SAMMON1

本程序实现对图像的打开、退出操作，以及图像旋转、添加噪声、图像平滑（椒盐噪声处理、均值低通滤波处理、中值滤波处理）、图像直方图显示、预测编码，在MATLAB中用GUI实现。(This program implements the image is opened, quit the operation, as well as image rotation, adding noise, image smoothing (salt and pepper noise processing, the mean low-pass filtering, median filtering process), histogram display, predictive coding, in MATLAB using GUI implementation.)

说明：  计算各向同性板中的兰姆波，采用comsol livelink with matlab(calculating lamb wave in isotropic plate, using comsol livelink with matlab)

说明：  该程序为了实现OFDM, BPSK等信号的能量检测。(In order to realize the energy detection of OFDM, BPSK and other signals.)

LTE--A最新标准912系列，对于研究LTE-A系统非常有用(LTE- A New Standard 912 series, for the study of LTE-A system is useful)

denoise In BayesShrink[5] we determine the threshold for each subband assuming a Generalized Gaussian Distribution(GGD) . The GGD is given by GG¾ X ¯ (x) = C(¾ X ¯ )exp¡ [® (¾ X ¯ )jxj]¯ (6) ¡ 1 < x < 1 ¯ > 0, where ® (¾ X ¯ ) = ¾ ¡ 1 X [ ¡ (3=¯ ) ¡ (1=¯ ) ]1=2 and C(¾ X ¯ ) = ¯ ¢ ® (¾ X ¯ ) 2¡ ( 1 ¯ ) and ¡ (t) = R1 0 e¡ uut¡ 1du. The parameter ¾ X is the standard deviation and ¯ is the shape parameter It has been observed[5] that with a shape parameter ¯ ranging from 0.5 to 1, we can describe the the distribution of coefficients in a subband for a large set of natural images.Assuming such a distribution for the wavelet coefficients, we empirically estimate ¯ and ¾ X for each subband and try to find the threshold T which minimizes the Bayesian Risk, i.e, the expected value of the mean square error.

实现信道估计算法的matlab仿真,非常有用(Achieve channel estimation algorithm matlab simulation, very useful)

此matlab例程用于验证离散时间傅里叶变换的调制性质。(Matlab routines used to validate the discrete-time Fourier transform the nature of the modulation.)

a demo function for testing various segmentation algos

《基于MATLAB的高等数学问题求解》 随书附带源程序完整版( Higher mathematics problem solving based on MATLAB with the book comes with source program)

说明：  Numerical Analysis\Numerical Analysis-Numerical Methods Using MATLAB(Numerical AnalysisNumerical Analysis-Numerical Methods Using MATLAB)