chuanliandiandan

Finger Print Code By Matlab

共轭梯度迭代法，主要用于图像稀疏重建、图像去噪的算法(Conjugate gradient method, mainly for sparse image reconstruction, image de-noising algorithm)

AWGN channel Turbo code bit error rate model in an experimental basis, through curve fitting and other mathematical tools, to be additive white Gaussian noise channel conditions, channel coding using

说明：  A DS Spread Spectrum simulation code.

说明：  建立simulink模型进行波图像的仿真分析(Establishing Simulink model to simulate and analyze wave image)

Artificial neurone network ANN toolbox with pca

说明：  一种基于JPEG的密写方法，通过修改标准量化表，将秘密信息嵌入中频系数的最低两个比特位(Realization of a steganographic method based upon JPEG and Quantization table modification. )

MATLAB MATRIX FORMULATON OF INDUCTION MACHINE STATE EQUATIONS with runge kutta ode45

基于matlab的cdma系统，扩频通信(The cdma matlab-based systems, spread spectrum communication)

支持向量机的研究现已成为机器学习领域中的研究热点，其理论基础是Vapnik[3]等提出的统计学习理论。统计学习理论采用结构风险最小化准则，在最小化样本点误差的同时，缩小模型泛化误差的上界，即最小化模型的结构风险，从而提高了模型的泛化能力，这一优点在小样本学习中更为突出。SVM理论正是在这一基础上发展而来的，经过十几年的研究和发展，已开始逐步应用于一些领域。在解决小样本、非线性及高维模式识别问题中表现出许多特有的优势，已经在模式识别、函数逼近和概率密度估计等方面取得了良好的效果。( Support Vector Machine (SVM) is a new machine learning technique in recent years developed based on statistical learning theory (SLT). It wins popularity due to many attractive features and emphatically performance in the fields of nonlinear and high dimensional pattern recognition. The theory and algorithm of SVC is studied at first, then, simulation is to recognize handwritten numeral with the Lib-SVM toolbox. At last, we study the result, which shows that the SVC can do the classification problem with good performance, shorter operation time and is more suitable for real-time implementation.)