Encoding spatial information: k-space & summary

Related lectures (29)

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Covers the importance of sampling in signal processing, including the sampling theorem and signal reconstruction.

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

Explores ideal sampling, Fourier transformation, spectral repetition, and analog signal reconstruction.

Covers Fourier series, Fourier transforms, and convolution properties, including linearity and commutativity.

Explores scaling and renormalization in statistical mechanics, emphasizing critical points and invariant properties.

Covers the analysis of LTI communication systems and reconstruction techniques for band-limited signals.

Explores the Dirac delta, Fourier integral, and Fourier transform applications in solving PDE problems.

Explores Fourier analysis, including reconstruction formula, Fourier series, and spectrum interpretation.

Covers the theory of electromagnetic waves and provides a detailed understanding of wave propagation.