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Related Concept Videos

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...
Cascaded Op Amps01:16

Cascaded Op Amps

Operational amplifiers (op-amps) are versatile electronic components that can be interconnected in a cascade - one after another in a linear sequence. This cascading is possible due to their infinite input resistance and zero output resistance, allowing them to maintain their input-output relationships even when connected in series.
In a cascaded system, each op-amp is referred to as a stage. The output of one stage drives the input of the subsequent stage. As the input signal passes through...
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...
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...
Sinusoidal Sources01:18

Sinusoidal Sources

Direct current (DC) refers to an electric current that flows in a single direction, maintaining a constant polarity. This is in contrast to alternating current (AC), which periodically changes its direction and magnitude. AC forms the backbone of modern electricity transmission and distribution systems due to its efficient long-distance transmission capabilities.
In homes, the power supplies use sinusoidal sources to provide electricity. These sources generate a voltage that varies sinusoidally...
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...

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Related Experiment Video

Updated: May 27, 2026

Design and Characterization Methodology for Efficient Wide Range Tunable MEMS Filters
15:25

Design and Characterization Methodology for Efficient Wide Range Tunable MEMS Filters

Published on: February 4, 2018

Jammed-array wideband sawtooth filter.

Zhongwei Tan1, Chao Wang, Keisuke Goda

  • 1Institute of Lightwave Technology, Key Lab of All Optical Network & Advanced Telecommunication Network of EMC, Beijing Jiaotong University, Beijing 100044, China.

Optics Express
|November 24, 2011
PubMed
Summary
This summary is machine-generated.

We developed a low-cost, all-optical spectral filter creating a sawtooth pattern without active components. This filter enables fast, sensitive interrogation of fiber Bragg grating sensors and high-frequency waveform generation.

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Area of Science:

  • Photonics
  • Optical Engineering
  • Signal Processing

Background:

  • Traditional spectral filters often require active components, increasing cost and complexity.
  • High-resolution spectral filtering is crucial for advanced sensing and signal generation applications.

Purpose of the Study:

  • To introduce a novel all-optical passive spectral filter with a unique sawtooth output.
  • To demonstrate the filter's utility in fiber Bragg grating sensor interrogation and high-frequency waveform generation.

Main Methods:

  • Utilizing a phased array of virtual light sources and controlled diffraction orders.
  • Implementing partial masking to create a periodic sawtooth spectral pattern.
  • Leveraging the linear frequency-intensity mapping for signal processing.

Main Results:

  • Achieved a high-resolution periodic sawtooth spectral pattern passively.
  • Demonstrated fast and sensitive interrogation of fiber Bragg grating sensor arrays.
  • Generated ultrahigh-frequency electrical sawtooth waveforms.

Conclusions:

  • The developed spectral filter offers a low-cost, passive solution for advanced optical applications.
  • The filter's unique spectral properties enable novel approaches to sensor interrogation and waveform generation.