ReBEL-0.2.7

fuzzy tool box的详细用户手册指南(fuzzy tool box of the detailed user manual guide)

这是一个用于心电信号处理的工具包，研究心电方面的可用(this is used for ECG)

it contains all the details of the following software requirement specification.

This chapter treats the design of linear-phase FIR filters. The assignments are divided in two parts, the first part focuses on the design of FIR filters using the window design method while the second part focuses on design of equiripple FIR filters using the Parks-McClellan algorithm, i.e. the remez algorithm in Matlab.

利用matlab编写的利用二分法求解g(x)=0的解法.m(Using Matlab prepared dichotomy to solve g (x) = 0 solution. M )

Face Detection using AdaBoost

this is Deployment code for wireless sensor network.

实现了 SVM 在医学图像分类中的应用，通过医学图像的实验结果验证了该方法的有效性。 对 SVM 算法进行了深入研究，结合量子行为的粒子群算法的优点，提出了一种量子行为的粒子群算法和 SVM 结合的混合分类模型，应用于医学图像的分类中。 深入研究了 K-means 算法，结合了无监督聚类和监督分类方法的优点，提出了一种 K-means 和 SVM 结合的混合分类模型，并应用于医学图像的分类中。 利用粒子群和量子行为的粒子群算法对 K-means 算法进行了改进，并将改进的K-means 算法与 SVM 算法结合形成全自动分类模型，并且把它应用于医学图像的分类中。 (SVM in the classification of medical image applications, medical images through the experimental results verify the effectiveness of the method. SVM algorithm conducted in-depth research, combined with the quantum behavior of the advantages of particle swarm optimization, PSO and SVM combined behavior of a quantum mixed classification model, applied to medical image classification. In-depth study of the K-means algorithm combines the advantages of unsupervised clustering and supervised classification method, propose a hybrid combination of a K-means and SVM classification model, and applied to the classification of medical images. Improved particle swarm algorithm using particle swarm and quantum behavior of the K-means algorithm, and improved K-means algorithm and SVM algorithm combined with the formation of a fully automatic classification model, and apply it to medical image classification.)

时域有限差分法的matlab源代码 计算电磁场的各分量(code of the fdtd matlab )

signal processing,signal processing