欢迎大家下载学习,Pisarenko谐波分解算法
上传时间: 2018-10-25
上传用户:wikey
已知信号x(t)=0.15sin(2*pi*f1*t)+sin(2*pi*f2*t)-0.1sin(2*pi*f3*t),其中,f1=1Hz,f2=2Hz,f3=3Hz。采样频率为32Hz。(1)做32点FFT,求出其幅度谱;(2)做64点FFT,求出其幅度谱。
上传时间: 2019-01-04
上传用户:知复何言
Qt 5.9 C++开发指南 一书的配套源代码。
上传时间: 2019-02-14
上传用户:dbgice
程序可以实现,鼠标框选目标之后,跟踪所选目标 操作过程: 1:运行程序 2:选定方式,例如输入1.选定视频流 3:选中视频显示框 4:输入字符p 5:鼠标框选区域 6:输入字符p,实现跟踪
标签: KCFdemo
上传时间: 2019-02-18
上传用户:wsfgq
系统辨识的实验代码,最小二乘法程序包含所有源代码,用C++写的
上传时间: 2019-02-23
上传用户:orange_
学生成绩管理系统的工程实现, 通过C++编程语言实现,可以记录、查询和删改学生成绩程序
上传时间: 2019-03-19
上传用户:YANG123
Reconstruction- and example-based super-resolution (SR) methods are promising for restoring a high-resolution (HR) image from low-resolution (LR) image(s). Under large magnification, reconstruction-based methods usually fail to hallucinate visual details while example-based methods sometimes introduce unexpected details. Given a generic LR image, to reconstruct a photo-realistic SR image and to suppress artifacts in the reconstructed SR image, we introduce a multi-scale dictionary to a novel SR method that simultaneously integrates local and non-local priors. The local prior suppresses artifacts by using steering kernel regression to predict the target pixel from a small local area. The non-local prior enriches visual details by taking a weighted average of a large neighborhood as an estimate of the target pixel. Essentially, these two priors are complementary to each other. Experimental results demonstrate that the proposed method can produce high quality SR recovery both quantitatively and perceptually.
标签: Super-resolution Multi-scale Dictionary Single Image for
上传时间: 2019-03-28
上传用户:fullout
CM3权威指南CnR2.pdf,编程参考,Joseph Yiu 著,宋岩 译
上传时间: 2019-04-02
上传用户:ytt0801
can功能测试代码,c++编写,测试通过的,欢迎下载使用
上传时间: 2019-04-19
上传用户:diannao720
关于maxwell如何入门的资料,有助于小白入门进行基础的学习
上传时间: 2019-04-24
上传用户:19802115939