Digital signal (signal processing)

Applied sciences
Information engineering
Signal processing
Sampling theory

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Related lectures (29)

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

Conclusions on Module II

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

Quantization and Coding of Digital Signals

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

Signal Processing: Sampling and Reconstruction

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

Introduction: Signals Typology

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

Analog-Digital Conversion: Principles and Implementations

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

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.

Digital Signals: Definitions and Systems

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

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.

Digital Signal Processing: Filters RII - Part 2

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

Analog-to-Digital Conversion: Flash Converter and Weighted Currents

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

Mobile Networks: Evolution and Challenges

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

Signal Sampling and Reconstruction: Fundamentals

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

Discrete Fourier Transform: Frequency Periodicity and Reconstruction

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

Signal Processing: Time-Frequency Discretization

Introduces the Time-Frequency Discretization for processing digital signals and covers the quality of discrete approximation and main properties of TFD.

Interfacing & Packaging of Biochips

Explores miniaturized laboratories for analyzing biochemical information of gases or fluids using biochips.

Sampling and Reconstruction: Gaussian Signal Quality Analysis

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

Analog-Digital & Digital-Analog Converters

Covers Analog-Digital and Digital-Analog conversion, including sampling, quantization, Flash converter, weighted current generation, and R2R network.

Discrete Systems Analysis: Z-Transform and System Properties

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

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