Jove
Visualize
Contact Us

Related Concept Videos

IR Spectrometers01:25

IR Spectrometers

There are two main infrared (IR) spectrophotometers: dispersive IR spectrometers and Fourier transform infrared (FTIR) spectrometers. In a dispersive IR spectrometer, a beam of infrared radiation produced by a hot wire is divided into two parallel equal-intensity beams using mirrors. One beam passes through the sample, while another is a reference beam. The beams then move through the monochromator, which separates the radiations into a continuous spectrum of different frequencies. 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...
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:
Design Example01:23

Design Example

The innovation of touch-tone telephony revolutionized the telecommunications industry by replacing the traditional rotary dial with a dual-tone multi-frequency (DTMF) signaling system. This system uses a matrix-style keypad with buttons arranged in four rows and three columns, creating 12 distinct signals each assigned to a pair of frequencies. Each button press results in a simultaneous generation of two sinusoidal tones – one from a low-frequency group (697 to 941 Hz) and one from a...
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...
Upsampling01:22

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...

You might also read

Related Articles

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

Sort by
Same author

Electrooptic control of the modal distribution in a silicate fiber.

Optics express·2022
Same author

Comparison of frequency-based techniques for assessment of baroreceptor sensitivity and heart rate variability.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2017
Same author

Fabricating Nanoporous Silica Structure on D-Fibres through Room Temperature Self-Assembly.

Materials (Basel, Switzerland)·2017
Same author

Propagation of polarized waves through bounded composite materials.

Applied optics·2017
Same author

Design considerations for short-wavelength operation of 790-nm-pumped Tm-doped fibers.

Applied optics·2009
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 Experiment Video

Updated: May 22, 2026

Fabrication Procedures and Birefringence Measurements for Designing Magnetically Responsive Lanthanide Ion Chelating Phospholipid Assemblies
09:38

Fabrication Procedures and Birefringence Measurements for Designing Magnetically Responsive Lanthanide Ion Chelating Phospholipid Assemblies

Published on: January 3, 2018

Birefringent filter synthesis by use of a digital filter design algorithm.

Rui Hong Chu1, Graham Town

  • 1University of Sydney, School of Electrical and Information Engineering, NSW, Australia.

Applied Optics
|June 21, 2002
PubMed
Summary

This study introduces an efficient method for designing birefringent filters using digital and layer-peeling algorithms. The technique precisely controls spectral response for applications in optical filtering.

More Related Videos

In Situ Measurement of Vacuum Window Birefringence using 25Mg+ Fluorescence
07:03

In Situ Measurement of Vacuum Window Birefringence using 25Mg+ Fluorescence

Published on: June 13, 2020

A Multimodal Wide-Field Fourier-Transform Raman Microscope
06:48

A Multimodal Wide-Field Fourier-Transform Raman Microscope

Published on: December 30, 2025

Related Experiment Videos

Last Updated: May 22, 2026

Fabrication Procedures and Birefringence Measurements for Designing Magnetically Responsive Lanthanide Ion Chelating Phospholipid Assemblies
09:38

Fabrication Procedures and Birefringence Measurements for Designing Magnetically Responsive Lanthanide Ion Chelating Phospholipid Assemblies

Published on: January 3, 2018

In Situ Measurement of Vacuum Window Birefringence using 25Mg+ Fluorescence
07:03

In Situ Measurement of Vacuum Window Birefringence using 25Mg+ Fluorescence

Published on: June 13, 2020

A Multimodal Wide-Field Fourier-Transform Raman Microscope
06:48

A Multimodal Wide-Field Fourier-Transform Raman Microscope

Published on: December 30, 2025

Area of Science:

  • Optics and Photonics
  • Optical Engineering
  • Materials Science

Background:

  • Birefringent filters are crucial optical components for spectral manipulation.
  • Designing filters with specific spectral responses and low sidelobes is challenging.
  • Existing methods may lack efficiency or precision in parameter determination.

Purpose of the Study:

  • To present an efficient method for designing birefringent filters with specified spectral responses.
  • To utilize digital filter design and layer-peeling algorithms for filter synthesis.
  • To demonstrate the method's effectiveness for bandpass filters with low sidelobes.

Main Methods:

  • Employs the Remez algorithm for optimal polynomial approximation of the desired finite impulse response.
  • Utilizes a layer-peeling algorithm to compute the birefringent filter's structural parameters.
  • Applies the design to a 14-section bandpass filter with a target of -40 dB sidelobes.

Main Results:

  • Successfully designed a 14-section birefringent bandpass filter.
  • Achieved sidelobes below -40 dB, demonstrating high performance.
  • The method provides an efficient route to precise spectral control.

Conclusions:

  • The presented method offers an efficient and accurate approach for designing complex birefringent filters.
  • The combination of digital and layer-peeling algorithms enables precise control over spectral characteristics.
  • The study highlights the potential for advanced optical filter design with minimal error impact.