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Concept

Digital signal (signal processing)

Related lectures (29)

Conclusions on Module II

Concludes Module II by presenting two theories on optimal signal representation.

What is digital signal processing

Covers the concept of time, discrete time practicality, sampling theorem, digital storage, transmission of signals, and key ideas of digital signal processing.

Signal Sampling: Sampling

Explains signal sampling, the need for discrete sampling, errors, quantization, and choosing the right sampling period.

GLM and Statistical Testing Illustrated

Explores GLM, statistical testing, neural signals, and signal processing, covering contrasts, multiple comparisons, F-tests, functional connectivity, resting-state fMRI, and multivariate methods.

Mobile Networks: Evolution and Challenges

Explores the evolution and impact of mobile networks, emphasizing the essential role they play in modern society.

Discrete Fourier Transform: Frequency Periodicity and Reconstruction

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

Sampling and Reconstruction: Gaussian Signal Quality Analysis

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

Discrete Systems Analysis: Z-Transform and System Properties

Explores Z-transform, system properties, and analysis of discrete systems, focusing on stability and transfer functions.

Signal of the Day: Fukushima

Covers band-limited interpolation in digital signal processing, focusing on the recovery of a continuous-time signal.

Proportional Derivative Control

Covers Proportional Derivative (PD) Control, feedback interpretation, and derivative action implementation in circuits.

Noise: Signal Processing

Explores types of noise in signal processing and methods to mitigate interference.

Introduction to Sampling Log in to Mediaspace to watch this video

Covers the concept of sampling, the sampling theorem, signal reconstruction, and the conversion of analogue signals to digital signals.

Quantization and Coding of Digital Signals Log in to Mediaspace to watch this video

Explores quantization and coding of digital signals, discussing uniform quantization, error analysis, and signal-to-quantization noise ratio.

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

Covers Fourier transform, sampling, reconstruction, Nyquist frequency, and ideal signal reconstruction.

Introduction: Signals Typology Log in to Mediaspace to watch this video

Introduces signals and discusses their typology, including single-channel, multi-channel, analog, discrete time, and digital signals.

Analog-Digital Conversion: Principles and Implementations Log in to Mediaspace to watch this video

Explores analog-digital conversion principles, quantization, and converter implementations, emphasizing speed, precision, and energy efficiency.

Digital Signals: Definitions and Systems Log in to Mediaspace to watch this video

Covers basic communication concepts, symbol rate, bit rate, channel capacity, Shannon's channel coding theorem, and system performance evaluation.

Digital Signal Processing: Filters RII - Part 2 Log in to Mediaspace to watch this video

Explores aliasing, sampling, equivalence of analog and digital signals, and digital filter design.

Analog-to-Digital Conversion: Flash Converter and Weighted Currents Log in to Mediaspace to watch this video

Explores analog-to-digital conversion using flash converters and weighted currents.

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.