dianbiandaitiaozhijietiao

Solutiona Manual Andrea Goldsmith Wireless Communications

对心电信号的基线消除，包含ECG信号和源代码，并在matlab中仿真，包含中值滤波，高通滤波，整系数滤波，和小波变换！都是一些简单的经典的方法(Elimination of baseline ECG, ECG signals and includes source code and simulation in matlab, including median filtering, high-pass filter, the filter with integer coefficients, and wavelet transform! Are some simple classical methods)

Estimating the pose of head using SIFT and POSIT

说明：  该程序运行多次，并输出合法解及其图形输出的图形，图形是在正常情况下的(Run the program several times, and output a legitimate solution and its graphics output graphics, graphics in the normal circumstances of)

《Matlab在振动信号处理中的应用》书上所有程序代码，担保完整，担保全部。(" Matlab vibration signal processing books on all program code, guarantee integrity guarantees all.)

电波传播中的绕射分析，需要给出地面剖面貌一新模型(the diffraction loss of the radio propergation)

旅行商问题，即TSP问题（Travelling Salesman Problem）又译为旅行推销员问题、货郎担问题，是数学领域中著名问题之一。假设有一个旅行商人要拜访n个城市，他必须选择所要走的路径，路径的限制是每个城市只能拜访一次，而且最后要回到原来出发的城市。路径的选择目标是要求得的路径路程为所有路径之中的最小值。(Traveling Salesman Problem, or TSP problem (Travelling Salesman Problem) also translated as the traveling salesman problem, traveling salesman problem is one of the well-known problems in the field of mathematics. Suppose you have a travel business to visit n cities, he must choose which path to go, limiting the path is to visit each city only once, and the last to return to the original departure city. Select the destination path is the requirement for the minimum distance path was among all paths.)

说明：  求两个方波信号的卷积，对两个方波信号进行卷积计算，通过比较输入的两个信号和输出地卷机信号来说明卷积。(Demand convolution of two square wave signals, the convolution of two square wave signals calculated by comparing two input signals and output signals to paper machine to illustrate convolution.)

本文介绍了一个基于matlab和声卡的虚拟信号发生器的代码实现(This paper introduces a sound card based on matlab and virtual signal generator code realization )

关于matlab计算的代码，主要为拉曼激光器输出与输入的关系，希望大家下载啊(Calculated on the matlab code, mainly for the relationship between the Raman laser output and input, I hope you download ah！)