medical-image-comp

三次TC-Bezier曲线的拼接以及双三次TC-Bezier曲面拼接。(Three TC-Bezier Curves and Bicubic TC-Bezier Surfaces.)

QPSK信号在加入白高斯噪声（AWGN）后，用matlab进行仿真，并绘制了误码率图形。( The QPSK signal after joining the white gaussian noise (AWGN), carries on the simulation with matlab, and has drawn up the error rate graph. )

最优化方法的一些基本算法的实现：1，0.618法；2，牛顿法；3，改进牛顿法；4，FR法；5，DFP法(Ways to optimize some of the basic algorithm implementation: 1,0.618 method 2, Newton' s method 3, improved Newton method 4, FR Act 5, DFP method)

说明：  课程设计上编写的qpsk译码的程序，matlab的开发环境，很实用(Curriculum design program written qpsk decoding, matlab development environment, it is practical )

一种主元分析的人脸识别matlab源码，利用SVD分解提取主分量进行人脸识别(A principal component analysis for face recognition matlab source code, the use of SVD decomposition to extract principal components for face recognition)

方便初学者！插值与拟合的matlab实现！ 可方便同学做课设！(Easy for beginners! Interpolation and fitting matlab realize! Classes students can be easily set up to do!)

本文档介绍了如何在c++环境下调用MATLAB(This document describes how to call c++ environment MATLAB)

给出了分形计算的源代码的matlab程序，可以迅速帮助大家进行分形的分析与计算，参数容易设置 (Gives the fractal calculation matlab source code program that can quickly help you to fractal analysis and calculation of parameters easy to set)

统计模式识别工具箱（Statistical Pattern Recognition Toolbox）包含： 1，Analysis of linear discriminant function 2，Feature extraction: Linear Discriminant Analysis 3，Probability distribution estimation and clustering 4，Support Vector and other Kernel Machines( This section should give the reader a quick overview of the methods implemented in STPRtool. • Analysis of linear discriminant function: Perceptron algorithm and multiclass modification. Kozinec’s algorithm. Fisher Linear Discriminant. A collection of known algorithms solving the Generalized Anderson’s Task. • Feature extraction: Linear Discriminant Analysis. Principal Component Analysis (PCA). Kernel PCA. Greedy Kernel PCA. Generalized Discriminant Analysis. • Probability distribution estimation and clustering: Gaussian Mixture Models. Expectation-Maximization algorithm. Minimax probability estimation. K-means clustering. • Support Vector and other Kernel Machines: Sequential Minimal Optimizer (SMO). Matlab Optimization toolbox based algorithms. Interface to the SVMlight software. Decomposition approaches to train the Multi-class SVM classifiers. Multi-class BSVM formulation trained by Kozinec’s algorithm, Mitchell- Demyanov-Molozenov algorithm )

digital siganal,matlab