interpolationimage

本程序提供了在空间相关信道下，差分空时码的源代码(This procedure provides a channel in the space-related, differential space-time source code)

M-QAM的MATLAB源代码(M-QAM the MATLAB source code)

利用功率谱估计及ＩＦＴ数字滤波及短时傅里叶变换等手段对声音信号进行处理(Use of the means of power spectrum estimation and IFT digital filtering and short time Fourier transform , such as the sound signal processing )

Bema analysis by using the finte element method

元胞自动机(Cellular Automata，简称CA，也有人译为细胞自动机、点格自动机、分子自动机或单元自动机)。(Cellular automata (Cellular Automata, called CA, it was also translated into cellular automata, lattice automata, automaton molecule or cell automata).)

这个例子显示了一个静止同步补偿器（STATCOM）用于中点电压调节的500千伏输电线路。(This example shows a Static Synchronous Compensator (STATCOM) used for midpoint voltage regulation on a 500-kV transmission line.)

数字水印中，对于水印的置乱方法：Arnold置乱，通过改变像素点的位置增强水印的鲁棒性(Digital watermark, the watermark scrambling for ways: Arnold scrambling, by changing the position of pixels increase the robustness of the watermark)

dct matlab understanding on watermark

详细介绍了窄带滤波器的设计，如半带，CIC等原理，原理很详细(Details of the narrow-band filter design, such as half-band, CIC and other principles, the principle in detail)

摘要 该文主要考虑利用图像噪声再生技术来提取图像细节 其思想是利用被滤除的噪声信号进行回收再利用 通过对噪声信号和初步去噪信号进行小波变换 比较它们的小波系数 当噪声信号的小波系数达到一定的阈值时 将噪声信号的小波系数保留叠加至初步去噪信号的小波系数 然后利用传统的软阈值去噪的方法来进行图像的去噪 从而达到既能够去除噪声 又能保留图像细节的目的 实验证明 该方法较传统的方法在去噪和细节保持上有改进(Abstract In this paper, consider using images to extract the noise regeneration of its ideological image detail is the use of the noise signal was filtered to recycle through the noise signal and the initial wavelet transform de-noising signal comparison of their wavelet coefficients of the wavelet signal when the noise coefficient reaches a certain threshold will be the noise signal superimposed to the wavelet coefficients to retain the initial de-noising signal wavelet coefficients and then using the traditional soft-threshold denoising approach to image denoising in order to achieve the removal of noise can not only be able to retain The purpose of image detail that the methods of the experiment a more traditional approach to denoising and detail in there to keep improving)