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Reconstruction of Signal using Interpolation

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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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Related Experiment Video

Updated: Feb 24, 2026

Digital Inline Holographic Microscopy DIHM of Weakly-scattering Subjects

Digital Inline Holographic Microscopy DIHM of Weakly-scattering Subjects

Published on: February 8, 2014

MR image reconstruction via guided filter.

Heyan Huang¹, Hang Yang², Kang Wang³

¹School of Sciences, Changchun University, Changchun, 130012, China. huanghy10@mails.jlu.edu.cn.

Medical & Biological Engineering & Computing

|August 26, 2017

Summary

This summary is machine-generated.

This study introduces an efficient magnetic resonance imaging (MRI) recovery algorithm using a guided filter. The novel method enhances image details and quality, outperforming existing MRI reconstruction techniques.

Failed At:

2026-06-19T13:46:57.605052+00:00

Keywords:

Compressive sensing Guided filter Image reconstruction Magnetic resonance imaging

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