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Jean-Yves Chouinard

Researcher at Laval University

Publications -  142
Citations -  1663

Jean-Yves Chouinard is an academic researcher from Laval University. The author has contributed to research in topics: Communication channel & Orthogonal frequency-division multiplexing. The author has an hindex of 20, co-authored 140 publications receiving 1542 citations. Previous affiliations of Jean-Yves Chouinard include University of Ottawa & Ottawa University.

Papers
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Journal ArticleDOI

A secure image encryption algorithm based on Rubik's cube principle

TL;DR: Experimental results and security analysis show that the proposed image encryption scheme not only can achieve good encryption and perfect hiding ability but also can resist exhaustive attack, statistical attack, and differential attack.
Journal ArticleDOI

Physical Layer Authentication for Mobile Systems with Time-Varying Carrier Frequency Offsets

TL;DR: A novel physical layer authentication scheme is proposed in this paper by exploiting the time-varying carrier frequency offset (CFO) associated with each pair of wireless communications devices to validate the feasibility of using CFO for authentication.
Journal ArticleDOI

Estimation of Gilbert's and Fritchman's models parameters using the gradient method for digital mobile radio channels

TL;DR: A digital mobile radio channel simulator based on Gilbert's and Fritchman's models with the parameter values as estimated using the gradient technique is presented.
Patent

Learning filters for enhancing the quality of block coded still and video images

TL;DR: In this paper, a learning filter generator is provided at the image encoder for generating a set of filters and associated filtering rules for filtering cross-boundary image patterns based on representative original and decoded training images using a supervised machine learning algorithm.
Journal ArticleDOI

Propagation loss prediction: A comparative study with application to the mobile radio channel

TL;DR: The method proposed by Hata, based on Okumura's results, and Allsebrook and Parsons' model, which provides an easy way to take into account the influence of buildings are the most complete and it is suggested to use them with the inclusion of an estimation of diffraction losses due to terrain.