DigitalSignalProcessing

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.

Topics Covered

• 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

Labs using Octave:

Basics:

Time Domain:

Signal Spectrum:

Poles and Zeros

Modification of Systems

Analog Filters and applying DSP tricks