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Upsampling

Upsampling

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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Related Experiment Video

Updated: Apr 6, 2026

Generation and Coherent Control of Pulsed Quantum Frequency Combs

Generation and Coherent Control of Pulsed Quantum Frequency Combs

Published on: June 8, 2018

Ultra-broadband microwave frequency down-conversion based on optical frequency comb.

Xiao Fang, Ming Bai, Xiuzhu Ye

|July 21, 2015

Summary

This summary is machine-generated.

A new photonic-assisted method uses an optical frequency comb (OFC) to down-convert ultra-broadband microwave signals. This flexible and low-cost technique enables precise measurement of unknown signal frequencies.

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Last Updated: Apr 6, 2026

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Published on: June 8, 2018

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Published on: February 6, 2014

Microwave Photonics Systems Based on Whispering-gallery-mode Resonators

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Published on: August 5, 2013

Area of Science:

Photonics
Microwave Engineering
Optical Signal Processing

Background:

Ultra-broadband microwave signal detection presents challenges in terms of bandwidth and cost.
Existing methods often require complex or expensive hardware for frequency down-conversion.

Purpose of the Study:

To propose and experimentally validate a novel photonic-assisted method for ultra-broadband microwave signal down-conversion.
To demonstrate a flexible, low-cost, and easily implemented solution for microwave signal measurement.

Main Methods:

Utilizing an optical frequency comb (OFC) with a 2GHz frequency spacing.
Down-converting microwave signals (2-20GHz) to intermediate frequency (IF) signals (0-1GHz) using different comb lines.
Retrieving the unknown signal frequency by analyzing the frequency shift of the down-converted IF signal, modulated by switching the OFC frequency spacing.

Main Results:

Experimental verification of the proposed down-conversion method.
Demonstration of successful retrieval of unknown microwave signal frequencies.
Achieved an ultra-broadband down-converting frequency range with a low-frequency tunable microwave source.

Conclusions:

The proposed photonic-assisted method offers a flexible, low-cost, and implementable solution for ultra-broadband microwave signal down-conversion.
This technique effectively enables the detection and measurement of unknown microwave signal frequencies.
The method leverages optical frequency combs for efficient and wide-ranging signal processing.