Kursusoversigt
Kursusbeskrivelse
Kursusnavn (dansk):
Musikalsk Signalbehandling (Udbydes ikke i E2001)
Kursusnavn (engelsk):
Musical Signal Processing (Is not offered in autumn 2001)
Semester:
Efterår 2001
Udbydes under:
cand.it., multimedieteknologi (mmt)
Omfang i ECTS:
7,50
Kursussprog:
Dansk
Kursushjemmeside:
https://learnit.itu.dk
Min. antal deltagere:
0
Forventet antal deltagere:
0
Maks. antal deltagere:
30
Formelle forudsætninger:
Highest level of mathematics from high school
Introduction to Signal Processing
Matlab knowledge
Læringsmål:
The objectives are to introduce the students to the
processing of musical sounds.
Musical Signal Processing involves the analysis,
modeling, synthesis of musical sounds, and the
processing of the sounds.
Musical Sounds is common in the environment
today. Music is a part of most homes, through tape
and disc playback systems. The computer can also
be used as a playback device, playing CDs,
compressed music, or MIDI music. The computer can
also be used as an versatile sound processor, to
analyze, synthesize or process sounds.
This course will include an introduction, with an
overview of the field, research and standardization
today, understanding of musical sounds and the
voice, including auditory perception and timbre
perception, pitch detection, and analysis/synthesis.
Synthesis of musical sounds will be demonstrated
with different algorithms, Wavetable, Additive
(sinusoidal), FM, Granular, Karplus-Strong. Pitch
scaling is demonstrated using both windowed
time-domain methods and frequency domain
methods. Other effects are demonstrated, including
flanging and distortion.
Fagligt indhold:
In order to provide the students the basic knowledge
for understanding and processing musical sounds,
they must have skills in signal processing. Sound is
a one-dimensional variable in time, s(t). This course
will use different one-dimensional signal processing
algorithms: the Fourier transform to switch between
the time and frequency domain, the autocorrelation to
determine pitch, the convolution to filter, and several
other signal processing, computer science, or
statistical algorithms. Furthermore, basic
understanding of the perception of sound will be
demonstrated both in lectures and experiments.
Læringsaktiviteter:
Lectures, exercises.
Eksamensform og -beskrivelse:
X. experimental examination form (7-scale; external exam), 13-skala, Intern censur
Weekly exercises, Oral examination
Litteratur udover forskningsartikler:
Udleverede noter og artikler.
Kursusoversigt