np-CSMA协议程序

constant modulus algorithm

CurveLab is a collection of Matlab and C++ programs for the Fast Discrete Curvelet Transform in two and three dimensions. For the 2d curvelet transform, the software package includes two distinct implementations: the wrapping-based transform and the transform using unequally-spaced fast Fourier trans- form (USFFT). Both variants are based on the Curvelet transform as described in ‘New Tight Frames of Curvelets and Optimal Representations of Objects with Piecewise C2Sin- gularities’, Comm. Pure Appl. Math. 57 (2004) 219-266. The implementation is also discussed in detail in ‘Fast Discrete Curvelet Transforms’, Multiscale Model. Simul. 5 (2006), no. 3, 861-899. We advise users to become familiar with these references. The two implementations diff er by the choice of spatial grid used to translate curvelets at each scale and angle.(CurveLab is a collection of Matlab and C++ programs for the Fast Discrete Curvelet Transform in two and three dimensions. For the 2d curvelet transform, the software package includes two distinct implementations: the wrapping-based transform and the transform using unequally-spaced fast Fourier trans- form (USFFT). Both variants are based on the Curvelet transform as described in ' New Tight Frames of Curvelets and Optimal Representations of Objects with Piecewise C2Sin-gularities' , Comm. Pure Appl. Math. 57 (2004) 219-266. The implementation is also discussed in detail in ' Fast Discrete Curvelet Transforms' , Multiscale Model. Simul. 5 (2006), no. 3, 861-899. We advise users to become familiar with these references. The two implementations differ by the choice of spatial grid used to translate curvelets at each scale and angle.)

implementation particle swarm optimation in C++

此源码中包含了ButterWorth高通、低通，带通MATLAB仿真,Chebyshev高通、低通，带通MATLAB仿真,还有Notch,Peak MATLAB 仿真(This source includes ButterWorth high-pass, low pass, band pass MATLAB simulation, Chebyshev high-pass, low pass, band pass MATLAB simulation, as well as Notch, Peak MATLAB simulation)

基于小波的图像多尺度方向特征提取，小波可使用 db4 (Based on wavelet multi-scale orientation of the image feature extraction, wavelet can be used DB4)

本代码是在matlab环境下完成的数字图像的直方图均衡化(The code is in the matlab environment to complete the digital image of the histogram equalization)

说明：  离轴数字全息数值重建仿真，基于菲涅尔衍射积分，角谱传递函数等。(Off-axis digital holographic numerical reconstruction simulation)

Image Denoising using sparse transformation.

Recursive least square algorithm

说明：  维纳滤波器的Matlab实现：加噪信号经过滤波器后，恢复原始信号。(Wiener filter by Matlab: plus noise signal through the filter, to restore the original signal.)