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Related Concept Videos

NMR Spectrometers: Radiofrequency Pulses and Pulse Sequences01:17

NMR Spectrometers: Radiofrequency Pulses and Pulse Sequences

A pulse is a short burst of radio waves distributed over a range of frequencies that simultaneously excites all the nuclei in the sample. Upon passing a radio frequency pulse along the x-axis, the nuclei absorb energy corresponding to their Larmor frequencies and achieve resonance. This shifts the net magnetization vector from the z-axis toward the transverse plane. This angle of rotation of the magnetization vector, or the flip angle, is proportional to the duration and intensity of the pulse.
Double Resonance Techniques: Overview01:12

Double Resonance Techniques: Overview

Double resonance techniques in Nuclear Magnetic Resonance (NMR) spectroscopy involve the simultaneous application of two different frequencies or radiofrequency pulses to manipulate and observe two distinct nuclear spins. One important application of double resonance is spin decoupling, which selectively suppresses coupling with one type of nucleus while observing the NMR signal from another nucleus, simplifying the spectrum and enhancing resolution.
Spin decoupling is usually achieved by...
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...
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...
Discrete Fourier Transform01:15

Discrete Fourier Transform

The Discrete Fourier Transform (DFT) is a fundamental tool in signal processing, extending the discrete-time Fourier transform by evaluating discrete signals at uniformly spaced frequency intervals. This transformation converts a finite sequence of time-domain samples into frequency components, each representing complex sinusoids ordered by frequency. The DFT translates these sequences into the frequency domain, effectively indicating the magnitude and phase of each frequency component present...
Sampling Theorem01:15

Sampling Theorem

In signal processing, the analysis of continuous-time signals, denoted as x(t), often involves sampling techniques to convert these signals into discrete-time signals. This process is essential for digital representation and manipulation. A critical component in sampling is the train of impulses, characterized by the sampling interval and the sampling frequency. The relationship between these parameters and the original signal's properties dictates the success of the sampling process.

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Related Experiment Video

Updated: Jun 19, 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

Data compression in frequency-selective materials using frequency-swept excitation pulses.

F R Graf, B H Plagemann, E S Maniloff

    Optics Letters
    |October 30, 2009
    PubMed
    Summary

    We compressed photon echoes in frequency-selective materials using frequency-swept pulses. This technique shows potential for reducing optical data stream durations.

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    Area of Science:

    • Quantum optics
    • Solid-state spectroscopy
    • Photonics

    Background:

    • Photon echoes are coherent optical phenomena used in spectroscopy.
    • Frequency-selective materials enable manipulation of light pulses.
    • Temporal compression of optical signals is crucial for high-speed data processing.

    Purpose of the Study:

    • To demonstrate temporal compression of photon echoes.
    • To investigate the use of frequency-swept excitation pulses for this purpose.
    • To explore applications in optical data stream reduction.

    Main Methods:

    • Utilizing frequency-swept excitation pulses.
    • Generating and analyzing two- and three-pulse photon echoes.
    • Experimenting with Pr(3+):Y(2)SiO(5) as the frequency-selective material.

    Main Results:

    • Successfully achieved temporal compression of photon echoes.
    • Experimental results in Pr(3+):Y(2)SiO(5) align with theoretical predictions.
    • Demonstrated the feasibility of temporal reduction for optical data streams.

    Conclusions:

    • Frequency-swept excitation pulses effectively compress photon echoes.
    • Pr(3+):Y(2)SiO(5) is a suitable material for this phenomenon.
    • The technique offers a promising approach for optical data stream manipulation.