International audienceSelf-mixing interferometry (SMI) is an attractive sensing scheme which typically relies on mono-modal operation of employed laser diode. However, change in laser modality can occur due to change in operating conditions. So, detection of occurrence of multi-modality in SMI signals is necessary to avoid erroneous metric measurements. Typically, processing of multi-modal SMI signals is a difficult task due to the diverse and complex nature of such signals. However, the proposed techniques can significantly ease this task by identifying the modal state of SMI signals with 100% success rate, so that interferometric fringes can be correctly interpreted for metric sensing applications
8 pagesInternational audienceThis paper presents a different approach to classify Self-Mixing (SM) s...
By means of experimental and theoretical investigations a much better understanding of the prior to ...
8 pagesInternational audienceThis paper presents a different approach to classify Self-Mixing (SM) s...
International audienceSelf-mixing interferometry (SMI) is an attractive sensing scheme which typical...
International audienceLaser feedback-based self-mixing interferometry (SMI) has been demonstrated fo...
International audienceLaser feedback-based self-mixing interferometry (SMI) has been demonstrated fo...
International audienceLaser feedback-based self-mixing interferometry (SMI) has been demonstrated fo...
This paper reviews the self-mixing interference (SMI) in terms of its operation principle, the featu...
International audienceCorrect detection of interferometric fringes is necessary to enable high resol...
International audienceCorrect detection of interferometric fringes is necessary to enable high resol...
International audienceSelf-Mixing (SM) is a promising technique for sensing vibration, distance, vel...
Self-mixing interferometry (SMI) is a promising sensing technology. As well as its compact structure...
Self-mixing interferometry (SMI) is a promising sensing technology. As well as its compact structure...
Self-Mixing (SM) is a promising technique for sensing vibration, distance, velocity etc. To retrieve...
Self-Mixing (SM) is a promising technique for sensing vibration, distance, velocity etc. To retrieve...
8 pagesInternational audienceThis paper presents a different approach to classify Self-Mixing (SM) s...
By means of experimental and theoretical investigations a much better understanding of the prior to ...
8 pagesInternational audienceThis paper presents a different approach to classify Self-Mixing (SM) s...
International audienceSelf-mixing interferometry (SMI) is an attractive sensing scheme which typical...
International audienceLaser feedback-based self-mixing interferometry (SMI) has been demonstrated fo...
International audienceLaser feedback-based self-mixing interferometry (SMI) has been demonstrated fo...
International audienceLaser feedback-based self-mixing interferometry (SMI) has been demonstrated fo...
This paper reviews the self-mixing interference (SMI) in terms of its operation principle, the featu...
International audienceCorrect detection of interferometric fringes is necessary to enable high resol...
International audienceCorrect detection of interferometric fringes is necessary to enable high resol...
International audienceSelf-Mixing (SM) is a promising technique for sensing vibration, distance, vel...
Self-mixing interferometry (SMI) is a promising sensing technology. As well as its compact structure...
Self-mixing interferometry (SMI) is a promising sensing technology. As well as its compact structure...
Self-Mixing (SM) is a promising technique for sensing vibration, distance, velocity etc. To retrieve...
Self-Mixing (SM) is a promising technique for sensing vibration, distance, velocity etc. To retrieve...
8 pagesInternational audienceThis paper presents a different approach to classify Self-Mixing (SM) s...
By means of experimental and theoretical investigations a much better understanding of the prior to ...
8 pagesInternational audienceThis paper presents a different approach to classify Self-Mixing (SM) s...