及matlab模块语言自动生成CCS中的C语言。(The pdf describes how matlab curse connected with the CCS conducted, and the matlab module language CCS in the automatically generated C language.)

对于线性代数等知识在matlab的编码。主要有讲解ppt和matlab代码。(For linear algebra knowledge encoded in the matlab. Mainly explain ppt and matlab code.)

face detected in matlab SVM algorithm

its a ups model implemented using simulink