Signal Processing - Maple Help
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Signal Processing

 

The Signal Processing package features tools for frequency domain analysis, windowing, signal generation & analysis, and more. In Maple 18, the Signal Processing toolkit has been expanded to include tools for visualizing the frequency contents of signals and expanded windowing functionality.

 

Compatibility note: For ease of use, the Engine subpackage of the SignalProcessing package has been removed, and the commands that were part of the Engine subpackage in Maple 17 are now present as top-level exports of the SignalProcessing package. Code and worksheets that referenced exports of SignalProcessing[Engine] will continue to work, but can now be updated to simply use exports of SignalProcessing itself.

 

Spectrogram, Power Spectrum and Signal Plots

New Windowing Functions

New and Updated Applications

See Also

Spectrogram, Power Spectrum and Signal Plots

Updates include a new function that plots the Spectrogram of a signal, as well as plots for the Power Spectrum and the Signal Plot. By using the new ColorScheme option for Maple plots, you can control the color spread assigned to specific fractions of the given range.

 

withSignalProcessing:

 

Example

This is a spectrogram of a male voice saying "MapleSim", recorded at 11 KHz.

 

maplesimFileTools:-JoinPathkerneloptsdatadir,audio,maplesim.wav:Spectrogrammaplesim,colorscheme=zgradient,white,LightSteelBlue,black,markers=0,0.5,1,fftsize=256,size=400,400

 

 

Example

This is a spectrogram of a violin note played with vibrato, together with the power spectrum and signal plot. Note that the oscillations in frequency are typical of vibrato, and are visible above 7 kHz.

filename  FileTools:-JoinPathkerneloptsdatadir,audio,ViolinThreePosVibrato.wav:vibratoAudioTools:-Readfilename:

Spectrogramvibrato,colorscheme=zgradient,white,LightBlue,red,black,markers=0,0.5,0.75,1,channel=1,fftsize=210,size=400,400,includepowerspectrum,includesignal

 

New Windowing Functions

Maple 18 offers more windowing functions, including Blackmann-Nuttall, Bohman windows, and more. Windows can also be applied to each window of data used to generate an FFT.

Example

freq5:

N28:

samplingRate50:

dataVectorN,isin2evalfPifreqisamplingRate+rand1012,datatype=float8:dataWindowBlackmanNuttallWindowdata:

SpectrogramdataWindow,samplerate=samplingRate,includepowerspectrum,includesignal,fftsize=128,colorscheme=zgradient,SteelBlue,PaleGreen,red,Black,markers=0,0.5,0.8,1

New and Updated Applications

Filtering Frequency Domain Noise

Sunspot Periodicity

Signal Generation

Option Pricing with FFTs

See Also

What's New in Maple 18