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quadrature sinusoidal signal  (MathWorks Inc)


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    Structured Review

    MathWorks Inc quadrature sinusoidal signal
    ( a ) A single-cycle 10.100 M Hz <t>quadrature</t> <t>sinusoidal</t> signal with exponential decay envelope employed in the simulation. ( b ) FFT spectrum of an 8192-point concatenated time-domain signal incorporating random amplitude noise and random frequency deviation: raw data, filtered output, and fitting results.
    Quadrature Sinusoidal Signal, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/quadrature+sinusoidal+signal/pmc12194820-45-81-91
    Average 90 stars, based on 1 article reviews
    quadrature sinusoidal signal - by Bioz Stars, 2026-10
    90/100 stars

    Images

    1) Product Images from "Spectrum Fitting Approach for Passive Wireless SAW Sensor Interrogation Using Software-Defined Radio"

    Article Title: Spectrum Fitting Approach for Passive Wireless SAW Sensor Interrogation Using Software-Defined Radio

    Journal: Micromachines

    doi: 10.3390/mi16060656

    ( a ) A single-cycle 10.100 M Hz quadrature sinusoidal signal with exponential decay envelope employed in the simulation. ( b ) FFT spectrum of an 8192-point concatenated time-domain signal incorporating random amplitude noise and random frequency deviation: raw data, filtered output, and fitting results.
    Figure Legend Snippet: ( a ) A single-cycle 10.100 M Hz quadrature sinusoidal signal with exponential decay envelope employed in the simulation. ( b ) FFT spectrum of an 8192-point concatenated time-domain signal incorporating random amplitude noise and random frequency deviation: raw data, filtered output, and fitting results.

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    Related Articles

    Generated:

    Article Title: Spectrum Fitting Approach for Passive Wireless SAW Sensor Interrogation Using Software-Defined Radio.
    Article Snippet: .. Figure 2 visualizes the theoretical analysis above, where Figure 2a is a single-period 256-point 10.100 MHz quadrature sinusoidal signal with an exponentially decaying envelope generated in MATLAB R2022b that simulates the SAW echo signal in IF band, and Figure 2b is the FFT spectrum of the 8192-point concatenated signal; each segment of the concatenated signal incorporates random amplitude noise and random frequency deviation. ..

    Article Title: Spectrum Fitting Approach for Passive Wireless SAW Sensor Interrogation Using Software-Defined Radio
    Article Snippet: .. Taking the logarithm of the spectral amplitude yields a downward-opening parabola: (6) ln p ( f ) = − 1 2 ln ( 2 π σ 2 ) − ( f − μ ) 2 2 σ 2 Therefore, performing a quadratic fit on the logarithmic spectrum, the parabola vertex corresponds to the mean μ , which in turn represents the estimated frequency f 0 ^ . visualizes the theoretical analysis above, where a is a single-period 256-point 10.100 M Hz quadrature sinusoidal signal with an exponentially decaying envelope generated in MATLAB R2022b that simulates the SAW echo signal in IF band, and b is the FFT spectrum of the 8192-point concatenated signal; each segment of the concatenated signal incorporates random amplitude noise and random frequency deviation. ..



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    MathWorks Inc quadrature sinusoidal signal
    ( a ) A single-cycle 10.100 M Hz <t>quadrature</t> <t>sinusoidal</t> signal with exponential decay envelope employed in the simulation. ( b ) FFT spectrum of an 8192-point concatenated time-domain signal incorporating random amplitude noise and random frequency deviation: raw data, filtered output, and fitting results.
    Quadrature Sinusoidal Signal, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/quadrature+sinusoidal+signal/pmc12194820-45-81-91
    Average 90 stars, based on 1 article reviews
    quadrature sinusoidal signal - by Bioz Stars, 2026-10
    90/100 stars
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    ( a ) A single-cycle 10.100 M Hz quadrature sinusoidal signal with exponential decay envelope employed in the simulation. ( b ) FFT spectrum of an 8192-point concatenated time-domain signal incorporating random amplitude noise and random frequency deviation: raw data, filtered output, and fitting results.

    Journal: Micromachines

    Article Title: Spectrum Fitting Approach for Passive Wireless SAW Sensor Interrogation Using Software-Defined Radio

    doi: 10.3390/mi16060656

    Figure Lengend Snippet: ( a ) A single-cycle 10.100 M Hz quadrature sinusoidal signal with exponential decay envelope employed in the simulation. ( b ) FFT spectrum of an 8192-point concatenated time-domain signal incorporating random amplitude noise and random frequency deviation: raw data, filtered output, and fitting results.

    Article Snippet: Taking the logarithm of the spectral amplitude yields a downward-opening parabola: (6) ln p ( f ) = − 1 2 ln ( 2 π σ 2 ) − ( f − μ ) 2 2 σ 2 Therefore, performing a quadratic fit on the logarithmic spectrum, the parabola vertex corresponds to the mean μ , which in turn represents the estimated frequency f 0 ^ . visualizes the theoretical analysis above, where a is a single-period 256-point 10.100 M Hz quadrature sinusoidal signal with an exponentially decaying envelope generated in MATLAB R2022b that simulates the SAW echo signal in IF band, and b is the FFT spectrum of the 8192-point concatenated signal; each segment of the concatenated signal incorporates random amplitude noise and random frequency deviation.

    Techniques: