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Related lectures (29)
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Frequency Estimation (Theory)
Covers the theory of numerical methods for frequency estimation on deterministic signals, including Fourier series and transform, Discrete Fourier transform, and the Sampling theorem.
Sampling Theorem: Illustration
Explores the sampling theorem through sinusoid reconstruction, under-sampling effects, and signal filtering importance.
Signal Modulation and Sampling
Covers signal modulation, sampling, and their applications in communication systems.
Communication Amid Uncertainty
Explores challenges in human communication, context importance, compression problems, uncertain functionality, and proof verification.
Signal processing and vector spaces
Emphasizes the significance of vector spaces in signal processing, offering a unified framework for various signal types and system design.
Sampling and Reconstruction Theory
Covers the concepts of analog, discrete, and digital signals, sampling times, frequencies, and pulses.
Spectral Estimation Methods
Explores parametric spectrum estimation methods, including line and smooth spectra, and delves into heart rate variability analysis.
Signals, Instruments, and Systems
Covers embedded systems, power management, communication methods, and field instruments.
Signal Processing: Sampling and Reconstruction
Covers the concepts of quantization, coding, and sampling in signal processing.
