Skip to search formSkip to main contentSkip to account menu

Sampling (signal processing)

Known as: Sampling frequencies, Digital samples, Sampling (information theory) 
In signal processing, sampling is the reduction of a continuous signal to a discrete signal. A common example is the conversion of a sound wave (a… 
Wikipedia (opens in a new tab)

Related topics

Related topics

50 relations
3D user interactionAnti-aliasingAnti-aliasing filterAudio editing software

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2013
Highly Cited
2013
Periodic event-triggered control for nonlinear systems
Resources limitations of embedded systems and networked control systems have motivated the development of novel controller… 
Highly Cited
2011
Highly Cited
2011
Challenges and results of sampling Chinese restaurant menu items for the USDA National Nutrient Database for Standard Reference
The Nutrient Data Laboratory sampled Chinese restaurant entrées to increase the number of ethnic foods in the USDA Nutrient… 
Highly Cited
2010
Highly Cited
2010
A report to the food and agriculture organization of the united nations (FAO) in support of sampling study for National Forestry Resources Monitoring and Assessment (NAFORMA) in Tanzania
Erkki Tomppo1, Matti Katila1, Kai Mäkisara1, Jouni Peräsaari1, Rogers Malimbwi2, Nurudin Chamuya3, Jared Otieno3, Søren… 
Highly Cited
2006
Highly Cited
2006
Signal Reconstruction From Noisy Random Projections
Recent results show that a relatively small number of random projections of a signal can contain most of its salient information… 
Highly Cited
2000
Highly Cited
2000
Plant diversity increases resistance to invasion in the absence of covarying extrinsic factors
Biological invasion is a widespread, but poorly understood phenomenon. Elton's hypothesis, supported by theory, experiment, and… 
Highly Cited
1997
Highly Cited
1997
Genetic Algorithms for Least-Cost Design of Water Distribution Networks
This paper describes the development of a computer model GANET that involves the application of an area of evolutionary computing… 
Highly Cited
1997
Highly Cited
1997
ESTIMATING TEMPORARY EMIGRATION USING CAPTURE-RECAPTURE DATA WITH POLLOCK'S ROBUST DESIGN
Statistical inference for capture-recapture studies of open animal populations typically relies on the assumption that all… 
Highly Cited
1995
Highly Cited
1995
Bayesian Learning for Neural Networks
Artificial "neural networks" are widely used as flexible models for classification and regression applications, but questions… 
Highly Cited
1992
Highly Cited
1992
Beyond BACI: the detection of environmental impacts on populations in the real, but variable, world
Highly Cited
1987
Highly Cited
1987
Generalized Predictive Control - Part II Extensions and interpretations
By clicking accept or continuing to use the site, you agree to the terms outlined in our Privacy Policy (opens in a new tab), Terms of Service (opens in a new tab), and Dataset License (opens in a new tab)