dctimagecompressionmatlab

本程序为遗忘因子最小二乘法，可以拷贝至matlab的M文件中适应(Matlab for ] least square method)

分析了灰度图像的脂质体，并产生不同的大小和形状参数。(This function analyses grayscale .tif images of liposomes (or any round shaped particles). This function applies to the image: 1. Histogram Equalization. 2. Low Pass Filter (variable size, default size 12). 3. Illumination Equalization (default size 120). 4. Thresholding (user input). 5. Removing Edge Particles (user input). 6. Removing Edge Particles (by size, user input). 7. High Pass Filter (default size 3). 8. Size Analysis. Default: Orientation , MinorAxisLength , MajorAxisLength , Centroid , Area . 9. Final artifact removal (user input). The output is a .txt file with a table containing all the parameters. An example is provided with the code. )

programme d optimisation

一、椭圆型偏微分方程 1. Helmholtz方程 及 特例（Possion方程， Laplace方程）； Helmholtz.m possion 2. 满足牛顿边值条件的Helmholtz方程；Helmholtz_Newton.m 二、抛物线型偏微分方程 1. 显式前向欧拉法 EF_Euler.m 2. 隐式后向欧拉法 IB_Euler.m 3. Grank-Nicholson法 Grank_Nicholson.m 4. 二维热传导抛物线方程 TDE.m 三、双曲线型偏微分方程 1. 显式中心差分法（一维波动方程） ECD_Wave.m 2. 显式中心差分法（二维波动方程） Wave2.m 四、有限元法 二维偏微分法方程（拉普拉斯方程） fem_basis_ftn.m Show_Basis.m fem_coef 五、使用GUI形式的偏微分方程求解工具求解偏微分方程（PDETOOL） 来自《精通Matlab科学计算》第三版(Numerical Methods for PDE)

风光互补的最大功率跟踪MPPT的simulink仿真(Scenery of the most power tracing MPPT complementary of simulink)

Image steganography technique is widely used to realize the secrecy transmission. Although its strategies on classical computers have been extensively researched, there are few studies on such strategies on quantum computers. Therefore, in this paper, a novel, secure and keyless steganography approach for images on quantum computers is proposed based on Moir´ e pattern. Algorithms based on the Moir´ e pattern are proposed for binary image embedding and extraction. Based on the novel enhanced quantum representation of digital images (NEQR), recursive and progressively layered quantum circuits for embedding and extraction operations are designed. In the end, experiments are done to verify the validity and robustness of proposed methods, which confirms that the approach in this paper is effective in quantum image steganography strategy.

说明：  sift特征提取，然后再利用svm算法实现特征分类预测(SIFT feature extraction, and then use SVM algorithm to achieve feature classification and prediction)

This is a code for art authentication in matlab.Works fine have tried and tested. Involves image classifucation, processing segmentation etc.

b样条和贝塞尔曲线的绘制，matlab和vc平台上的两个版本(b-spline and Bezier curve drawing, matlab, and two versions of the platform vc)

摘要 本文提出了一种新的基于极大似然法的椒盐噪声滤波算法。在传统BP 算法中引入 了极大似然估计，在训练样本时能够在考虑网络逼近行为的同时对噪声分布进行估计。而且 针对椒盐噪声模型构造了新的鲁棒误差函数，从而使算法本身的抗干扰性增强。实验结果表 明了该算法与传统BP 算法相比具有更好的滤波性能。(Abstract This paper presents a new maximum likelihood method based on impulse noise filter. In the traditional BP algorithm, the introduction of the maximum likelihood estimation, the training samples can also be considered acts of the network approach to estimate the noise distribution. Salt and pepper noise and model construction for a new robust error function, so that the enhanced anti-jamming algorithm itself. Experimental results show that the algorithm compared with the traditional BP algorithm has better filtering performance.)