Explores the Discrete Fourier Transform synthesis and analysis formulas, time shifts for finite-length signals, and the equivalence between DFS and DFT.
Explores the average triton crossing method in biomedical signal processing and the efficiency of time-domain techniques in extracting meaningful information from sensor data.
Covers spectral estimation techniques like tapering and parametric estimation, emphasizing the importance of AR models and Whittle likelihood in time series analysis.