Matlab-study

深度学习的自编码器MATLAB程序。需根据文档内说明进行相关文件下载并配置(Depth of learning from the encoder MATLAB. To be based on the relevant documents within a document instructions to download and configure)

： 针对粒子群优化算法易陷入局部极值的缺点， 提 出一种改进粒子群算法， 该算法借鉴贪婪算法的思想初始化种群， 利用两 个种群同时寻优， 并将遗传算法中交叉和变异操作引入其 中， 实现种群间的信息共享。(I n a l l u s i o n t o p a r t i c l e s wa r m o p t i mi z a t i o n b ei n g pr on e t o g e t i n t o l oc a l mi n i mu m， a n i mpr o v e d p a r t i c l e s wa r m o pt i mi z a t i o n a l g o r it h m i s p r o po s e d． Th e a l g o r it hm dr a ws o n t h e t hi n ki ng o f t he g r e e d y a l g o r it hm t o i n i t i a l i z e t he pa r t i c l e s wa l- n 1 ． Two s wa r ms a r e u s e d t o o pt i mi z e s y nc h r o no u s l y， a nd c r o s s o v e r a n d mu t a t i o n o p er a t o r s i n g e n e t i c a lg o r i t h m a r e i n t r o d uc e d i n t o t h e ne w a l g o r it h m t o r e a l i z e t h e s ha r i ng o f i n f o r m a t i o n a mo ng s wa r l T i S ．)

Control vector parameterization, also known as direct sequential method, is one of the direct optimization methods for solving optimal control problems. The basic idea of direct optimization methods is to discretize the control problem, and then apply nonlinear programming (NLP) techniques to the resulting finite-dimensional optimization problem.

干旱指数-标准化降水指数SPI计算的matlab程序。输入数据为各月的降水量(Drought Index- the standardized precipitation index SPI calculation matlab program. Input data for the month of precipitation)

Noise estimators for MRI data Toolbox Several methods to automatically estimate the level of noise in single- and multiple-coil MRI

实现了小小去噪，与其他去噪方法相比取得了良好的效果(denoising based on wavelet)

详细讲解MATLAB7_0的新功能和特点，PDF文档(MATLAB7_0 elaborate on the new functions and features, PDF documents)

对数据集breast_cancer，用LR，NB算法对其进行操作(On the data set breast_cancer, with LR, NB algorithms manipulate)

对图像做傅里叶频谱变换，可以求出图像的频谱分布，实现频谱中心化(Fourier transform spectrum of the image to do, you can find the spectral distribution of the image to achieve the center of the spectrum)

Code for denoising images. This code differs from standard wavelet denoising techniques in that it uses non-orthogonal wavelets, and unlike existing techniques, ensures that phase information is preserved in the image. Phase information is of crucial importance to human visual perception. Also, this code does have an effective way of determining threshold levels automatically. (Code for denoising images. This code differs from standard wavelet denoising techniques in that it uses non-orthogonal wavelets, and unlike existing techniques, ensures that phase information is preserved in the image. Phase information is of crucial importance to human visual perception. Also, this code does have an effective way of determining threshold levels automatically.)