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...
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...
Basic Continuous Time Signals01:22

Basic Continuous Time Signals

Basic continuous-time signals include the unit step function, unit impulse function, and unit ramp function, collectively referred to as singularity functions. Singularity functions are characterized by discontinuities or discontinuous derivatives.
The unit step function, denoted u(t), is zero for negative time values and one for positive time values, exhibiting a discontinuity at t=0. This function often represents abrupt changes, such as the step voltage introduced when turning a car's...
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...
Convolution: Math, Graphics, and Discrete Signals01:24

Convolution: Math, Graphics, and Discrete Signals

In any LTI (Linear Time-Invariant) system, the convolution of two signals is denoted using a convolution operator, assuming all initial conditions are zero. The convolution integral can be divided into two parts: the zero-input or natural response and the zero-state or forced response, with t0 indicating the initial time.
To simplify the convolution integral, it is assumed that both the input signal and impulse response are zero for negative time values. The graphical convolution process...
Convolution Properties II01:17

Convolution Properties II

The important convolution properties include width, area, differentiation, and integration properties.
The width property indicates that if the durations of input signals are T1 and T2, then the width of the output response equals the sum of both durations, irrespective of the shapes of the two functions. For instance, convolving two rectangular pulses with durations of 2 seconds and 1 second results in a function with a width of 3 seconds.
The area property asserts that the area under the...

You might also read

Related Articles

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

Sort by
Same author

Surgery of the Ovaries and Tubes and the Indication Therefor.

Texas medical journal (Austin, Tex.)·2023
Same author

2013 multistate outbreaks of Cyclospora cayetanensis infections associated with fresh produce: focus on the Texas investigations.

Epidemiology and infection·2015
Same author

Two-color imaging by the use of patterned optical filters bonded to focal-plane-array detectors.

Applied optics·2010
Same author

Focal-plane pixel-energy redistribution and concentration by use of microlens arrays.

Applied optics·2010
Same author

Properties of mixed composition Si/ZnSe and ZnSe/LaF(3) infrared optical thin films.

Applied optics·2010
Same author

Antireflection surfaces in silicon using binary optics technology.

Applied optics·2010

Related Experiment Video

Updated: Jun 12, 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

Codeposition of continuous composition rugate filters.

W J Gunning, R L Hall, F J Woodberry

    Applied Optics
    |June 18, 2010
    PubMed
    Summary

    Rugate filters with sinusoidal profiles were created using SiO(2) and TiO(2) codeposition. These filters show two distinct reflection stopbands, indicating successful fabrication of advanced optical thin film structures.

    Area of Science:

    • Optics
    • Materials Science
    • Thin Film Technology

    Background:

    • Rugate filters are advanced optical interference structures characterized by periodic variations in refractive index.
    • These filters are crucial for applications requiring precise wavelength selectivity in optical systems.

    Purpose of the Study:

    • To fabricate and characterize two-wavelength reflection filters using rugate filter technology.
    • To investigate the feasibility of codepositing SiO(2) and TiO(2) for creating sinusoidal refractive index profiles.

    Main Methods:

    • Fabrication of rugate filters via codeposition of silicon dioxide (SiO(2)) and titanium dioxide (TiO(2)).
    • Utilized quartz crystal rate controllers for precise monitoring and control of composition modulation during deposition.
    • Characterization of the fabricated filters, including optical performance analysis and microscopic examination.

    More Related Videos

    Experimental Methods to Study Human Postural Control
    08:12

    Experimental Methods to Study Human Postural Control

    Published on: September 11, 2019

    Related Experiment Videos

    Last Updated: Jun 12, 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

    Experimental Methods to Study Human Postural Control
    08:12

    Experimental Methods to Study Human Postural Control

    Published on: September 11, 2019

    Main Results:

    • Successfully fabricated filters exhibiting two distinct and well-defined reflection stopbands.
    • Confirmed the sinusoidal refractive index profile characteristic of rugate filters.
    • Microscopic analysis revealed a glasslike, homogeneous thin film structure with minimal microstructure.

    Conclusions:

    • Codeposition of SiO(2) and TiO(2) is an effective method for fabricating two-wavelength rugate filters.
    • Quartz crystal rate controllers provide accurate control over the thin film deposition process.
    • The resulting filters possess desirable optical properties and structural integrity for optical applications.