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Reconstruction of Signal using Interpolation01:10

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Signal processing techniques are essential for accurately converting continuous signals to digital formats and vice versa. When a continuous signal is sampled with a period T, the resulting sampled signal exhibits replicas of the original spectrum in the frequency domain, spaced at intervals equal to the sampling frequency. To handle this sampled signal, a zero-order hold method can be applied, which creates a piecewise constant signal by retaining each sample's value until the next...
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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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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...
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Image restoration algorithm for terahertz FMCW radar imaging.

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    This study introduces a terahertz (THz) Bessel beam imaging system and restoration algorithm. It significantly enhances depth of field and lateral resolution for non-destructive testing applications.

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    Area of Science:

    • Physics
    • Engineering
    • Optics

    Background:

    • Terahertz (THz) frequency modulation continuous-wave (FMCW) imaging is vital for non-destructive testing.
    • Limitations of conventional THz FMCW real-aperture radar include small depth of field and poor lateral resolution.
    • These limitations hinder high-precision imaging applications.

    Purpose of the Study:

    • To develop an advanced THz FMCW imaging system with improved resolution and depth of field.
    • To introduce a novel image restoration algorithm for THz imaging.
    • To overcome the limitations of traditional Gaussian beam systems.

    Main Methods:

    • Implementation of a 150-220 GHz FMCW Bessel beam imaging system.
    • Development of a THz image restoration algorithm utilizing local gradients and convolution kernel priors.
    • Testing with resolution targets and semiconductor devices.

    Main Results:

    • The Bessel beam system effectively doubled the depth of field and unified lateral resolution compared to Gaussian beams.
    • The image restoration algorithm enhanced lateral resolution to 2 mm.
    • The system demonstrated improved image quality, mitigating under- or over-restoration issues.

    Conclusions:

    • The proposed 150-220 GHz Bessel beam imaging system offers significant advantages for THz non-destructive testing.
    • The integrated image restoration algorithm further refines image quality and resolution.
    • This approach enhances the applicability of THz imaging for high-precision defect detection and analysis.