Functional Reactive Programming

Related lectures (29)

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Explores parametric spectrum estimation methods, including line and smooth spectra, and delves into heart rate variability analysis.

Explores neural signals, EMG control, muscle synergies, and HD-EMG for prosthetic devices.

Covers convolution and Fourier transforms in linear time-invariant systems.

Covers introductory lessons on signals and systems, signal processing, and practical applications like image compression and multimedia.

Introduces the fundamentals of signals and systems, communication systems, and signal processing.

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

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

Explores frequency periodicity in the discrete Fourier transform for signal reconstruction.

Explores sampling, signal representation, point transformations, and signal vector spaces in the context of signals and systems.

Covers the graphical convolution method for discrete-time signals and explains the continuous-time convolution with examples.