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Lecture
Signals, Instruments, and Systems
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Related lectures (30)
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Filtering and Sampling of Signals
Explores filtering signals with a moving average filter and the process of sampling, emphasizing the importance of signal reconstruction from samples.
LTI Systems: Analysis and Properties
Covers the analysis and properties of Linear Time-Invariant (LTI) systems.
Sampling and Reconstruction Theory
Covers the concepts of analog, discrete, and digital signals, sampling times, frequencies, and pulses.
Psychoacoustics and Signal Processing
Explores psychoacoustics, signal processing, and the brain's interpretation of sound frequencies, covering topics like the Missing Fundamental phenomenon and the inner workings of the cochlea.
Sampling and Reconstruction
Covers the concepts of sampling and reconstruction in signal processing, explaining the conditions for accurate reconstruction.
Introduction to Sampling
Covers the concept of sampling, the sampling theorem, signal reconstruction, and the conversion of analogue signals to digital signals.
Signal Processing: Basics and Applications
Covers the basics of signal processing, including Fourier transform, linear systems, and signal manipulation.
Signal Processing: Sampling and Reconstruction
Covers the concepts of quantization, coding, and sampling in signal processing.
Fourier Transform: Basics and Applications
Covers the basics of the Fourier transform and its applications in signal processing.
Discrete Fourier Transform: Introduction and Sampling
Covers the introduction of discrete Fourier transform and its implications on signal reconstruction.
