Concept

Nyquist rate

Related lectures (31)

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

Transition to/from Continuous Time Signals and Passband Modulation

Explores the transition between continuous time signals and passband modulation techniques.

Explains the Nyquist rate and Sampling Theorem for reconstructing band-limited signals through examples and sampling techniques.

Transition to/from Continuous Time Signals and Passband Modulation - Part 2

Covers direct conversion receivers, down-conversion, matched filters, and receiver architectures in wireless communication systems.

The Sampling Theorem

Explores the sampling theorem, basis expansion, Nyquist frequency, and signal representation.

Bandpass Sampling

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

Discrete-time Systems: Z-transform and Stability

Explores Z-transform, stability analysis, and discrete-time controller implementation.

1st Harmonic: Stability and Adaptation

Covers stability, adaptation, Nyquist criterion, and predicting limit cycle existence.

Sampling and Reconstruction: Gaussian Signal Quality Analysis

Explores Fourier analysis, sampling, and signal reconstruction quality assessment through practical experiments.

Analog-to-Digital Conversion

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

Nyquist Sampling Theorem

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

The Sampling Theorem

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

Smart Sensors for the IoT: ADCs Fundamentals

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

X-ray Imaging: Techniques and Applications

Explores synchrotrons, x-ray lasers, lensless imaging, Nyquist frequency, aliasing, oversampling, and constraints in scattering data analysis.

Biomechanical Characteristics and Sensors

Covers biomechanical characteristics, sensor setup, calibration, crosstalk, and sampling challenges in muscle studies.

Signal Modulation and Sampling

Covers signal modulation, sampling, and their applications in communication systems.

Principles of Digital Communication

Covers the principles of digital communication, focusing on the Nyquist Sampling Theorem and signal space dimension.

Signals, Instruments, and Systems

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

Sampling and Spectrum of Signals

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

Signal Sampling and Reconstruction

Covers signal sampling, reconstruction, aliasing, and examples of signal reconstruction using low-pass filters.