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[IEEE 2018 11th International Symposium on Communication Systems, Networks and Digital Signal Processing (CSNDSP) - Budapest (2018.7.18-2018.7.20)] 2018 11th International Symposium on Communication Systems, Networks & Digital Signal Processing (CSNDSP) - Spatial Interpolation of Optical Wireless Impulse Responses
摘要： In this paper, spatial interpolation is proposed as a time-saving technique for the estimation of the different Optical Wireless Impulse Responses which result from the nodes’ position changes in the mobility modeling of wireless optical communications. Typically, in this kind of analysis, the time-dependent impulse response is calculated numerically at each point of the path. However, this approach may result prohibitive due to the computation time. In this work, a support domain distributed on the moving area is defined, and accurate impulse responses for the domain’s points are obtained using a Monte Carlo Ray Tracing algorithm. Then, using this support, Lagrange interpolation method is applied for quick calculation out-of-the-support positions’ impulse responses. In this way, the impulse response for those points included in nodes’ path can be obtained without a high time and computational cost. The Lagrange interpolants were essayed with successful results, suggesting that the proposed technique may become relevant in upcoming statistical modeling in mobility situations.
关键词： Spatial Interpolation,Impulse Response,Lagrange Interpolation,Monte Carlo Ray Tracing,Optical Wireless Communication
更新于2025-09-11 14:15:04
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Sistema de Imagen Secreta Compartida con Optimización de la Carga útil
摘要： In this paper an interpolation method based on (k,n)-threshold secret image sharing (SIS) scheme is proposed, in which the secret data are any binary data, such as images, audio, video, document and even executable files. The proposed scheme uses Lagrange polynomial in the Galois Field GF(28) to encode and decode the secret data in a lossless manner. The shared data are hidden into n camouflage images. In the decoding stage, at least k (≤n) camouflage images are required to reveal the secret data. To increase the payload of the secret data, Lagrange interpolation is solved in an iterative manner under GF(28). The experimental results show a higher payload of the secret data compared to those of other methods previously reported. Also, the quality of the camouflage images is higher than that of the conventional algorithms when the same amount of secret data is shared.
关键词： Lagrange interpolation,secret sharing,image secret sharing,payload
更新于2025-09-04 15:30:14