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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… Expand
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Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2013
Highly Cited
2013
Distributed Representations of Words and Phrases and their Compositionality
The recently introduced continuous Skip-gram model is an efficient method for learning high-quality distributed vector… Expand
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Highly Cited
2010
Highly Cited
2010
CoSaMP: Iterative signal recovery from incomplete and inaccurate samples
Compressive sampling (CoSa) is a new paradigm for developing data sampling technologies. It is based on the principle that many… Expand
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Highly Cited
2010
Highly Cited
2010
From Theory to Practice: Sub-Nyquist Sampling of Sparse Wideband Analog Signals
Conventional sub-Nyquist sampling methods for analog signals exploit prior information about the spectral support. In this paper… Expand
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Highly Cited
2009
Highly Cited
2009
Principal Component Analysis
  • Heng Tao Shen
  • Encyclopedia of Database Systems
  • 2009
    • Corpus ID: 2534141
The Karhunen-Lo eve basis functions, more frequently referred to as principal components or empirical orthogonal functions (EOFs… Expand
Review
2008
Review
2008
An Introduction To Compressive Sampling
Conventional approaches to sampling signals or images follow Shannon's theorem: the sampling rate must be at least twice the… Expand
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Highly Cited
2002
Highly Cited
2002
Sampling signals with finite rate of innovation
The authors consider classes of signals that have a finite number of degrees of freedom per unit of time and call this number the… Expand
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Review
1996
Review
1996
Two decades of array signal processing research: the parametric approach
The quintessential goal of sensor array signal processing is the estimation of parameters by fusing temporal and spatial… Expand
Highly Cited
1992
Highly Cited
1992
Digital Signal Processing: Principles, Algorithms, and Applications
1. Introduction. 2. Discrete-Time Signals and Systems. 3. The Z-Transform and Its Application to the Analysis of LTI Systems. 4… Expand
Highly Cited
1978
Highly Cited
1978
Digital Signal Processing
The Digital Signal Processing Group develops signal processing algorithms that span a wide variety of application areas including… Expand
Review
1974
Review
1974
A new look at the statistical model identification
The history of the development of statistical hypothesis testing in time series analysis is reviewed briefly and it is pointed… Expand
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