Digital Signal Processing (DSP) Introduction Course at Metropolia University of Applied Sciences. The course provided a comprehensive overview of the fundamental concepts in DSP, covering both the theoretical foundations and practical implementation using Octave.
- Complex numbers, Fourier series, Fourier transform
- Classification of signals (e.g., periodic, sinusoidal, exponential, …)
- Basic properties of signal processing systems (linearity, stability, …)
- Impulse response
- Block diagram
- Difference equation (not differential), transfer function, poles and zeroes
- Z-transform
- Frequency response
- Discrete Fourier transform
- Digital filters and filter design
- Time and frequency domain analysis
- Signal processing applications