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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...
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:
Parallel Resonance01:23

Parallel Resonance

The parallel RLC circuit is an arrangement where the resistor (R), inductor (L), and capacitor (C) are all connected to the same nodes and, as a result, share the same voltage across them. The parallel RLC circuit is analyzed in terms of admittance (Y), which reflects the ease with which current can flow. The admittance is given by:
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...
Interference and Diffraction02:18

Interference and Diffraction

Interference is a characteristic phenomenon exhibited by waves. When two electromagnetic waves interact with their peaks and troughs coinciding, a resulting wave with enhanced amplitude is produced. This is known as constructive interference. In this case, the two waves interacting are in phase with each other.
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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Design and Characterization Methodology for Efficient Wide Range Tunable MEMS Filters
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Multilayer interference filters with narrow stop bands.

L Young1

  • 1Stanford Research Institute, Menlo Park, California 94025, USA.

Applied Optics
|January 9, 2010
PubMed
Summary
This summary is machine-generated.

This study compares multilayer interference filters for laser hazard elimination. New formulas and a design procedure are presented for narrow stop band filters with specific ripple characteristics.

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Area of Science:

  • Optics
  • Materials Science
  • Optical Engineering

Background:

  • Multilayer interference filters are crucial optical components.
  • Filters with narrow stop bands are needed for applications like laser hazard elimination.
  • Existing filter designs have limitations in controlling transmission characteristics.

Purpose of the Study:

  • To describe and compare various multilayer interference filters.
  • To emphasize filters with narrow stop bands for laser safety.
  • To present new formulas for filter bandwidths and ripple characteristics.

Main Methods:

  • Consideration of four types of quarter-wave and multilayer stacks.
  • Development of new formulas for bandwidths between nulls and equal-ripple points.
  • Derivation of explicit formulas for ripple envelopes and heights.
  • Application of a first-order design procedure based on linear array theory.

Main Results:

  • Formulas are provided for bandwidths between nulls and equal-ripple points for different filter types.
  • Explicit formulas for ripple envelopes and heights are derived.
  • A first-order design procedure is presented and validated with numerical examples.
  • General design criteria are established for filter design.

Conclusions:

  • The study offers a comprehensive comparison of multilayer interference filters.
  • New theoretical tools and design procedures enhance the ability to create filters with specific transmission characteristics.
  • The findings are applicable to the design of filters for laser safety and other applications requiring narrow stop bands.