Skip to main content
Graph
Search
fr
|
en
Login
Search
All
Categories
Concepts
Courses
Lectures
MOOCs
People
Practice
Publications
Startups
Units
Show all results for
Home
Lecture
Quantization and Coding of Digital Signals
Graph Chatbot
Related lectures (31)
Previous
Page 2 of 4
Next
Sampling: DT-time processing of CT signals
Covers the importance of sampling in signal processing, including the sampling theorem and signal reconstruction.
Signals, Instruments, and Systems
Explores signals, instruments, and systems, covering ADC, Fourier Transform, sampling, signal reconstruction, aliasing, and anti-alias filters.
Signal Processing: Sampling and Reconstruction
Covers Fourier transform, sampling, reconstruction, Nyquist frequency, and ideal signal reconstruction.
Quantum and Nanocomputing
Explores quantum and nanocomputing, covering feedback amplifiers, ADCs, noise limitations, and ADC architectures.
Wireless Receivers: Time and Phase Offset
Covers the impact and compensation of time and phase offset in wireless receivers.
Signals & Systems I: Micro-Systems and Communication Systems
Introduces the fundamentals of signals and systems, communication systems, and signal processing.
Signals & Systems I: Sampling and Reconstruction
Explores ideal sampling, Fourier transformation, spectral repetition, and analog signal reconstruction.
Signal Processing: Basic Definitions and Properties
Explores basic signal definitions, properties, and digital signal processing techniques.
Sampling and Reconstruction
Covers the concepts of sampling and reconstruction in signal processing, emphasizing the importance of sampling frequency and reconstruction techniques.
Fourier Transform
Covers the Fourier Transform, properties, periodic signals, and digital signals.