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heat implecit method

Matlab source code for calculation dispersion properties of tubular double-wall dielectric waveguides. FEMlab codes for calculations distributions of magnetic and electric fields in it.

说明：  生成有色噪声，并显示噪声功率谱。这该死的20个字(Generating colored noise)

利用bior5.5小波对声音进行能量特征提取。小波基可以任意变换。(The sound use bior5.5 wavelet energy feature extraction. Wavelets can transform any.)

实现典型相关分析，计算加权加速度,基于chebyshev的水声信号分析，用于建立主成分分析模型，线性调频脉冲压缩的Matlab程序,相控阵天线的方向图（切比雪夫加权），鲁棒性好，性能优越。 ( Achieve canonical correlation analysis, Weighted acceleration, Based chebyshev underwater acoustic signal analysis, Principal component analysis model for establishing, LFM pulse compression of the Matlab program, Phased array antenna pattern (Chebyshev weights), Robustness, superior performance. )

最经典的matlab介绍微粒群算法的书，不好买的。(The most classic PSO algorithm matlab introduction of the book, not bought.)

用matlab实现的最小二乘拟合圆，能输出半斤，圆心坐标，拟合误差等等(a program for cirfit)

说明：  这是一个关于dQPSK的Matlab程序 这是一个关于dQPSK的Matlab程序 (This is a dQPSK the Matlab program This is a dQPSK the Matlab program)

engineering optimization methods using newton method, quasi newton method, and conjugate gradient method

说明：  本文提出了一种基于混沌加密的DCT域二值图像数字水印算法.该算法首先利用混沌序列将含有版权信息的有意义二值图像水印进行加密,然后利用人眼视觉系统(HVS)的特性将原始载体图像进行块分类,最后将不同强度的水印分量嵌入到不同类的图像块DCT中频系数中去.利用混沌序列对水印进行加密,使水印本身具有安全性,对数字作品进行双重保障.通过高斯噪声,椒盐噪声以及JPEG压缩和剪切等攻击试验,表明了该算法具有较好的鲁棒性.(Encryption in DCT domain is proposed. Firstly, the meaningful binary image watermark containing copyright information is encrypted by using chaotic sequence, and then the original image is classified by using the characteristics of human visual system (HVS), Finally, the watermark components with different intensities are embedded into the DCT intermediate frequency coefficients of different types of image blocks. Chaotic sequences are used to encrypt the watermark, so that the watermark itself has security and double protection for digital works. Experiments on Gaussian noise, salt and pepper noise, JPEG compression and clipping show that the algorithm has good robustness)