Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

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...
Op Amp AC Circuits01:18

Op Amp AC Circuits

Within an audio system, the filter circuit plays a pivotal role in processing the amplified audio signal from an amplifier. Its primary function is significantly attenuating signal components with lower frequencies, thereby shaping the audio output. This circuit's operations are examined, focusing on the fundamental filter configuration. This configuration involves an operational amplifier arranged in an inverting setup coupled with resistors (R1 and R2) and a capacitor (C1).
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...
Phase-lead and Phase-lag Controllers01:22

Phase-lead and Phase-lag Controllers

Understanding the working function of different types of controllers can be illustrated with practical analogies, such as adjusting a stereo's volume equalizer. Cranking up the bass involves a phase-lead controller, which functions as a high-pass filter, while increasing the treble uses a phase-lag controller, which acts as a low-pass filter. PD controllers, similar to high-pass filters, enhance the system's response to high-frequency components. PI controllers, akin to low-pass filters, manage...
Filtration00:53

Filtration

Filtration is a physical separation process that involves passing a suspension through a porous medium to separate solids from fluids. During filtration, solids collect on the porous medium while liquids, also collectively known as the filtrate, pass through. The filtration medium is selected based on the filtration purpose, quantity, and nature of the precipitate. The general criteria for a suitable filtering medium are that it is inert, mechanically strong, nonabsorbent toward dissolved...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Efficacy of Infliximab Versus Vedolizumab in the Management of Immune Checkpoint Inhibitor-Induced Colitis: A Systematic Review and Meta-Analysis.

World journal of oncology·2025
Same author

Locality blended next-generation reservoir computing for attention accuracy.

Chaos (Woodbury, N.Y.)·2025
Same author

TAS-102, Irinotecan, and bevacizumab in pre-treated metastatic colorectal cancer (TABAsCO), a phase II clinical trial.

British journal of cancer·2024
Same author

Controlling chaos using edge computing hardware.

Nature communications·2024
Same author

Controlling chaotic maps using next-generation reservoir computing.

Chaos (Woodbury, N.Y.)·2024
Same author

Comparison of ChatGPT and Traditional Patient Education Materials for Men's Health.

Urology practice·2023
Same journal

Exploring mechanisms for reversal of flow in tunicate hearts.

Chaos (Woodbury, N.Y.)·2026
Same journal

State estimation in spatiotemporal chaos via low-rank StatFEM.

Chaos (Woodbury, N.Y.)·2026
Same journal

Universal response functions in driven dissipative tunneling dynamics.

Chaos (Woodbury, N.Y.)·2026
Same journal

A network-based approach to characterize the dynamics of the coupling field of thermoacoustic oscillators in annular geometry.

Chaos (Woodbury, N.Y.)·2026
Same journal

Data-driven soliton manifold approximations for dark and bright waves: Some prototypical 1D case examples.

Chaos (Woodbury, N.Y.)·2026
Same journal

Gap junction architecture and synchronization clusters in the thalamic reticular nuclei.

Chaos (Woodbury, N.Y.)·2026
See all related articles

Related Experiment Video

Updated: May 18, 2026

X-ray Beam Induced Current Measurements for Multi-Modal X-ray Microscopy of Solar Cells
10:16

X-ray Beam Induced Current Measurements for Multi-Modal X-ray Microscopy of Solar Cells

Published on: August 20, 2019

A pseudo-matched filter for chaos.

Seth D Cohen1, Daniel J Gauthier

  • 1Department of Physics, Duke University, Durham, North Carolina 27708, USA.

Chaos (Woodbury, N.Y.)
|October 2, 2012
PubMed
Summary
This summary is machine-generated.

Researchers developed a pseudo-matched filter for chaotic waveforms, offering a high-speed alternative to existing matched filters. While slightly less effective in signal-to-noise ratio, it shows promise for radar applications.

More Related Videos

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

Generation and Coherent Control of Pulsed Quantum Frequency Combs
06:42

Generation and Coherent Control of Pulsed Quantum Frequency Combs

Published on: June 8, 2018

Related Experiment Videos

Last Updated: May 18, 2026

X-ray Beam Induced Current Measurements for Multi-Modal X-ray Microscopy of Solar Cells
10:16

X-ray Beam Induced Current Measurements for Multi-Modal X-ray Microscopy of Solar Cells

Published on: August 20, 2019

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

Generation and Coherent Control of Pulsed Quantum Frequency Combs
06:42

Generation and Coherent Control of Pulsed Quantum Frequency Combs

Published on: June 8, 2018

Area of Science:

  • Nonlinear Dynamics
  • Signal Processing
  • Chaos Theory

Background:

  • Matched filters enhance signal-to-noise ratio (SNR) for signals.
  • Previous work derived a matched filter for chaotic waveforms from a piecewise-linear system.
  • This system's binary symbolic dynamics aid noise-robust correlations.

Purpose of the Study:

  • To introduce and evaluate a pseudo-matched filter for chaotic waveforms.
  • To compare its performance against the established matched filter.
  • To assess its suitability for high-speed applications like radar.

Main Methods:

  • A pseudo-matched filter was designed, comprising a notch filter and a first-order low-pass filter.
  • Performance was quantitatively assessed using correlation functions.
  • Signal-to-noise ratios were compared between the matched and pseudo-matched filters.

Main Results:

  • The pseudo-matched filter operates similarly to the original matched filter.
  • On average, the pseudo-matched filter achieved a correlation SNR 2.0 dB below the matched filter.
  • The pseudo-matched filter is realizable at high speeds exceeding 1 GHz.

Conclusions:

  • The pseudo-matched filter is a viable, high-speed alternative for processing chaotic waveforms.
  • Despite a slight SNR reduction, its ease of implementation at high frequencies is advantageous.
  • Potential applications include high-speed radar systems utilizing chaotic signals.