ℓ&lt;inf&gt;1&lt;/inf&gt; Adaptive trend filter via fast coordinate descent

Souto, Mario; Garcia, Joaquim Dias; Amaral, Gustavo C.

doi:10.1109/sam.2016.7569706

Cited by 3 publications

(1 citation statement)

References 43 publications

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“…Even though the detection of such peaks could be included in the analysis algorithm [49], the main interest is in the detection of the trend breaks which indicate the presence of faults. These peaks, as far as the LBI algorithm is concerned, are treated as outliers, when not included in the model, and do not compromise its performance.…”

Section: A Experimental Resultsmentioning

confidence: 99%

Linearized Bregman Iterations for Automatic Optical Fiber Fault Analysis

Lunglmayr¹,

Amaral²

2019

IEEE Trans. Instrum. Meas.

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Supervision of the physical layer of optical networks is an extremely relevant subject. To detect fiber faults, single-ended solutions such as the Optical Time Domain Reflectometer (OTDR) allow for precise measurements of fault profiles. Combining the OTDR with a signal processing approach for high-dimensional sparse parameter estimation allows for automated and reliable results in reduced time. In this work, a measurement system composed of a Photon-Counting OTDR data acquisition unit and a processing unit based on a Linearized Bregman Iterations algorithm for automatic fault finding is proposed. An in-depth comparative study of the proposed algorithm's fault-finding prowess in the presence of noise is presented. Characteristics such as sensitivity, specificity, processing time, and complexity, are analysed in simulated environments. Real-life measurements that are conducted using the Photon-Counting OTDR subsystem for data acquisition and the Linearized Bregman-based processing unit for automated data analysis demonstrated accurate results. It is concluded that the proposed measurement system is particularly well suited to the task of fault finding. The natural characteristic of the algorithm fosters embedding the solution in digital hardware, allowing for reduced costs and processing time.

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Section: A Experimental Resultsmentioning

confidence: 99%

Linearized Bregman Iterations for Automatic Optical Fiber Fault Analysis

Lunglmayr¹,

Amaral²

2019

IEEE Trans. Instrum. Meas.

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Centimeter-Resolution Long-Distance Optical Fiber Monitoring

Calliari

Herrera

Weid

et al. 2019

Springer Series in Optical Sciences

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Forty thousand kilometers under quantum protection

Kirsanov

Pastushenko

Kodukhov

et al. 2023

Sci Rep

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Quantum key distribution (QKD) is a revolutionary cryptography response to the rapidly growing cyberattacks threat posed by quantum computing. Yet, the roadblock limiting the vast expanse of secure quantum communication is the exponential decay of the transmitted quantum signal with the distance. Today’s quantum cryptography is trying to solve this problem by focusing on quantum repeaters. However, efficient and secure quantum repetition at sufficient distances is still far beyond modern technology. Here, we shift the paradigm and build the long-distance security of the QKD upon the quantum foundations of the Second Law of Thermodynamics and end-to-end physical oversight over the transmitted optical quantum states. Our approach enables us to realize quantum states’ repetition by optical amplifiers keeping states’ wave properties and phase coherence. The unprecedented secure distance range attainable through our approach opens the door for the development of scalable quantum-resistant communication networks of the future.

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ℓ<inf>1</inf> Adaptive trend filter via fast coordinate descent

Cited by 3 publications

References 43 publications

Linearized Bregman Iterations for Automatic Optical Fiber Fault Analysis

Linearized Bregman Iterations for Automatic Optical Fiber Fault Analysis

Centimeter-Resolution Long-Distance Optical Fiber Monitoring

Forty thousand kilometers under quantum protection

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