Multi-Component Signal Methods Benchmarks

Contents:

  • Installation
  • What is mcsm-benchs?
  • Architecture and basic functionality
  • The SignalBank class
  • The ResultsInterpreter class
  • Extra functionalities
  • Collaborative benchmarks

Examples:

  • mcsm-benchs: Creating benchmarks of MCS Methods
  • mcsm-benchs: Exploring signals provided by the SignalBank class
  • mcsm-benchs: Benchmarks with personalized noise-generating functions
  • mcsm-benchs: Querying Signal class attributes for more versatile benchmarks
  • mcsm-benchs: Using user-provided signals and performance metric

Packages:

  • mcsm_benchs
Multi-Component Signal Methods Benchmarks
  • Python Module Index

Python Module Index

m
 
m
- mcsm_benchs
    mcsm_benchs.Benchmark
    mcsm_benchs.benchmark_utils
    mcsm_benchs.MatlabInterface
    mcsm_benchs.OctaveInterface
    mcsm_benchs.ResultsInterpreter
    mcsm_benchs.SignalBank

© Copyright 2023, Juan M. Miramont.

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