Signal Processing: Correlation and Spectral Density

Related lectures (31)

Explores the Discrete Fourier Transform applied to signals of unlimited duration using various windows for improved accuracy.

Covers the concepts of analog, discrete, and digital signals, sampling times, frequencies, and pulses.

Explains the principles of frequency search and signal processing techniques for accurate results.

Covers image processing basics, Fourier transformation, convolution, cross-correlation, and 3D reconstruction using the Radon projection theorem.

Explores signals, instruments, and systems, covering ADC, Fourier Transform, sampling, signal reconstruction, aliasing, and anti-alias filters.

Covers the concepts of quantization, coding, and sampling in signal processing.

Explores signal approximation, orthogonal bases, Fourier series, correlation, and vector geometry.

Covers the basics of the Fourier transform and its applications in signal processing.

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

Explores frequency estimation in deterministic signals using the DFT and spectral resolution.

Explores the Fourier integral series, convergence, non-periodic signals, symmetry relations, and practical applications in signals & systems.

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