Linear Time Invariant Filters: Time Series

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Filtering before Sampling

Emphasizes the necessity of filtering signals before sampling to prevent undersampling effects.

Frequency Response Analysis: Linear Systems and Filters

Covers the frequency response of linear systems and filter design principles.

Digital Filters Synthesis: Bilinear Transformation and Frequency Response

Explores the synthesis of digital filters from analog filters using the bilinear transformation method and Chebyshev's criterion.

Spectral Estimation Methods

Explores parametric spectrum estimation methods, including line and smooth spectra, and delves into heart rate variability analysis.

RIF Filters: Characteristics and Synthesis

Explores the characteristics and synthesis of RIF filters, including windowing operations and linear phase filters.

Filtering and Sampling of Signals

Explores filtering signals with a moving average filter and the process of sampling, emphasizing the importance of signal reconstruction from samples.

Sampling and Reconstruction

Covers the concepts of sampling and reconstruction in signal processing, explaining the conditions for accurate reconstruction.

Analog Filters: General Synthesis and Transfer Functions

Explores analog filters, rational transfer functions, and stability analysis of causal systems.

Wireless Receivers: Time and Phase Offset

Covers the impact and compensation of time and phase offset in wireless receivers.

Monte Carlo Techniques: Sampling and Simulation

Explores Monte Carlo techniques for sampling and simulation, covering integration, importance sampling, ergodicity, equilibration, and Metropolis acceptance.