Introduction



plt version 29Mar22

Copyright © 2022, Paul Mennen
Matlab users may be interested in this toolbox for its focus in one or more of these three areas:
  1. A plotting interface. An alternative to Matlab's plot and plotyy routines


  2. A GUI building framework. An alternative to Matlab's App Designer or Guide


  3. Signal Processing. For 15 out of the 35 included example programs, in addition to their role in demonstrating various plt features were also designed to have an educational value in these signal processing topics:

       ▪ afilt.m   (classical analog filters)
       ▪ bounce.m  (random walks)
       ▪ curves.m  (classic plane curves)
       ▪ dice3.m   (Monte Carlo simulation)
       ▪ editz.m   (z-plane analysis)
       ▪ gauss.m   (summation of random variables)
       ▪ gpsLog.m  (GPS data analysis and simulation)
       ▪ julia.m   (Mandelbrot & Julia set fractals)
       ▪ pltquiv.m (Hermite polynomial interpolation)
       ▪ pltmap.m  (2-dimensional cubic interpolation)
       ▪ square.m  (synthesis of harmonic functions)
       ▪ tas.m     (aircraft performance modeling)
       ▪ weight.m  (classic sound level weighting curves)
       ▪ wfall.m   (clipping distortion effects)
       ▪ winplt.m  (fft windowing)
    


Requirements





I hope using plt enhances your Matlab experience.
I'm interested in hearing about your problems and suggestions.
You can reach me at  paul@mennen.org.