Robot_Homework1

Digital Communication Intel Engineering

介绍了MSK调制解调仿真程序，加入了中频载波，统计了系统的性能。(Introduction of the MSK modulation and demodulation simulation program, joined the IF carrier, the statistical performance of the system.)

ECG signal processing in matlab

Adaptive multi-focus image fusion using a wavelet-based statistical sharpness measure的源代码(Code of paper "Adaptive multi-focus image fusion using a wavelet-based statistical sharpness measure")

说明：  频控阵雷达：概念、原理与应用，综述性的文章与对应的程序，非常好的资料(Frequency Array Radar: Concept, Principle and Application, Summary Articles and Corresponding Procedures, Very Good Information)

本程序是在遥感图象处理中第一步,服务于内定向,用来确定框标图象中框标的重心位置.(this procedure is in remote sensing image processing first step in the services within orientation, standard used to determine frame image frame target focus position.)

线性方程组求解的matlab方法，之中包含了两种迭代法(Solving linear equations matlab methods are iterative method contains two)

国外著名控制专著《extremum seeking control and application》第三章案例源码(matlab code for examples of ch3 in the well-known book《extremum seeking control and application》)

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.

Comparison of two survival curves can be done using a statistical hypothesis test called the log rank test. It is used to test the null hypothesis that there is no difference between the population survival curves (i.e. the probability of an event occurring at any time point is the same for each population).