Musical Signal Processing involves the analysis, modelling, 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 analyse, synthesize or process sounds. 

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.

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-domensional 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. 

Lectures, Classroom exercises, Computer exercises 

Oral examination