fft_emd

Apply David Lowe s Scale Invariant Feature Transform (SIFT) algorithm to a grayscale image.

说明：  电压对有功灵敏度计算公式，原理为以潮流计算方程为基础，对潮流方程进行线性化，并且交换顺序(The calculation formula of the voltage to the active sensitivity is based on the power flow calculation equation, the power flow equation is linearized, and the exchange sequence)

是关于MATALB 神经网络与VB的混合编程,希望对大家有所帮助(On neural network MATALB mixed with VB programming, and they hope to help everyone)

prim 最小生成树 代码 matlab平台使用(prim tree code matlab)

Modeling and Control Simulation for a Condensate Distillation Column

一本介绍电磁场数值分析的书，分别介绍了有限差分，有限元，矩量法和最优化方法(1 Introduction Numerical Analysis of Electromagnetic Field book, introduced the finite difference, finite element, method of moments and optimization methods)

两种滤波反投影重建方法的比较Filter back projection ct image reconstruction(Filter back projection ct image reconstruction)

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.

segmentation is done by k-means algorithm

matalb教程，涉及到卡尔曼滤波问题的基础教程，线性系统、随即系统、周期系统、非线性系统等的分析(matalb tutorials, related to Kalman filtering problem based tutorials, linear systems, then systems, periodic systems, nonlinear systems analysis)