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Table Of Contents

  • Algorithms
  • Algorithms by Classification
  • Algorithms by Tool
  • Single Steps
    • Data Cleaning
      • Comprehensive Data Cleaning
      • Data Denoising
        • Brown’s Double Exponential Smoothing
        • Fast Fourier Filter
        • Holt-Winters Double Exponential Smoothing
        • LOWESS
        • Moving Average (Backward)
        • Moving Average (Centered)
        • Moving Average (Forward)
        • Moving Median (Backward)
        • Moving Median (Centered)
        • Moving Median (Forward)
        • Percentile Filter
        • RLOWESS
        • Savitzky-Golay Smoothing
        • Single Exponential Smoothing
        • Weighted Backward Moving Average
        • Weighted Centered Moving Average
        • Weighted Forward Moving Average
      • Handling Improper Values
      • Outlier Detection
    • Data Discretization
    • Data Import”
    • Data Integration
    • Data Reduction
    • Data Transformation
    • Mathematical Computation
  • Single Steps by Classification
  • Reference Processes
  • Changelog

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Handling of Improper Values and Outliers, then Denoising

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Data Denoising with Brown’s Double Exponential Smoothing

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Data Denoising¶

Sub-Categories

  • Brown’s Double Exponential Smoothing
  • Fast Fourier Filter
  • Holt-Winters Double Exponential Smoothing
  • LOWESS
  • Moving Average (Backward)
  • Moving Average (Centered)
  • Moving Average (Forward)
  • Moving Median (Backward)
  • Moving Median (Centered)
  • Moving Median (Forward)
  • Percentile Filter
  • RLOWESS
  • Savitzky-Golay Smoothing
  • Single Exponential Smoothing
  • Weighted Backward Moving Average
  • Weighted Centered Moving Average
  • Weighted Forward Moving Average

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  • previous |
  • Data Processing Compendium - Workflows for Knowledge Exploitation in the Process Industries 2.0 »
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