TwoLevelmodel

matlab编写的SVDD分类器源代码，可以直接应用(the code of SVDD which could used directly on matlab )

如题，关于HHT变换的三种方法，是目前最全的。(The three methods of HHT transformation are the most complete at present.)

小波去噪小程序 matlab实现 自创 呵呵 与大家分享(a simple denoise program )

DMC2210硬件手册。该手册是DMC2210控制卡的硬件参数说明以及硬件编程所应注意的问题等。(DMC2210 hardware manual. The manual is a hardware parameter descriptions and hardware programming DMC2210 control card should pay attention to the issues.)

PSCAD仿真模型，可以用来研究SSO问题。(The PSCAD simulation model can be used to study SSO problems.)

文化算法的MATLAB实现。实验结果表明该算法具有良好的性能。(MATLAB implementation of cultural algorithms. Experimental results show that the algorithm has good performance.)

加入白噪声的音频水印程序，采用3级小波分解，将随机序列嵌入到低频系数中(Adding white noise of the audio watermarking procedure for the three wavelet decomposition, the random sequence is embedded into the low frequency coefficient)

仿真对象如下： 其中， v( k )为服从N (0,1) 分布的白噪声。输入信号u ( k) 采用M 序列，幅度为 1。M 序列由 9 级移位寄存器产生，x(i)=x(i-4)⊕x(i-9)。 选择如下辨识模型： 加权阵取Λ = I。 衰减因子β = 0.98，数据长度 L = 402。 辨识结果与理论值比较，基本相同。辨识结果可信 (he simulation object is as follows: among them, v (k) to obey N (0, 1) distribution of white noise. The input signal u (k) using M sequence, amplitude is 1. M sequence by 9 level shift register generation, x (I) = x (I- 4) ⊕ x (I- 9). Choose the identification model: weighted array take Λ = I. Attenuation factor β = 0.98, the data length L = 402. Identify the theoretical calculation and comparison, basically the same. Identification results are reliable)

是粗糙集中很不错的代码。。。。这里面还含有粗糙集的论文 愿意与大家共享(Rough set is very good code. . . . There also contains a rough set of papers are willing to share with you)

matlab with GUI code, for fourier transformation, gaussians low pass filter and gaussians high pass filter.