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Lecture
Digital Filtering: Butterworth Filter Design
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Related lectures (32)
Filters Fundamentals: Chebyshev Polynomials and Filter Design
Covers Chebyshev polynomials, all-pole filter design, RLC filters, and active-RC and OTA-C filter implementations.
Digital Filters: RII Filters - Part 2
Covers digital RII filters, elliptical and Chebyshev filters, frequency transformations, and filter realization.
Active Filters: Second-order and High-order Realizations
Covers the design and implementation of active filters, focusing on second-order and high-order realizations.
High-order Filters: LC Ladder Filters
Explores the design and simulation of high-order LC ladder filters using active-RC circuits and impedance normalization techniques.
Digital Filters: Structure and Implementation
Explores digital filters, their implementation, characteristics, and realizations, with examples for illustration.
Frequency Response Analysis: Linear Systems and Filters
Covers the frequency response of linear systems and filter design principles.
Sampling and Reconstruction
Covers sampling, Fourier Transform, and reconstruction using low-pass filters in signal processing.
Feedback Amplifiers: Stability Analysis
Covers stability analysis of feedback amplifiers and Butterworth and Chebyshev filter design.
Filters Fundamentals: Chebyshev Approximation
Explores the fundamentals of Chebyshev approximation in filters, covering polynomials, pole locations, order determination, and design procedures.
Digital Filters: Phase Response and Stability
Explores phase response constraints, minimum phase systems, and digital filter design.
Frequency Domain Analysis
Explores system analysis in the frequency domain, covering sinusoidal transfer functions, resonant frequencies, and filter design.
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.
Signal Processing and Embedded Systems
Covers signal processing with digital filters and embedded systems, focusing on practical applications.
Signals, Instruments, and Systems: System Properties and Transforms
Introduces system properties, Laplace Transform, and analog filters for signal 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.
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Explores filter synthesis methods and the role of random variables in measurement systems.
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Signals & Systems I: Pole-Zero Analysis and Filter Synthesis
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