Introduction to Signal Processing, 5 cr

Core content

• Basics of digital signal processing: sampling theorem, discrete signals and their properties, digital linear systems and their properties and convolution operator.
• Analysis of linear systems: discrete Fourier transform, FFT algorithm, z-transform, transfer function and frequency response.
• Synthesis of linear systems: Designing FIR filters using the window design method.
• Multirate DSP: decimation and Interpolation operations.
• Basics of machine learning: nearest neighbor and linear classifiers.
• Example applications and visiting lecture from the university/industry.

Complementary knowledge

• Fourier transform, Fourier series and Discrete-time Fourier transform
• Design of IIR filters
• Applications of multirate in A/D and D/A conversion.

Specialist knowledge

• Parks-McClellan algorithm