Concept

Digital signal (signal processing)

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Related lectures (32)

Introduction to Sampling

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.

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.

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.

Neural Signals and Signal Processing

Explores neural signals, EMG control, muscle synergies, and HD-EMG for prosthetic devices.

Optimization of Neuroprosthetic Systems

Explores the optimization of neuroprosthetic systems, including sensory feedback restoration and neural stimulation strategies.

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.

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.

Signal Processing: Sampling and Reconstruction

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

Sampling and Reconstruction: Gaussian Signal Quality Analysis

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

Signal Processing: Basic Definitions and Signal Typology

Covers the basic definitions and typology of signals, including analog and digital signals.

CMOS Camera Power Consumption Analysis

Covers the analysis of power and current consumption in a CMOS camera system, including calculations for amplification stages and comparisons with CCD technology.

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.

Signals & Systems I: Micro-Systems and Communication Systems

Introduces the fundamentals of signals and systems, communication systems, and signal processing.