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Lecture
Time Series: Spectral Analysis and Linear Filtering
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Related lectures (59)
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Introduces fundamental notions in digital filtering, covering 2D filtering approaches, linear filters, stability, FIR and IIR filters, frequency domain filtering, and Gaussian filters.
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Explores signals, instruments, and systems, covering ADC, Fourier Transform, sampling, signal reconstruction, aliasing, and anti-alias filters.
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Covers the basics of signal processing, linear estimation, and digital filters.
Signal Processing: Basics and Applications
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Spectral Estimation Methods
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Explores parametric spectrum estimation methods, including line and smooth spectra, and delves into heart rate variability analysis.
Signal Processing and Embedded Systems
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Covers signal processing with digital filters and embedded systems, focusing on practical applications.
LTI Systems: Analysis and Properties
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Active Filters: Second-order and High-order Realizations
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Covers the design and implementation of active filters, focusing on second-order and high-order realizations.
Linear Phase Filters: Theory and Design
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Explores the theory and design of linear phase filters, emphasizing the importance of achieving optimal filter performance.
Signal Processing: Image Restoration and Linear Prediction
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RIF Filters: Characteristics and Synthesis
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Digital Filters: Structure and Implementation
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Explores the synthesis of digital filters from analog filters using the bilinear transformation method and Chebyshev's criterion.
Analog Filters: General Synthesis and Transfer Functions
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Explores analog filters, rational transfer functions, and stability analysis of causal systems.
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