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Characteristic function (convex analysis)

Known as: Characteristic function 
In the field of mathematics known as convex analysis, the characteristic function of a set is a convex function that indicates the membership (or non… 
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Related topics

Related topics

9 relations
Bipolar theoremConvex functionConvex optimizationDuality (optimization)

Broader (1)

Convex analysis

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2016
Highly Cited
2016
Steganalysis of LSB matching using differences between nonadjacent pixels
This paper models the messages embedded by spatial least significant bit (LSB) matching as independent noises to the cover image… 
Highly Cited
2014
Highly Cited
2014
Energy-Efficient Resource Sharing for Mobile Device-to-Device Multimedia Communications
Device-to-device (D2D) communications bring significant benefits to mobile multimedia services in local areas. However, these… 
Highly Cited
2007
Highly Cited
2007
Discrete Memoryless Interference and Broadcast Channels With Confidential Messages: Secrecy Rate Regions
We study information-theoretic security for discrete memoryless interference and broadcast channels with independent confidential… 
Highly Cited
2006
Highly Cited
2006
Suction Stress Characteristic Curve for Unsaturated Soil
The concept of the suction stress characteristic curve (SSCC) for unsaturated soil is presented. Particle-scale equilibrium… 
Highly Cited
2005
Highly Cited
2005
Steganalysis of LSB matching in grayscale images
We consider the problem of detecting spatial domain least significant bit (LSB) matching steganography in grayscale images, which… 
Highly Cited
2004
Highly Cited
2004
OFDM systems in the presence of phase noise: consequences and solutions
We provide an exact analysis of orthogonal frequency-division multiplexing (OFDM) performance in the presence of phase noise… 
Highly Cited
2003
Highly Cited
2003
Steganalysis of additive-noise modelable information hiding
The process of information hiding is modeled in the context of additive noise. Under an independence assumption, the histogram of… 
Highly Cited
2001
Highly Cited
2001
A Simple Option Formula for General Jump-Diffusion and Other Exponential Levy Processes
Option values are well-known to be the integral of a discounted transition density times a payoff function; this is just… 
Highly Cited
1997
Highly Cited
1997
Equilibrium Binding Agreements
Abstract We study equilibrium binding agreements, the coalition structures that form under such agreements, and the efficiency of… 
Highly Cited
1972
Highly Cited
1972
Filtering and detection for doubly stochastic Poisson processes
Equations are derived that describe the time evolution of the posterior statistics of a general Markov process that modulates the… 
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