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Related Concept Videos

Bandpass Sampling01:17

Bandpass Sampling

245
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....
245
Passive Filters01:27

Passive Filters

592
Passive filters are utilized to shape the frequency spectrum of signals across a diverse array of applications. These filters, using only passive elements like resistors (R), inductors (L), and capacitors (C), are capable of selectively allowing or blocking certain frequency ranges without the need for external power sources.
Low-Pass Filters
Low-pass filters are designed to transmit signals with frequencies lower than the cutoff frequency, ωc, and attenuate those above it. The cutoff...
592
Active Filters01:25

Active Filters

909
Active filters are electronic circuits that use operational amplifiers (op-amps), resistors, and capacitors to filter out unwanted frequency components from a signal. A first-order low-pass active filter is designed to pass signals with a frequency lower than a certain cutoff frequency and attenuate frequencies higher than that cutoff frequency. The transfer function for a first-order low-pass active filter is:
909

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Related Experiment Video

Updated: Aug 25, 2025

Determination of the Excitation and Coupling Rates Between Light Emitters and Surface Plasmon Polaritons
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Programmable bandstop filter based on spoof surface plasmon polaritons.

Minran Lu, Lihua Xiao, Binggang Xiao

    Applied Optics
    |October 18, 2022
    PubMed
    Summary
    This summary is machine-generated.

    This study introduces a reconfigurable bandstop filter using programmable spoof surface plasmon polaritons (SSPPs). This device allows real-time control over SPP waves, enabling dynamic adjustments to filter characteristics like center frequency and bandwidth.

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    Area of Science:

    • Electromagnetics and Plasmonics
    • Metamaterials and Nanophotonics
    • Information Science and Digital Logic

    Background:

    • Spoof surface plasmon polaritons (SSPPs) offer strong field confinement, low crosstalk, and minimal loss.
    • Traditional plasmonic devices using SSPPs have fixed functionalities, lacking reconfigurability.
    • Dynamic real-time control of SPP waves is crucial for advanced plasmonic devices.

    Purpose of the Study:

    • To design and demonstrate a dynamic reconfigurable bandstop filter for SPP waves.
    • To achieve real-time control over filter parameters such as center frequency, stopband number, and bandwidth.
    • To integrate principles of information science and digital logic into physical plasmonic devices.

    Main Methods:

    • Utilized programmable SSPPs to create a dynamic reconfigurable bandstop filter.
    • Employed bias voltage programming to control the filter's characteristics.
    • Conducted theoretical simulations and experimental tests to validate performance.

    Main Results:

    • The filter operates effectively across a wideband range from 4 GHz to 22 GHz.
    • Achieved real-time reconstruction of the stop band's center frequency, number, and bandwidth.
    • Demonstrated good transmission performance with a transmission coefficient (S21) above -3 dB.
    • Experimental results closely matched theoretical simulations, confirming device feasibility.

    Conclusions:

    • The proposed programmable SSPP bandstop filter offers dynamic and reconfigurable control of SPP waves.
    • This work successfully bridges information science concepts with physical plasmonic device applications.
    • The developed technology holds potential for advanced reconfigurable electromagnetic devices.