Circulant matrix

Applied sciences
Information engineering
Signal processing
Fourier analysis

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Related lectures (7)

Signal Representations

Covers the properties of signal/data representations using Fourier transformations and matrices.

Frequency Analysis: FFT Algorithm and Digital Filters

Explores the FFT algorithm, cost analysis, and digital filters in frequency analysis.

Discrete-Time Fourier Transform: Properties

Explores the properties of Discrete-Time Fourier Transform, including linearity, time and frequency shifts, time reversal, and convolution.

Signal Processing: Fourier Transform and Fast Algorithm

Explores DTFT, DFT, FFT properties, and the cost analysis of fast algorithms.

Discrete Signals and Systems II: Fourier Transform Properties

Explores the properties of the discrete Fourier transform and its applications in signal processing, emphasizing DFT reversal and DTFT resampling.

Digital Filters: Implementation and Analysis

Explores digital filters' implementation, cyclic convolution, FFT-based filtering, and the importance of filtering in signal processing.

Convolutional Neural Networks

Introduces Convolutional Neural Networks, covering fully connected layers, convolutions, pooling, PyTorch translations, and applications like hand pose estimation and tubularity estimation.

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