SVMNR

基于 DCT(离散余弦变换 )域的信息隐藏算法是目前应用最广的变换域算法 ,此类算法的最大不足是嵌信息量小。通过分析 DCT域隐藏算法隐藏容量少的原因 ,提出了一种大容量的 DCT域信息隐藏算法。算法首先对载体图像进行频谱均匀化处理 ,然后对图像进行全局 DCT变换 ,并将隐藏信息嵌入到载体图像的低频 DCT系数上 ,信息嵌入采用分段量化的方法实现 ,提取隐藏信息时不需要原始载体图像。实验结果表明 ,该算法的嵌入容量大 ,不可感知性好。(Based on DCT (discrete cosine transform) domain information hiding algorithm is the most widely used transform domain algorithms, the largest of these algorithms is the lack of a small amount of information embedded. Hiding Algorithm for DCT domain by analyzing the hidden reasons for the low capacity, a large capacity of information hiding algorithm for DCT domain. Firstly, the spectrum of the carrier image homogenization, and then the image is a global DCT transformation, and hidden information embedded into the image of the low-frequency DCT coefficients, the information embedded in the methods used to achieve sub-quantization, extract hidden information without the original Vector image. Experimental results show that the algorithm embedding capacity, can not be perceived good.)

The program shows animations of solutions of the Rubik s cube.

The Matlab code FDE12 implements the Predictor-Corrector method of Adams-Bashforth-Moulton for the numerical solution of a non-linear fractional differential equation (FDE)

学习信道建模的经典教材！尤其是对无线信道建模空时频特性进行仿真的一部重要书籍。(A classic learning textbook about wireless channel modeling!Especially it s an important book for the time-space and frequency characteristics of wireless channel modeling simulation .)

RBF prediction Mackey-Glass serie

利用熵（entropy）及多變量GM(h.N)模型的觀念，探討灰色理論於權重之分析(use of entropy (entropy) and multivariable GM (h.N) model concepts, Gray explore theories Weight Analysis)

用于3D立体显示技术开发过程中生成狭缝光栅的代码，用于显示分光。(for 3D displays.)

Raghuraj 与 Lakshminarayanan提出了基于特征值内相互关系建立预测模型,用于识别的模式识别方法——多变量预测识别模型（Variable Predictive Mode Based Class Discriminate, VPMCD）,并应用于生物学的模式识别中。VPMCD利用参数估计来建立预测模型，极大地减少了计算量，缩短了模型的训练时间。vpmcd5_revise为主函数，sec2_5_revise为训练函数(Variable Predictive Mode Based Class Discriminate, VPMCD)

本程序使用MATLAB实现了简单的APRIOR算法(This program uses MATLAB algorithm to achieve a simple APRIOR)

可以对卡尔曼滤波有较为准确的认识与理解，并且对迭代算法有一定的了解。 (Can to kalman filter have relatively accurate knowledge and understanding, and to have some understanding of iterative algorithm.)