Table of Contents

Enum EnvelopeType

Namespace
AiDotNet.Enums
Assembly
AiDotNet.dll

Specifies whether to use an upper or lower envelope in signal processing and data analysis operations.

public enum EnvelopeType

Fields

Lower = 1

Represents the lower envelope that follows the minimum values or valleys in the data.

The lower envelope connects the lowest points in a dataset or signal.

Think of it as drawing a smooth line that touches only the valleys of your data, like tracing the bottoms of valleys in a mountain range.

Use cases:

  • Finding the minimum amplitude of an oscillating signal
  • Creating lower confidence bounds for predictions
  • Identifying support levels in financial data
  • Detecting the lowest points in cyclical data

For example, in environmental monitoring, the lower envelope might represent the minimum temperature readings over a season.

Upper = 0

Represents the upper envelope that follows the maximum values or peaks in the data.

The upper envelope connects the highest points in a dataset or signal.

Think of it as drawing a smooth line that touches only the peaks of your data, like tracing the tops of mountains in a mountain range.

Use cases:

  • Finding the maximum amplitude of an oscillating signal
  • Creating upper confidence bounds for predictions
  • Identifying resistance levels in financial data
  • Detecting the highest points in cyclical data

For example, in audio processing, the upper envelope might represent the maximum volume levels over time.

Remarks

For Beginners: An envelope in data analysis is like drawing a line that follows the peaks or valleys of your data.

Think of it like tracing the outline of a mountain range:

  • The upper envelope follows the tops of the mountains (the highest points)
  • The lower envelope follows the bottoms of the valleys (the lowest points)

Envelopes are useful for:

  • Identifying trends in noisy data
  • Finding the boundaries of oscillating signals
  • Detecting peaks and valleys in time series data
  • Creating confidence intervals around predictions

For example, if you have stock price data that goes up and down, the upper envelope would connect all the highest prices, while the lower envelope would connect all the lowest prices.

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