msk_matlab

基非下采样的Contourlet变换的图像融合，要放到NSCT工具包中执行(Under the base of non-sampling Contourlet transform image fusion, to put the implementation of the toolkit NSCT)

matlab开发学生成绩管理，比较有启发性。(the development of student achievement management matlab)

A set of functions to automatically process files saved by Avantes AvaSoft 7 software. See demo for example of use and descriptions within each m-file. The main function to use is avantesSpectrumRead, it will read all binary and ASCII files saved by Avantes within a directory. The binary file reader is the avantesBinaryRead function. A couple of additional useful functions (getScansByTime and getValueAtWavelength) are provided.

source code for linear kalman filter analysis

watershed animation matlab

一种基于图像对称性的超高分辩率显微图像算法。用于快速超高分辨率显微图像处理(A symmetry based algorithm for superresolution fluorescence image processing. Based on nmeth.2071)

给定观测序列 O=O1O2O3…Ot和模型参数λ=(A,B,π)，怎样有效计算某一观测序列的概率，进而可对该HMM做出相关评估。例如，已有一些模型参数各异的HMM，给定观测序列O=O1O2O3…Ot，我们想知道哪个HMM模型最可能生成该观测序列。通常我们利用forward算法分别计算每个HMM产生给定观测序列O的概率，然后从中选出最优的HMM模型。(Given the observation sequence O = O1O2O3 ... Ot and model parameters λ = (A, B, π), how to effectively calculate the probability that a single observation sequence, and thus can make the relevant assessment of the HMM. For example, there are a number of different model parameters HMM, given the observation sequence O = O1O2O3 ... Ot, we want to know which model is most likely to generate the HMM observation sequence. Usually we use forward algorithm calculates the probability of a given observation sequence O generated for each HMM, HMM and then to choose the best model.)

实现彩色作图，可实现不同frame累计，并进行插值(Color mapping can be accumulated to achieve a different frame, and interpolation)

说明：  精通MATLAB综合辅导与指南例程，都是可实现的源码，帮助学习(Proficient in MATLAB Guide Comprehensive Counseling and routines, are the source can be realized to help learning)

将OFDM的过程讲解得很清楚，很适合开始学习OFDM及ＭＩＭＯＯＦＤＭ　的同志们参阅(OFDM process will explain very clearly, it is appropriate to begin to learn OFDM and comrades MIMOOFDM see)