IBR-application

MRTD 2D code in matlab

Derivation of plane curves by means of cubic involutions

无线传感定位的一个入门算法，介绍了信标节点密度与定位精度的关系(Wireless sensor positioning as an entry algorithm introduced beacon node density and the relationship between positioning accuracy)

基于Malvar窗时频谱的反Q滤波方法0479-8023(2012)03-0405-06(Seismic Inverse Q Filíering U sing Malvar Window based Time-Frequency Analysis)

The main features of the considered identification problem are that there is no an a priori separation of the variables into inputs and outputs and the approximation criterion, called misfit, does not depend on the model representation. The misfit is defined as the minimum of the l2-norm between the given time series and a time series that is consistent with the approximate model. The misfit is equal to zero if and only if the model is exact and the smaller the misfit is (by definition) the more accurate the model is. The considered model class consists of all linear time-invariant systems of bounded complexity and the complexity is specified by the number of inputs and the smallest number of lags in a difference equation representation. We present a Matlab function for approximate identification based on misfit minimization. Although the problem formulation is representation independent, we use input/state/output representations of the system in order (The main features of the considered identification problem are that there is no an a priori separation of the variables into inputs and outputs and the approximation criterion, called misfit, does not depend on the model representation. The misfit is defined as the minimum of the l2-norm between the given time series and a time series that is consistent with the approximate model. The misfit is equal to zero if and only if the model is exact and the smaller the misfit is (by definition) the more accurate the model is. The considered model class consists of all linear time-invariant systems of bounded complexity and the complexity is specified by the number of inputs and the smallest number of lags in a difference equation representation. We present a Matlab function for approximate identification based on misfit minimization. Although the problem formulation is representation independent, we use input/state/output representations of the system in order)

Three basic code PSO in Java and one in matlab, pdf files format, for english version ..you can use google translator

This file is for PCA COV

说明：  一个用于计算图像边缘强度的matlab程序，可以用了检测图像边界(EDGE detecting)

说明：  该程序用来读取地震原始资料segy格式的数据，也可以增加些模块对数据进行处理(The program used to read raw data segy seismic data format can also be added so that the data processing module)

Digital Signal and Image Processing Using MATLAB