Lectures related to Signals & Systems II: Filter Implementations

Signals, Instruments, and Systems: System Properties and Transforms

Introduces system properties, Laplace Transform, and analog filters for signal analysis.

Explores LTI systems, impulse response, convolution, system properties, and frequency response, including low-pass and band-pass filters.

Analog Filters: General Synthesis and Transfer Functions

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

Frequency Response Analysis: Linear Systems and Filters

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

Filters Fundamentals: Chebyshev Polynomials and Filter Design

Covers Chebyshev polynomials, all-pole filter design, RLC filters, and active-RC and OTA-C filter implementations.

Discrete Signals & Fourier Transform

Explores discrete signals, Fourier transform, modulation, convolution, DFT properties, and signal periodicity.

Fast Fourier Transform (FFT): Lecture 4

Covers the Fast Fourier Transform (FFT) algorithm, interpolation, filters, image processing, and experimental techniques in TEM and STM.

Signal Processing and Embedded Systems

Covers signal processing with digital filters and embedded systems, focusing on practical applications.

Active Filters: Second-order and High-order Realizations

Covers the design and implementation of active filters, focusing on second-order and high-order realizations.

Signal Analysis and Filter Design

Explores signal analysis, FFT, filters, and power spectral density in signal processing.

Signal Processing: Basics and Spectral Analysis

Covers the basics of signal processing, linear estimation, and digital filters.

Fourier Transform and Convolution Product in Signal Processing

Explores the Fourier transform, convolution product, and their applications in signal processing.

Sampling and Reconstruction

Covers sampling, Fourier Transform, and reconstruction using low-pass filters in signal processing.

Image Processing I: Filter Design and Boundary Conditions

Explores filter design, boundary conditions, Fourier-domain filtering, and useful smoothing filters for image processing.

Signals & Systems I: Filter Equations and Poles

Explores rational transfer functions, filter equations, poles, zeros, and impulse response in signal processing.

Signal Processing Fundamentals

Explores signal processing fundamentals, including discrete time signals, spectral factorization, and stochastic processes.

Fast Fourier Transform (FFT): Basics and Applications

Covers the Fast Fourier Transform (FFT) algorithm and its applications in computational physics, including image processing, experimental techniques, filters, and analysis of microscopy images.

Digital Filters: Structure and Implementation

Explores digital filters, their implementation, characteristics, and realizations, with examples for illustration.

Fourier Series and Analysis

Covers Fourier series, analysis, the heat equation, Gibbs phenomenon, and Fourier transform properties.

LTI Systems Analysis

Covers the analysis of LTI communication systems through Fourier transforms and system stability.