Nec corporation (20240118128). SIGNAL PROCESSING APPARATUS, SIGNAL PROCESSING METHOD, AND NON-TRANSITORY COMPUTER READABLE MEDIUM simplified abstract

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SIGNAL PROCESSING APPARATUS, SIGNAL PROCESSING METHOD, AND NON-TRANSITORY COMPUTER READABLE MEDIUM

Organization Name

nec corporation

Inventor(s)

Sakiko Mishima of Tokyo (JP)

Wataru Kohno of Tokyo (JP)

Takashi Matsushita of Tokyo (JP)

Tomoyuki Hino of Tokyo (JP)

SIGNAL PROCESSING APPARATUS, SIGNAL PROCESSING METHOD, AND NON-TRANSITORY COMPUTER READABLE MEDIUM - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240118128 titled 'SIGNAL PROCESSING APPARATUS, SIGNAL PROCESSING METHOD, AND NON-TRANSITORY COMPUTER READABLE MEDIUM

Simplified Explanation

The signal processing apparatus described in the abstract is designed to analyze signals measured along an optical fiber to detect events based on the similarity between adjacent points.

  • Acquire signals measured by a signal measurement apparatus at multiple points along an optical fiber.
  • Determine the presence of an event based on the similarity of signals at adjacent points.

Potential Applications

This technology could be applied in various industries such as telecommunications, oil and gas, and structural health monitoring for detecting anomalies or events along optical fibers.

Problems Solved

1. Efficient detection of events or anomalies along optical fibers. 2. Improved monitoring and maintenance of optical fiber networks.

Benefits

1. Early detection of potential issues. 2. Enhanced reliability and performance of optical fiber systems.

Potential Commercial Applications

Optical fiber network monitoring systems for telecommunications companies. Structural health monitoring systems for infrastructure maintenance companies.

Possible Prior Art

One possible prior art could be the use of distributed fiber optic sensing systems for monitoring purposes in various industries.

Unanswered Questions

How does the apparatus differentiate between different types of events based on signal similarity?

The apparatus may use advanced algorithms or machine learning techniques to classify events based on the patterns of signal similarity detected.

What is the potential impact of false positives or false negatives in event detection?

False positives could lead to unnecessary maintenance actions, while false negatives could result in missed opportunities for preventive measures. It is essential to optimize the system to minimize these errors for reliable performance.


Original Abstract Submitted

a signal processing apparatus according to the present disclosure includes: at least one memory configured to store instructions; and at least one processor configured to execute the instructions to: acquire signals measured by a signal measurement apparatus at a plurality of points located along an optical fiber; and determine whether there is an event based on a degree of similarity between the signals measured at points adjacent points.