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Lecture
Signals & Systems I: Filter Equations and Poles
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Related lectures (32)
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Signals & Systems II: Filter Implementations
Explores IIR filter implementations, canonical vs. non-canonical forms, stability, DTFT properties, and eigenvectors in LID systems.
Convolution and Laplace Transform
Explores control of dynamic systems, impulse response, Laplace transform, and Fourier transform for solving differential equations.
Fourier Transform Pairs and System Analysis
Covers Fourier transform pairs, system analysis with difference equations, and frequency response.
LTI Systems Analysis
Covers the analysis of LTI communication systems through Fourier transforms and system stability.
Image Processing I: Filters and Transformations
Explores moving average and exponential filters, Gaussian filtering, and linear scale-space concepts in image processing.
DTFT and Stable LTI Systems
Covers the analysis of stable LTI systems using the Discrete-Time Fourier Transform.
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.
Signals and Systems: Sampling Theorem and Applications
Discusses the sampling theorem and its applications in signal processing.
Frequency Response and System Composition
Covers the properties of frequency response for discrete-time systems and system composition.
Frequency Sampling
Explores the frequency sampling method to approximate ideal filters, useful for quick prototyping but lacking fine control over errors.
