Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Michel Allegue-Martinez"'
Autor:
Frank Knoefel, R. Bruce Wallace, Itaf Omar Joudeh, Ana-Maria Cretu, Michel Allegue-Martinez, Rafik Goubran
Publikováno v:
MeMeA
The recognition of human activities in real-time remains an important challenge to enable supportive residential well-being assessments. In this paper, we measure and assess patterns associated with dynamic human activities, such as the actions of si
Publikováno v:
Proceedings of the AAAI Conference on Artificial Intelligence. 31:4670-4677
Long-term automated monitoring of residential or small in- dustrial properties is an important task within the broader scope of human activity recognition. We present a device- free wifi-based localization system for smart indoor spaces, developed in
Publikováno v:
GlobalSIP
WiFi signals have tendency of getting disturbed by the motion of occupants and other movements in a zone. If we measure the level of this variation, it can represent the human activity in that zone. In this paper, we have proposed estimation of the o
Autor:
Michel Allegue-Martinez, Itaf Omar Joudeh, Abdulaziz Alkhalid, Frank Knoefel, R. Bruce Wallace, Ana-Maria Cretu, Rafik Goubran
Publikováno v:
MeMeA
Real-time recognition of human activities is an important functionality of smart spaces. It allows a wide range of security and healthcare applications. In this work, we use the Channel State Information (CSI) of WiFi signals to assess the patterns a
Publikováno v:
International Journal of Satellite Communications and Networking. 34:171-194
Summary A wide variety of imperfections impact end-to-end performance in multiple-carrier per transponder transparent satellite links. Analysis of the link architecture leads to the identification of the sources and characteristics of distortion expe
Publikováno v:
IEEE Transactions on Microwave Theory and Techniques. 63:745-753
A simple and flexible technique for improving the modeling and predistortion of power amplifiers is presented. The technique, which relies on the sparsity assumption for the kernel coefficients of the full Volterra (FV) behavioral model, combines a g
Publikováno v:
International Journal of Circuit Theory and Applications. 43:1703-1718
In this paper, a systematic method for the simulation of weakly and mildly nonlinear GaN FET amplifiers is reported. The core of the proposal is a third-order Volterra-based behavioral model with multi-spectral and multi-node capabilities that is for
Publikováno v:
IEEE Transactions on Microwave Theory and Techniques. 62:2499-2510
In this paper, an output-controllable digital predistortion (DPD) technique is proposed to partially inverse the nonlinear behavior of RF power amplifiers (PAs). Compared to the existing DPD, the proposed method changes the goal that the PA output mu
Publikováno v:
IEEE Transactions on Circuits and Systems I: Regular Papers. 60:3022-3032
This paper reports a systematic method for the computer-aided-design (CAD) simulation of GaN FET power amplifiers (PAs). The core of the proposal is a Volterra-based behavioral model (BM) with multi-spectral and multi-node capabilities, which black-b
Autor:
J. Navarro-Lazaro, Michel Allegue-Martinez, Javier Reina-Tosina, Maria J. Madero-Ayora, Carlos Crespo-Cadenas
Publikováno v:
Microwave and Optical Technology Letters. 54:826-829
This article focuses on low-frequency nonlinear memory effects caused by a power amplifier (PA). Two models have been adopted for the PA to perform simulations of an M-ary communications system, the memory polynomial model and a dynamic Volterra-base