Welcome to DSP.jl's documentation!

DSP.jl provides a number of common digital signal processing routines in Julia. Many methods provided in this package are validated against popular tools such as MATLAB's Signal Processing suite and Python's MNE-Python package. So far, the following submodules are implemented:

Table of contents

• Welcome to DSP.jl's documentation!
• • Table of contents
• Periodograms - periodogram estimation
• • Basic functions
  • Multitaper periodogram estimation
  • Configuration objects
• Estimation - parametric estimation functions
• Windows - window functions
• Filters - filter design and filtering
• • Filter coefficient objects
  • Stateful filter objects
  • Filter application
  • Filter design
  • Filter response
  • Miscellaneous
  • Examples
• Util - utility functions
• Convolutions - similarity methods
• LPC - Linear Predictive Coding
• Internals
• Index