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Related Concept Videos

Passive Filters01:27

Passive Filters

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 frequency...
Bandpass Sampling01:17

Bandpass Sampling

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. The spectrum...
Sampling Continuous Time Signal01:11

Sampling Continuous Time Signal

In signal processing, a continuous-time signal can be sampled using an impulse-train sampling technique, followed by the zero-order hold method. Impulse-train sampling involves the use of a periodic impulse train, which consists of a series of delta functions spaced at regular intervals determined by the sampling period. When a continuous-time signal is multiplied by this impulse train, it generates impulses with amplitudes corresponding to the signal's values at the sampling points.
In the...
Active Filters01:25

Active Filters

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:
Reconstruction of Signal using Interpolation01:10

Reconstruction of Signal using Interpolation

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 sampling...
Continuous -time Fourier Transform01:11

Continuous -time Fourier Transform

The Fourier series is instrumental in representing periodic functions, offering a powerful method to decompose such functions into a sum of sinusoids. This technique, however, necessitates modification when applied to nonperiodic functions. Consider a pulse-train waveform consisting of a series of rectangular pulses. When these pulses have a finite period, they can be accurately represented by a Fourier series. Yet, as the period approaches infinity, resulting in a single, isolated pulse, the...

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Microwave Photonics Systems Based on Whispering-gallery-mode Resonators
12:18

Microwave Photonics Systems Based on Whispering-gallery-mode Resonators

Published on: August 5, 2013

Single passband microwave photonic filter using continuous-time impulse response.

Thomas X H Huang1, Xiaoke Yi, Robert A Minasian

  • 1School of Electrical and Information Engineering, University of Sydney, Sydney, NSW, Australia. thomas.huang@sydney.edu.au

Optics Express
|April 1, 2011
PubMed
Summary
This summary is machine-generated.

A novel microwave photonic signal processor offers high-resolution, tunable, square-top passband filtering. This advanced design optimizes performance by integrating dispersion-induced carrier suppression and RF decay effects for improved microwave filter applications.

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Area of Science:

  • Photonics and Microwave Engineering
  • Signal Processing

Background:

  • Existing microwave photonic filters often lack high resolution, tunability, or ideal passband shapes.
  • The combined effects of dispersion-induced carrier suppression and RF decay on filter performance are not fully understood.

Purpose of the Study:

  • To present a single passband microwave photonic signal processor with continuous time impulse response.
  • To develop a systematic model for designing microwave photonic filters with arbitrary spectrum slice shapes.
  • To investigate and utilize the combined effects of dispersion-induced carrier suppression and RF decay for optimized filter performance.

Main Methods:

  • Development of a systematic model for single passband microwave photonic filters.
  • Analysis of dispersion-induced carrier suppression and RF decay effects.
  • Design and synthesis of frequency response for arbitrary spectrum slice shapes.

Main Results:

  • Demonstration of a high-order microwave filter with high resolution and single passband filtering.
  • Achieved square-top passband shape and tunability.
  • Exhibited filter reconfiguration capabilities.

Conclusions:

  • The presented microwave photonic signal processor offers significant improvements in resolution, passband shape, and tunability.
  • The systematic model effectively utilizes carrier suppression effects for enhanced filter performance.
  • This work represents a novel approach to designing high-performance microwave photonic filters.