matlab编写的MSK调制解调

重频参差雷达信号仿真(chongpincenci.m)

论文《As-Projective-As-Possible Image Stitching with Moving DLT》中的拼接算法，对于视差图像拼接具有一定的鲁棒性，但是对特征点数量及其分布均匀性有较高的要求。 The success of commercial image stitching tools often leads to the impression that image stitching is a “solved problem”.The reality, however, is that many tools give unconvincing results when the input photos violate fairly restrictive imaging assumptions;the main two being that the photos correspond to views that differ purely by rotation, or that the imaged scene is effectively planar.Such assumptions underpin the usage of 2D projective transforms or homographies to align photos. In the hands of the casual user,such conditions are often violated, yielding misalignment artifacts or “ghosting” in the results. Accordingly, many existing imagestitching tools depend critically on post-processing routines to conceal ghosting. In this paper, we propose a novel estimationtechnique called Moving Direct Linear Transformation (Moving DLT) that is able to tweak or fine-tune the projective warp toaccommodate the deviations of the input data from the idealized conditions. This produces as-projective-as-possible image alignmentthat significantly reduces ghosting without compromising the geometric realism of perspective image stitching. Our technique thuslessens the dependency on potentially expensive postprocessing algorithms. In addition, we describe how multipleas-projective-as-possible warps can be simultaneously refined via bundle adjustment to accurately align multiple images for largepanorama creation.

实现一个针对《数字信号处理》课程的仿真系统，通过该系统可以演示或验证课程所学的内容。要求程序具有界面，并能实现以下功能：       1）能产生或得到各种数字信号（sin、方波、三角波、语音、噪声及其叠加），叠加噪声信号的噪声强度需要从键盘或鼠标输入，并显示时域波形；       2）具有DFT、DCT、DWT和Hilbert变换功能，并显示变换域波形；       3）具有根据需求设计低通、高通和带通滤波器的功能；       4）分别对产生的数字信号和读入的语音信号，显示时域和频域波形，在信号上叠加噪声（信噪比分别为20dB、10dB和5dB），显示时域和变换域波形，通过滤波器对其降噪，得到输出信号的频域特性和时间序列。

【实例简介】针对论文进行复现，进行全驱动，双电机开发，详细记录了本人开发过程。

【实例简介】

【实例简介】LVQ神经网络的分类——乳腺肿瘤诊断

裂缝区域识别(matlab代码)

对高压直流仿真最为常用的标准Cigre系统进行了说明

【实例简介】 串联型排队论的MATLAB仿真，可以自己设置服务台数，系统容量，到达概率，服务台效率等。最后可以输出系统繁忙概率，平均等待时间，以及各种图表

【实例简介】内附相关论文及Matlab代码