Digital Signal Processing

This course teaches the principles and the practical methods for processing real-world signals on a computer. The vital need to understand the effects from sampling and quantization is emphasized. Modern methods for designing digital filters and their use are introduced. Discrete-time and DFT properties, fast DFT algorithms (FFT), and spectral analysis are important further topics. Both stochastic and deterministic signals are differentiated and methods for processing them are introduced. Current methods for A/D conversion are explained. Mathematical homework, MATLAB reinforcement exercises, and an open-ended DSP task are all used to build competence.