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Related Concept Videos

Bandpass Sampling01:17

Bandpass Sampling

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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....
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Sampling Continuous Time Signal01:11

Sampling Continuous Time Signal

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In signal processing, a continuous-time signal can be sampled using an impulse-train sampling technique, followed by the zero-order hold method. Impulse-train sampling involves the use of a periodic impulse train, which consists of a series of delta functions spaced at regular intervals determined by the sampling period. When a continuous-time signal is multiplied by this impulse train, it generates impulses with amplitudes corresponding to the signal's values at the sampling points.
In the...
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Sampling Methods: Overview01:06

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A sample refers to a smaller subset representative of a larger population. In analytical chemistry, studying or analyzing an entire population is often impractical or impossible. Therefore, samples are used to draw inferences and generalize the whole population. The sampling method selects individuals or items from a population to create a sample. Standard sampling methods include random, judgemental, systematic, stratified, and cluster sampling. 
In analytical chemistry, the choice of...
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Upsampling01:22

Upsampling

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Managing signal sampling rates is essential in digital signal processing to maintain signal integrity. A decimated signal, characterized by a reduced frequency range due to its lower sampling rate, can be upsampled by inserting zeros between each sample. This upsampling process expands the original spectrum and introduces repeated spectral replicas at intervals dictated by the new Nyquist frequency. To refine this zero-inserted sequence, it is passed through a lowpass filter with a cutoff...
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Double Resonance Techniques: Overview01:12

Double Resonance Techniques: Overview

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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...
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Aliasing01:18

Aliasing

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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.
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Quasi-light Storage for Optical Data Packets
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Photonic-assisted multi-channel compressive sampling based on effective time delay pattern.

Yunhua Liang, Minghua Chen, Hongwei Chen

    Optics Express
    |November 13, 2013
    PubMed
    Summary
    This summary is machine-generated.

    A novel photonic-assisted compressive sampling system uses wavelength division multiplexing for multi-channel signal acquisition. This method enables high-bandwidth signal recovery using fewer, lower-bandwidth analog-to-digital converters (ADCs).

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    Area of Science:

    • Photonics
    • Signal Processing
    • Electrical Engineering

    Background:

    • Compressive sampling enables signal recovery below the Nyquist rate.
    • Photonic-assisted systems offer high-speed signal processing capabilities.
    • Multi-channel acquisition is crucial for complex signal analysis.

    Purpose of the Study:

    • To propose and experimentally validate a photonic-assisted multi-channel compressive sampling scheme.
    • To analyze the restricted isometry property of the sensing matrix in this system.
    • To demonstrate efficient signal recovery using limited analog-to-digital converters (ADCs).

    Main Methods:

    • Utilizing a single pseudo-random binary sequence (PRBS) source.
    • Employing Wavelength Division Multiplexing (WDM) for time delay generation.
    • Optimizing time delay patterns to satisfy the restricted isometry property.
    • Setting up a four-channel photonic system with 5-GHz bandwidth.

    Main Results:

    • Generated four-channel PRBS signals via fiber-induced time delays.
    • Successfully recovered a 20-tone signal.
    • Achieved faithful recovery using four ADCs with only 120-MHz bandwidth.

    Conclusions:

    • The proposed photonic-assisted compressive sampling scheme is effective for multi-channel signal acquisition.
    • WDM-based time delay is a viable method for creating sensing matrices.
    • This approach significantly reduces the required ADC bandwidth for signal recovery.