GitHub - zbeever/coursera-digital-signal-processing: Project files for Martin Vetterli's course on signal processing.

zbeever / coursera-digital-signal-processing Public

Notifications You must be signed in to change notification settings
Fork 2
Star 3

Project files for Martin Vetterli's course on signal processing.

Notifications

Name		Name	Last commit message	Last commit date
Latest commit History 1 Commit
data		data
notebooks		notebooks
samples		samples
tables		tables
Audio.py		Audio.py
README.txt		README.txt
assignment1.py		assignment1.py
assignment1.pyc		assignment1.pyc
assignment2.py		assignment2.py
assignment2.pyc		assignment2.pyc
assignment3.py		assignment3.py
assignment3.pyc		assignment3.pyc
assignment4.py		assignment4.py
assignment4.pyc		assignment4.pyc
check_assignment.py		check_assignment.py
check_assignment.pyc		check_assignment.pyc
common.py		common.py
encoder.py		encoder.py
generate_submission.py		generate_submission.py
parameters.py		parameters.py
parameters.pyc		parameters.pyc
practice-homework-set.pdf		practice-homework-set.pdf
psychoacoustic.py		psychoacoustic.py
quiz_7.py		quiz_7.py
res1.txt		res1.txt
res2.txt		res2.txt
res3.txt		res3.txt
res4.txt		res4.txt

Repository files navigation

PLACE IN THIS FOLDER FILES AS YOU RECEIVE THEM
- assignmenti.py, i=1, 2, 3 and 4

STRUCTURE OF THE ASSIGNMENT FOLDER - DO NOT MODIFY THE FOLLOWING FILES

FOLDERS
- data: input and output files for checking and submitting assignments
- samples: sample wave files
- tables: parameters of standard

FILES
- Audio.py
- check_assignment.py: check assignments locally before submitting answers
- common.py: functions and general classes
- encoder.py: main file to encode wav file in MP3
- parameters.py: retrieve the parameters of the standard
- psychoacoustic.py: implementation of the psychoacoustic model
- submit.py: submit assignments to Coursera for grading