time-frequency-analysis

Harris detector The code calculates the Harris Feature Points When you execute the code, the test image file opened and you have to select by the mouse the region where you want to find the Harris points, then the code will print out and display the feature points in the selected region. You can select the number of FPs by changing the variables max_N & min_N

5点差分求二维偏微分椭圆型换热问题，采用拉普拉斯变换，求解带有第一类，第二类，混合边界条件的换热问题。(5-point differential heat seeking two-dimensional elliptic partial differential problems, using the Laplace transform, solution with a first class, second class, mixed boundary conditions of heat transfer problems.)

matlab的使用方法文档，能让你熟悉该文档可不可以使用，如何使用matlab。能让你熟悉文档的使用方法(Matlab to use the documents, make you familiar with the document Can you use, how to use Matlab.)

利用matlab编制灰色预测模型，通过少量的、不完全的信息，建立灰色微分预测模型，对事物发展规律作出模糊性的长期描述（模糊预测领域中理论、方法较为完善的预测学分支）。(Using matlab preparation gray prediction model, a small amount of incomplete information, the establishment of the gray differential prediction model fuzziness long description (fuzzy forecast field theory of the law of development of things, the more perfect branch predictions).)

说明：  AR模型的AIC定阶 5阶 过程很详细 有详细的注释(AIC given order of the AR model order 5 there is a very detailed process detailed notes)

cic filteringcic filtering

各类实现np问题的matlab算法，本人做4年数学建模累积的，内有蚁群，bintlp，弗洛伊德，kruskal等等程序(Np problem matlab realize all kinds of algorithms, mathematical modeling I did four years of accumulation, there colony, bintlp, Freud, kruskal etc. Program)

盲源分离（BSS: Blind Source Separation），又称为盲信号分离，是指在信号的理论模型和源信号无法精确获知的情况下，如何从混迭信号（观测信号）中分离出各源信号的过程。盲源分离和盲辨识是盲信号处理的两大类型。盲源分离的目的是求得源信号的最佳估计，盲辨识的目的是求得传输通道混合矩阵。(Blind signal separation (BSS), also known as blind source separation, is the separation of a set of source signals from a set of mixed signals, without the aid of information (or with very little information) about the source signals or the mixing process. This problem is in general highly underdetermined, but useful solutions can be derived under a surprising variety of conditions. Much of the early literature in this field focuses on the separation of temporal signals such as audio. However, blind signal separation is now routinely performed on multidimensional data, such as images and tensors, which may involve no time dimension whatsoever.)

用蒙特卡洛模拟的方法计算美式期权的价格以及基本描述,单径或多径瑞利衰落信道仿真，有小波分析的盲信号处理。( Monte Carlo simulation method of calculating the American option price and basic description, Single path or multipath Rayleigh fading channel simulation, There Wavelet Analysis Blind Signal Processing.)

c4.5 a classification