kuoda

基于内容的图像识别-支持向量机方法-8分类(Content-based image recognition- classification of support vector machines-8)

异步电机的仿真模型，基于matlab/simulink环境开发(Induction motor simulation model, based on matlab/simulink environment for development)

关于遗传算法的matlab 程序代码，或许对有些这方面的同仁有用(on Genetic Algorithms Matlab code, perhaps some of us in this regard useful)

Radial Basis Function Neural Controller for Tanker Ship Headin

Softmax 函数处理，softmax 用于 Deep Learning 后的分类器的实现与识别，此函数的参数经过优化，有较强的泛化能力和性能(Softmax function processing, softmax classifier Deep Learning for the realization and recognition, the parameters of this function is optimized, there is a strong generalization ability and performance)

自己编的welch方法用于功率谱估计的算法代码，希望有用。(Welch their series method for power spectrum estimation algorithm code, I hope useful.)

Harris Corner Detection Matlab

matlab 编程入门书籍非常适合初学者的书籍(Programming introductory books for beginners books)

说明：  基于压缩感知思想的图像分块压缩与重构方法 考虑到大多数图像信号信息分布有差异, 编码端, 在对图像分块的基础上, 融合熵估计 和边缘检测方法计算各图像块的信息含量, 再从两个不同的角度进行分类采样: 依据信息量多少将图像块分为平滑、过渡和纹理3 类, 使用不同的采样率采样 依据信息量的分布特征, 采用不同的采样率分配策略进行采样. 在解码端, 根据不同类型的图像块构造不同的线性算子进行重构, 再运用改 进的迭代阈值算法去除块效应和噪声. 实验证明, 算法在提升图像重构质量的同时缩短了重构时间,并且对纹理边缘多的图像的重构效果较其他方法理想.(Considering that most information of the image signal difference distribution, the encoding side, in the right image sub-blocks based on the integration entropy estimation And edge detection method for calculating the information content of each image block, and two different angles classification sampling: The number of image blocks based on the amount of information into a smooth, transition and texture three classes, using different sampling rates based on the amount of information distribution characteristics, using different sampling sampling rate allocation strategy. in the decoding side, depending on the type of image blocks to construct different linear operator reconstructed, re-use change Iterative thresholding algorithm into blockiness and noise removal experiments show image reconstruction algorithm to enhance the quality while reducing reconfiguration time, and much of the texture edge image reconstruction results are satisfactory compared to other methods.)

matlab应用大全-赵海滨，第9章反馈神经网络源码(matlab application Daquan- ZhaoHaiBin Chapter 9 feedback neural network source)