Skip to main content
Graph
Search
fr
en
Login
Search
All
Categories
Concepts
Courses
Lectures
MOOCs
People
Practice
Publications
Startups
Units
Show all results for
Home
Lecture
Frequency Response Analysis: Linear Systems and Filters
Graph Chatbot
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: Implementation and Analysis
Explores digital filters' implementation, cyclic convolution, FFT-based filtering, and the importance of filtering in signal processing.
Discrete Signals & Fourier Transform
Explores discrete signals, Fourier transform, modulation, convolution, DFT properties, and signal periodicity.
Filter Structures: Part 2
Explores the geometric interpretation of filter responses and the challenges of achieving causal filters in real-time signal processing.
Digital Filters: Phase Response and Stability
Explores phase response constraints, minimum phase systems, and digital filter design.
Frequency Response and Filters
Explores frequency response properties, system composition, and frequency-selective filters in LTI systems, emphasizing the importance of magnitude.
Signal Processing: Basics and Applications
Covers the basics of signal processing, including Fourier transform, linear systems, and signal manipulation.
Frequency Response and System Composition
Covers the properties of frequency response for discrete-time systems and system composition.
Signal Processing Fundamentals
Explores signal processing fundamentals, including discrete time signals, spectral factorization, and stochastic processes.
Signals & Systems I: Filter Equations and Poles
Explores rational transfer functions, filter equations, poles, zeros, and impulse response in signal processing.
Fourier Transform Pairs and System Analysis
Covers Fourier transform pairs, system analysis with difference equations, and frequency response.
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.
Previous
Page 2 of 2
Next