Signal processing

Known as: Signal processor, Signal, Signals processing 
Signal processing is an enabling technology that encompasses the fundamental theory, applications, algorithms, and implementations of processing or… (More)
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Adjoint filterAnalog delay lineAnalog signalAnalog signal processing
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Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Review
2017
Review
2017
Majorization-Minimization Algorithms in Signal Processing, Communications, and Machine Learning
This paper gives an overview of the majorization-minimization (MM) algorithmic framework, which can provide guidance in deriving… (More)
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Review
2017
Review
2017
Automotive Radars: A review of signal processing techniques
Automotive radars, along with other sensors such as lidar, (which stands for "light detection and ranging"), ultrasound, and… (More)
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Review
2017
Review
2017
An Overview on Time/Frequency Modulated Array Processing
Time and frequency modulated arrays have numerous application areas including radar, navigation, and communications. Specifically… (More)
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Review
2017
Review
2017
Nonlinear Fourier Transform for Optical Data Processing and Transmission: Advances and Perspectives
The nonlinear Fourier transform is a transmission and signal processing technique that makes positive use of the Kerr… (More)
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Review
2017
Review
2017
Light Field Image Processing: An Overview
Light field imaging has emerged as a technology allowing to capture richer visual information from our world. As opposed to… (More)
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Review
2017
Review
2017
Machine Learning Techniques for Optical Performance Monitoring From Directly Detected PDM-QAM Signals
Linear signal processing algorithms are effective in dealing with linear transmission channel and linear signal detection… (More)
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Highly Cited
2013
Highly Cited
2013
Discrete Signal Processing on Graphs
In social settings, individuals interact through webs of relationships. Each individual is a node in a complex network (or graph… (More)
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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… (More)
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Highly Cited
1995
Highly Cited
1995
Motion signal processing
Techniques from the image and signal processing domain can be successfully applied to designing, modifying, and adapting animated… (More)
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Highly Cited
1989
Highly Cited
1989
ESPRIT-estimation of signal parameters via rotational invariance techniques
High-resolution signal parameter estimation is a problem of significance in many signal processing applications. Such… (More)
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