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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...
Gene Evolution - Fast or Slow?02:05

Gene Evolution - Fast or Slow?

The genomes of eukaryotes are punctuated by long stretches of sequence which do not code for proteins or RNAs. Although some of these regions do contain crucial regulatory sequences, the vast majority of this DNA serves no known function. Typically, these regions of the genome are the ones in which the fastest change, in evolutionary terms, is observed, because there is typically little to no selection pressure acting on these regions to preserve their sequences.
In contrast, regions which code...
Gene Evolution - Fast or Slow?02:05

Gene Evolution - Fast or Slow?

The genomes of eukaryotes are punctuated by long stretches of sequence which do not code for proteins or RNAs. Although some of these regions do contain crucial regulatory sequences, the vast majority of this DNA serves no known function. Typically, these regions of the genome are the ones in which the fastest change, in evolutionary terms, is observed, because there is typically little to no selection pressure acting on these regions to preserve their sequences.
In contrast, regions which code...
Methods of Medium Optimization01:28

Methods of Medium Optimization

Optimizing growth media enhances microbial proliferation and maximizes product yield. Statistical experimental design methodologies provide structured and reproducible approaches, offering progressively higher levels of robustness and efficiency.The One-Factor-at-a-Time (OFAT) MethodThe One-Factor-at-a-Time (OFAT) method involves adjusting a single variable while keeping all others constant. However, it cannot detect interactions between variables, often leading to suboptimal outcomes when...
Genetic Screens02:46

Genetic Screens

Genetic screens are tools used to identify genes and mutations responsible for phenotypes of interest. Genetic screens help identify individuals or a group of people at risk of developing  genetic diseases and help them with early intervention, targeted therapy, and reproductive options.
Forward genetic screens
Forward or “classical” genetic screens involve creating random mutations in an organism’s DNA using radiation, mutagens, or insertion of additional bases, which result in visible changes...
Linear Approximation in Time Domain01:21

Linear Approximation in Time Domain

Nonlinear systems often require sophisticated approaches for accurate modeling and analysis, with state-space representation being particularly effective. This method is especially useful for systems where variables and parameters vary with time or operating conditions, such as in a simple pendulum or a translational mechanical system with nonlinear springs.
For a simple pendulum with a mass evenly distributed along its length and the center of mass located at half the pendulum's length, the...

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Related Experiment Video

Updated: Jul 7, 2026

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm
11:53

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm

Published on: December 9, 2012

Optimization of time-domain header processing filters using genetic algorithms.

Mihaela Dinu1, Inuk Kang, Mahmoud Rasras

  • 1Bell Laboratories, Alcatel-Lucent, Holmdel, NJ 07733, USA. mdinu@alcatel-lucent.com

Optics Letters
|February 5, 2008
PubMed
Summary
This summary is machine-generated.

Genetic algorithms optimize header recognition filters using time-delay lines for improved signal discrimination. These filters enhance performance for phase-shift-keyed and amplitude-shift-keyed signals, offering practical implementation on planar lightwave circuits.

Related Experiment Videos

Last Updated: Jul 7, 2026

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm
11:53

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm

Published on: December 9, 2012

Area of Science:

  • Optical communications
  • Signal processing
  • Computational intelligence

Background:

  • Header recognition is crucial for data demultiplexing in optical networks.
  • Existing methods like matched filters have limitations in discrimination and ambiguity.

Purpose of the Study:

  • To apply genetic algorithms for designing optimized time-delay line-based header recognition filters.
  • To improve discrimination against unwanted bit patterns for various modulation schemes.

Main Methods:

  • Utilized genetic algorithms to evolve filter parameters.
  • Employed discrimination of target headers against all other bit patterns as the fitness function.
  • Designed filters based on time-delay lines.

Main Results:

  • Optimized filters demonstrated superior discrimination for phase-shift-keyed (PSK) headers compared to matched filters.
  • Achieved unambiguous time-domain filtering for specific amplitude-shift-keyed (ASK) headers.
  • Demonstrated feasibility of implementing these filters on planar lightwave circuits.

Conclusions:

  • Genetic algorithms are effective optimization tools for header recognition filters.
  • Time-delay line filters offer improved performance and practical implementation possibilities.
  • The developed filters provide enhanced signal discrimination for optical header recognition.