funcwin

OFDM无线通信系统中抑制峰均比的研究及其设计原理图(OFDM wireless communications system PAPR suppression research and design schematics)

matlab环境下的低通滤波设计及实现，基于Dsp(matlab environment of low-pass filter design and realization, based on the Dsp)

Matlab圆弧插补，只要给定起点与终点，半径，设点圆心方向以及顺逆时针方向即可实现插补(Matlab circular interpolation, given the starting point and end point, radius, set the direction of the point of the center as well as Shun counterclockwise to achieve interpolation)

说明：  输入地震波，通过Newmark法计算反应的位移和速度，进而导出反应谱。(Response spectrum output)

说明：  MDL源数估计，依照原理亲编亲测。 。。。。。。。。 。。。。。。。(Estimation of the number of signal sources)

本程序是雷达恒虚警模块的仿真程序，可用于雷达CFAR检测(This procedure is a radar CFAR module simulation program can be used for radar CFAR detection )

便于开发Matlab，可以用来安装最新的matlab(Facilitate the development of Matlab can be used to install the latest matlab)

说明：  最优问题求解工具包，通过GA遗传算法，可以求得最优解。(Optimal problem solving toolkit, through the genetic algorithm GA, you can get the optimal solution.)

The fusion of high-spectral/low-spatial resolution multispectral and low-spectral/high-spatial resolution panchromatic satellite images is a very useful technique in various applications of remote sensing. Recently, some studies showed that a wavelet-based image fusion method provides high quality spectral content in fused images. However, most wavelet-based methods yield fused results with spatial resolution that is less than that obtained via the Brovey, IHS, and PCA fusion methods. In this paper, we introduce a new method based on a curvelet transform, which represents edges better than wavelets. Since edges play a fundamental role in image representation, one effective means to enhance spatial resolution is to enhance the edges. The curvelet-based image fusion method provides richer information in the spatial and spectral domains simultaneously. We performed Landsat ETM+ image fusion and found that the proposed method provides optimum fusion results.

本matlab程序用乘子法求解多元模型的最小值（给出初始点和精度要求条件）。(The matlab program for solving the minimum multivariate model using multiplier method (given initial point and precision conditions).)