matlabcodeofleida

pemodelan pangan using matlab

说明：  关于空间矢量控制的程序，对于异步电机矢量控制具有参考意义(On space vector control procedures for the induction motor vector control with reference value)

子空间匹配追踪matlab程序，首先选择2K个原子，然后通过校正选择其中的K个原子。(Subspace matching pursuit matlab program, first select 2K atoms, and then select one by correcting the K atoms.)

FDTD中对仿真图像模拟显示，方便对于时间域有限差分的相关模拟就行研究(FDTD simulation image simulation to facilitate research on the finite difference time domain simulation)

基于蚁群算法的改进进行边缘检测，改方法可行，并且速度快，与传统算法进行比较。(Based on improved ant colony algorithm for edge detection, change the method is feasible, and fast, with traditional algorithms were compared.)

Eigenfaces: PCA tends to find a p-dimensional subspace whose basis vectors correspond to the maximum variance direction in the original image space (p  N). We called the new subspace defined by basis vectors “face space”. First, all training faces are projected onto the face space to find a set of weights that describes the contribution of each vector. Then we project all testing faces onto the face space to obtain a set of weights. Finally, we identify the face by comparing a set of weights for the testing face to sets of weights of training faces.

BP神经网络对一组数据的预测分析。。。。。(BP neural network prediction of a set of data analysis)

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.

recnstitution重构相空间，在非线性系统分析中有重要的作用(recnstitution reconstructed phase space, in the nonlinear analysis has an important role in)

求桁架应力以及支座反力，求各点的位移大小(Truss stress and seek support reaction, seek points of displacement size)