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TV 信号解码
- The purpose of a comb filter is to separate a composite video signal's luminance (Y) information from its color (C) information. There are several ways to perform Y/C separation and comb filters are the most common. There are different types of comb
dm642.ZIP
- 在本文中，我們首先實作了 一個針對壓縮視訊（像是 H.264/AVC）之畫面解析度 改善 的方法。接著，我們分析這個方法的模擬結果。-In this thesis, we first implement a spatial resolution enhancement algorithm for H.264/AVC compressed videos. Based on the analysis of the simulation results, we ide
UML-OOA-D
- UML资料介绍 UML 全称为 Unified Modeling Language 由Grady Booch,Jim Rumbaugh和Ivar Jacobson发起 UML 吸取了以下方法的精华： 对象建模 数据建模 (实体关系图) 商业建模 (工作流) UML is the standard language for visualizing, specifying, constructing, and documenting the artifacts of a
e-book_UMLApplied.pdf
- The Unified Modelling Language, or the UML, is a graphical modelling language that provides us with a syntax for describing the major elements (called artifacts in the UML) of software systems. In this course, we will explore the main aspects of
YCSeparationBasics
- TV YC 分离 解码原理 介绍，比较基础，适合初学者参考用-The purpose of a comb filter is to separate a composite video signal s luminance (Y) information from its color (C) information. There are several ways to perform Y/C separation and comb filters are the most common. The
Copy-of-Claytronics
- Claytronics,This introduces a new and yet to be properly explored branch of technology, The Programmable Matter. Programmable Matter is a technology that enables us to control and manipulate 3‐dimensional physical artifacts. It is a method which brin
artifactsCT
- to remove artifacts and other types of noise in computerized tomography
CT
- CT系统的射线硬化校正，Iterative correction of beam hardening artifacts in CT-Iterative correction of beam hardening artifacts in CT
sdarticle
- EMG and EOG artifacts in brain computer interface systems: A survey
Video-Error-Detection
- This paper represents a new algorithm to measure the blocking artifacts of videos by analyzing the distortions of local properties of image signals like dominant edge magnitude and direction.
FUZZY-FILTER-FOR-ARTIFACTS-REDUCTION-IN-COMPRESSE
- document on fuzzy filtering
URSI_GASS_2011_short
- Compressed sensing, a method which relies on sparsity to reconstruct signals with relatively few measurements, has the potential to greatly improve observation of distributed radar targets. We extend the theoretical work of others by investigatin
Channel-Division-drak-image-enhancement
- A content-aware algorithm that enhances dark images, sharpens edges, reveals details in textured regions, and preserves the smoothness of flat regions is proposed. The algorithm produces an ad hoc transformation for each image, adapting the mapping f
Scrum-Guide
- Scrum is a framework for developing and sustaining complex products. This Guide contains the definition of Scrum. This definition consists of Scrum’s roles, events, artifacts, and the rules that bind them together. Ken Schwaber and Jeff Sutherl
New-iris-recognition-method-for-noisy-iris-images
- When capturing an iris image under unconstrained conditions and without user cooperation, the image quality can be highly degraded by poor focus, off-angle view, motion blur, specular reflection (SR), and other artifacts. The noisy iris images in
wavelet-motion-interference
- 运用小波模极大值滤波算法消除光电容积脉搏波中的运动干扰,主要采用小波的算法，进行信号分解，去除干扰信号的运动伪像-Wavelet modulus maxima filtering algorithms eliminate photoelectric volume pulse wave motion disturbances, mainly wavelet algorithms for signal decomposition, removing the motion artifacts inte
motion-artifact-suppression-pulse
- 基于可见光成像设备抑制运动伪差的脉搏波及心率检测技术研究,研究和比较了多种运动伪像算法，从而保证能够获取更好更准确的分析。-Based visible imaging device motion artifact suppression pulse spread heart rate detection technology research, study and compare a wide range of motion artifacts algorithm, thus ensuring
Chapter6-ArtifactsoftheProcess-1
- Artifacts of the Process Lecture 3 SSD10
removal-artifacts--EEG-
- 通过小波分析和独立分量分析来去除脑电信号中的运动伪迹，有很好的参考价值。-Wavelet analysis and independent component analysis to remove EEG motion artifact, a good reference value.(Robust removal of short-duration artifacts in long neonatal EEG recordings using wavelet-enhanced ICA and
cadcam_projectlist
- measured with the OHR sensor seems to be equivalent to the heart rate derived fromautomatic ECG analysis,withmean differencesmostly below two beats per minute. The variation in differences between both methods, however, is high during wakefulne