Skip to main content
Graph
Search
fr
en
Login
Search
All
Categories
Concepts
Courses
Lectures
MOOCs
People
Quizes
Exercises
Publications
Startups
Units
Show all results for
Home
Lecture
Oversampled A-D Conversion
Graph Chatbot
Related lectures (30)
Signal Filtering
MOOC: Information, Computation, Communication: Introduction to computational thinking
Explores signal filtering using low-pass filters to reduce noise and distortions in signals, showcasing frequency suppression and smoothing effects.
Fitting the Transmitter Spectrum
Explains how to fit the transmitter spectrum within the channel's bandwidth constraints.
Digital Filtering: Butterworth Filter Design
Explores digital Butterworth filter design, covering scaling, stable poles, and filter application.
Reconstruction: Sampling Theorem
Explores signal reconstruction, sampling frequency, and the stroboscopic effect.
Proportional Derivative Control
Covers Proportional Derivative (PD) Control, feedback interpretation, and derivative action implementation in circuits.
Reconstruction: Sampling Theorem Conclusion
Explores the fundamental concept of reconstructing signals through sampling, emphasizing the importance of applying a low-pass filter before sampling.
Signal Sampling 4: Ideal Low-Pass Filtering
Explores ideal low-pass filtering of signals to reduce noise and distortions.
Filtering before Sampling
MOOC: Information, Computation, Communication: Introduction to computational thinking
Emphasizes the necessity of filtering signals before sampling to prevent undersampling effects.
Reconstruction: Undersampling and Filtering
Explores the impact of undersampling on signals and the solution of pre-filtering to avoid the stroboscopic effect.
Memory Cache Organization and Signal Filtering
Discusses memory cache organization and signal filtering techniques using a moving average filter to recover desired signals.
Operational Amplifier: Frequency-Dependent Gain Amplifier
MOOC: Electronics I
Covers the frequency-dependent gain amplifier and 1st order low-pass active filter.
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.
Electrical Metrology: Noise Reduction Techniques
Log in to Mediaspace to watch this video
Explores noise reduction techniques in electrical metrology, covering properties of charge, current, voltage, noise sources, and filtering methods.
LTI Systems: Analysis and Properties
Log in to Mediaspace to watch this video
Covers the analysis and properties of Linear Time-Invariant (LTI) systems.
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.
A/D and D/A Conversion Fundamentals
Log in to Mediaspace to watch this video
Covers the fundamentals of A/D and D/A conversion techniques and their implementation.
Sampling and Reconstruction
Log in to Mediaspace to watch this video
Covers sampling, Fourier Transform, and reconstruction using low-pass filters in signal processing.
Electrical Metrology: Noise Reduction Techniques
Log in to Mediaspace to watch this video
Explores noise reduction, ADCs, TDCs, and time-resolved imaging in electrical metrology.
Chopper Stabilization Techniques
Log in to Mediaspace to watch this video
Explores Chopper Stabilization (CHS) technique in Analog IC Design, focusing on noise reduction and offset minimization.
Analog and Digital Conversion
Log in to Mediaspace to watch this video
Explores analog and digital signal processing, A/D and D/A conversion, resolution, settling time, and digital interfaces in electronic circuits.
Previous
Page 1 of 2
Next
