chap5

BER for QAM modulation in a Rayleigh fading channel with and without transmit beamforming

Support API for core#2 of custom system on chip. Release version

进行emd分解，画边界谱，数字信号处理的基本程序(A basic program for EMD decomposition, boundary spectrum, and digital signal processing)

说明：  rs码基于matlab编码，c语言译码，已验证，为正确代码(rs encoding with matlab,and decoding with c)

Mallat算法分解与重构程序，用db4小波(Mallat algorithm for decomposition and reconstruction process, using DB4 wavelet)

求解约束优化问题的极小值问题，在给定区间内求函数的最优值(Minimum problem solving constrained optimization problems, in the optimal value within a given interval demand function)

LocalbinaryPattern Code

用回声隐藏方法实现数字水印的许多程序，欢迎共享(This is some water echo code,I spend a lot of time on it.)

计算最大Lyapunov指数 使用wolf方法计算 申明:本程序并非本人原创(Calculating the largest Lyapunov index calculated using the wolf has stated: This procedure is not my original)

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.