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Concept

Sampling (signal processing)

Related lectures (29)

Sampling Theorem and Control Systems

Explores the Sampling Theorem, digital control, signal reconstruction, and anti-aliasing filters.

Bandpass Sampling

Covers bandpass sampling for signals with limited frequency range, ensuring information preservation through proper sampling techniques.

Determinantal Point Processes and Extrapolation

Covers determinantal point processes, sine-process, and their extrapolation in different spaces.

Data Representations and Processing

Covers data representations, challenges of imbalanced data, and strategies for data normalization and cleaning.

Networked Control Systems: Protocol-induced Delays and Time-varying Sampling

Explores protocol-induced delays, time-varying sampling, wireless control networks, and system stability.

State Space Control: Discrete Systems

Explores the shift from continuous to discrete control systems, focusing on the challenges and benefits of digital implementation.

Sinusoidal aliasing

Explores sinusoidal aliasing, from periodic complex exponentials to aliasing of sinusoids.

Discrete Fourier Transform: Frequency Periodicity and Reconstruction

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

Sampling and Reconstruction Theory

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

Signal Sampling: Interpolation

Explores signal sampling theory, interpolation techniques, and the importance of the sampling theorem in signal processing.

Nyquist Sampling Theorem

Covers the Nyquist sampling theorem and the relationship between signal bandwidth and sampling frequency.

Clipping Saturation and Companding

Covers clipping, saturation curves, and companders in audio signal processing.

Lab versus Daily Life Monitoring

Compares lab-based measurement systems with body-worn sensors for daily life monitoring, discussing their advantages and limitations.

Smart Sensors for the IoT: ADCs Fundamentals Log in to Mediaspace to watch this video

Explores ADCs fundamentals for IoT smart sensors, covering quantization, non-idealities, and topologies.

Analog-to-Digital Conversion Log in to Mediaspace to watch this video

Explores analog-to-digital conversion principles, covering resolution, sampling rate, and conversion characteristics.

LTI Systems: Analysis and Properties Log in to Mediaspace to watch this video

Covers the analysis and properties of Linear Time-Invariant (LTI) systems.

The Sampling Theorem Log in to Mediaspace to watch this video

Covers the sampling theorem, impulse train sampling, bandlimited signals, and the Nyquist rate.

Sampling and Spectrum of Signals Log in to Mediaspace to watch this video

Explores sampling signals and their spectrum, highlighting the significance of choosing the right sampling frequency for accurate signal representation.

Sampling: Signal Reconstruction and Aliasing Log in to Mediaspace to watch this video

Covers the importance of sampling, signal reconstruction, and aliasing in digital representation.

Signal Sampling and Reconstruction: Fundamentals Log in to Mediaspace to watch this video

Covers the fundamentals of signal sampling and reconstruction, including the sampling theorem and practical reconstruction systems.