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Related Concept Videos

Bandpass Sampling01:17

Bandpass Sampling

In signal processing, bandpass sampling is an effective technique for sampling signals that have most of their energy concentrated within a narrow frequency band. This type of signal is known as a bandpass signal. The key principle of bandpass sampling involves sampling the signal at a rate that is greater than twice the signal's bandwidth to prevent aliasing.
A bandpass signal has a spectrum with a lower frequency limit, denoted as ω1, and an upper frequency limit, denoted as ω2. The spectrum...
IR Spectrum Peak Splitting: Symmetric vs Asymmetric Vibrations01:08

IR Spectrum Peak Splitting: Symmetric vs Asymmetric Vibrations

Identical bonds within a polyatomic group can stretch symmetrically (in-phase) or asymmetrically (out-of-phase). Similar to hydrogen bonding, these vibrations also influence the shape of the IR peak. Generally, asymmetric stretching frequencies are higher than symmetric stretching frequencies. For example, primary amines exhibit two distinct IR peaks between 3300–3500 cm−1 corresponding to the symmetric and asymmetric N-H stretching, while secondary amines exhibit a single stretching vibration...
IR Spectrum01:19

IR Spectrum

When infrared (IR) radiation passes through a molecule, the bonds stretch or bend by absorbing the radiation. This absorption creates the molecule's absorption spectrum, which is the plot of its percentage transmittance versus wavenumber.
Transmittance is defined as the ratio of the radiant power passing through a sample to that from the radiation's source. Multiplying the transmittance by 100 gives the percent transmittance (%T), which varies between 100% (no absorption) and 0% (complete...
Aliasing01:18

Aliasing

Accurate signal sampling and reconstruction are crucial in various signal-processing applications. A time-domain signal's spectrum can be revealed using its Fourier transform. When this signal is sampled at a specific frequency, it results in multiple scaled replicas of the original spectrum in the frequency domain. The spacing of these replicas is determined by the sampling frequency.
If the sampling frequency is below the Nyquist rate, these replicas overlap, preventing the original signal...
IR Frequency Region: Fingerprint Region01:03

IR Frequency Region: Fingerprint Region

IR spectra are divided into two main regions: the diagnostic region and the fingerprint region. The diagnostic region of the spectrum lies above 1500 cm−1. The absorptions resulting from single-bond vibrations of the N–H, C–H, and O–H stretch at higher wavenumbers and appear on the left side of the spectrum. The stretching absorptions of the C≡C and C≡N occur between 2100–2300 cm−1. In contrast, those arising from stretching absorptions of the C=O, C=N, and C=C occur between 1600–1850 cm−1.
The...
IR Spectroscopy: Molecular Vibration Overview01:24

IR Spectroscopy: Molecular Vibration Overview

When Infrared (IR) radiation passes through a covalently bonded molecule, the bonds transition from lower to higher vibrational levels. The fundamental vibrational motions that result in infrared absorption can be classified as stretching or bending vibrations.
Stretching vibrations are vibrational motions that occur along the bond line, changing the bond length or distance between two bonded atoms. They are further distinguished as symmetric or asymmetric. In symmetric stretching, the...

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Updated: Jun 15, 2026

Generation and Coherent Control of Pulsed Quantum Frequency Combs
06:42

Generation and Coherent Control of Pulsed Quantum Frequency Combs

Published on: June 8, 2018

Wide-band spectrum analysis with area modulation.

A Tai, F T Yu

    Applied Optics
    |March 9, 2010
    PubMed
    Summary
    This summary is machine-generated.

    Area modulation offers a solution to nonlinearity issues in optical spectrum analysis, providing results comparable to density modulation. However, this method requires more system space, impacting the space-bandwidth product.

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    A Multimodal Wide-Field Fourier-Transform Raman Microscope
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    A Multimodal Wide-Field Fourier-Transform Raman Microscope
    06:48

    A Multimodal Wide-Field Fourier-Transform Raman Microscope

    Published on: December 30, 2025

    Area of Science:

    • Optics
    • Signal Processing
    • Information Technology

    Background:

    • Nonlinearity in film characteristics poses challenges for optical spectrum analysis using density modulation.
    • Area modulation presents a binary recording format that can circumvent these nonlinearity issues.

    Purpose of the Study:

    • To demonstrate the feasibility of employing area modulation for wide-band signal analysis.
    • To compare the performance and system requirements of area modulation against density modulation.

    Main Methods:

    • Utilizing area modulation for optical spectrum analysis, leveraging its binary recording format.
    • Conducting experiments to analyze wide-band signals and compare results with established density modulation techniques.

    Main Results:

    • Area modulation successfully demonstrated feasibility for wide-band signal analysis.
    • Results obtained via area modulation were found to be similar to those from density modulation.
    • Area modulation necessitates a larger system footprint compared to density modulation.

    Conclusions:

    • Area modulation is a viable alternative to density modulation for optical spectrum analysis, effectively mitigating nonlinearity.
    • The trade-off for improved linearity with area modulation is an increased system space requirement, leading to a reduced space-bandwidth product for a given system size.