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Lecture
Time Series: Spectral Analysis and Linear Filtering
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Linear Time Invariant Filters: Time Series
Explores estimation, ergodicity, sampling, and linear time invariant filters in time series analysis.
Signals, Instruments, and Systems
Explores signals, instruments, and systems, covering ADC, Fourier Transform, sampling, signal reconstruction, aliasing, and anti-alias filters.
Signal Processing: Basics and Spectral Analysis
Covers the basics of signal processing, linear estimation, and digital filters.
Sampling: Signal Reconstruction and Aliasing
Covers the importance of sampling, signal reconstruction, and aliasing in digital representation.
Signal Processing: Basics and Applications
Covers the basics of signal processing, including Fourier transform, linear systems, and signal manipulation.
Spectral Estimation Methods
Explores parametric spectrum estimation methods, including line and smooth spectra, and delves into heart rate variability analysis.
Digital Filtering Fundamentals
Introduces fundamental notions in digital filtering, covering 2D filtering approaches, linear filters, stability, FIR and IIR filters, frequency domain filtering, and Gaussian filters.
Signal Processing and Embedded Systems
Covers signal processing with digital filters and embedded systems, focusing on practical applications.
LTI Systems: Analysis and Properties
Covers the analysis and properties of Linear Time-Invariant (LTI) systems.
Active Filters: Second-order and High-order Realizations
Covers the design and implementation of active filters, focusing on second-order and high-order realizations.
