関連する実験動画

Updated: Aug 5, 2026

Enabling High Grayscale Resolution Displays and Accurate Response Time Measurements on Conventional Computers
06:50

Enabling High Grayscale Resolution Displays and Accurate Response Time Measurements on Conventional Computers

Published on: February 29, 2012

色と光度:独立した周波数シフト

O E Favreau, P Cavanagh

    Science (New York, N.Y.)
    |May 15, 1981
    PubMed
    まとめ

    視覚処理は,色 (色差) と明るさ (明るさ) の情報を分離し,各チャネルは空間周波数を独立して分析します. 色の変化は両眼間で共有されず,異なる視覚経路を示唆しています.

    さらに関連する動画

    Characterization of Anisotropic Leaky Mode Modulators for Holovideo09:36

    Characterization of Anisotropic Leaky Mode Modulators for Holovideo

    Published on: March 19, 2016

    High-Accuracy Correction of 3D Chromatic Shifts in the Age of Super-Resolution Biological Imaging Using Chromagnon08:18

    High-Accuracy Correction of 3D Chromatic Shifts in the Age of Super-Resolution Biological Imaging Using Chromagnon

    Published on: June 16, 2020

    関連する概念動画

    NMR Spectroscopy: Chemical Shift Overview01:15

    NMR Spectroscopy: Chemical Shift Overview

    The position of the absorption signal of a sample is reported relative to the position of the signal of tetramethylsilane (TMS), which is added as an internal reference while recording spectra. The difference between the absorption frequencies of the sample and TMS (in Hz) is divided by the spectrometer operating frequency (in MHz) to obtain a dimensionless quantity called the chemical shift. It is reported on the δ (delta) scale and expressed in parts per million.
    For instance, the proton...
    IR Frequency Region: X–H Stretching01:24

    IR Frequency Region: X–H Stretching

    In IR spectroscopy, signals produced by the X−H bonds (such as C−H, O−H, or N−H) can be observed in the frequency range of  2700–4000 cm–1. The C−H stretching vibration forms sharp bands in the region 2850–3000 cm–1. The presence of the O−H stretching vibration leads to the forming of an absorption band in the frequency range 3650–3200 cm−1. At the same time, N−H stretching can be confirmed by absorption bands in the 3500–3100 cm−1 range. Even though both O−H and N−H bonds vibrate at a similar...
    Scaling01:26

    Scaling

    In designing and analyzing filters, resonant circuits, or circuit analysis at large, working with standard element values like 1 ohm, 1 henry, or 1 farad can be convenient before scaling these values to more realistic figures. This approach is widely utilized by not employing realistic element values in numerous examples and problems; it simplifies mastering circuit analysis through convenient component values. The complexity of calculations is thereby reduced, with the understanding that...
    Properties of Fourier Transform II01:24

    Properties of Fourier Transform II

    The Fourier Transform (FT) is an essential mathematical tool in signal processing, transforming a time-domain signal into its frequency-domain representation. This transformation elucidates the relationship between time and frequency domains through several properties, each revealing unique aspects of signal behavior.
    The Frequency Shifting property of Fourier Transforms highlights that a shift in the frequency domain corresponds to a phase shift in the time domain. Mathematically, if x(t) has...
    Time and frequency -Domain Interpretation of Phase-lead Control01:24

    Time and frequency -Domain Interpretation of Phase-lead Control

    Phase-lead controllers are commonly used in various control systems to enhance response speed and stability. Adjusting the brightness on a television screen offers a practical example of phase-lead control. When contrast is enhanced, a phase-lead controller is employed. Mathematically, phase-lead control is identified when the first parameter is smaller than the second.
    The design of phase-lead control involves the strategic placement of poles and zeros to balance steady-state error and system...
    Transformations of Functions II01:29

    Transformations of Functions II

    Transformations in mathematics alter the position or orientation of a function’s graph while preserving its fundamental shape. One important type of transformation is the horizontal shift, which involves modifying the input variable within a function’s equation. This operation affects where outputs occur along the horizontal axis but does not alter the function’s overall structure.A horizontal shift is achieved by replacing the input variable x with either x + c or x - c, where c is a constant.