18524446. STEADY RANGE DETERMINATION SYSTEM, STEADY RANGE DETERMINATION METHOD, AND COMPUTER READABLE MEDIUM simplified abstract (Mitsubishi Electric Corporation)
Contents
- 1 STEADY RANGE DETERMINATION SYSTEM, STEADY RANGE DETERMINATION METHOD, AND COMPUTER READABLE MEDIUM
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 STEADY RANGE DETERMINATION SYSTEM, STEADY RANGE DETERMINATION METHOD, AND COMPUTER READABLE MEDIUM - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Potential Applications
- 1.6 Problems Solved
- 1.7 Benefits
- 1.8 Potential Commercial Applications
- 1.9 Possible Prior Art
- 1.10 Original Abstract Submitted
STEADY RANGE DETERMINATION SYSTEM, STEADY RANGE DETERMINATION METHOD, AND COMPUTER READABLE MEDIUM
Organization Name
Mitsubishi Electric Corporation
Inventor(s)
Masahiko Shibata of Tokyo (JP)
STEADY RANGE DETERMINATION SYSTEM, STEADY RANGE DETERMINATION METHOD, AND COMPUTER READABLE MEDIUM - A simplified explanation of the abstract
This abstract first appeared for US patent application 18524446 titled 'STEADY RANGE DETERMINATION SYSTEM, STEADY RANGE DETERMINATION METHOD, AND COMPUTER READABLE MEDIUM
Simplified Explanation
The patent application describes a device that determines a steady range of a multilevel signal in operation data by converting the signal into binary form and using a prediction model to calculate a probability of the signal value existing within a certain range.
- Conversion unit converts multilevel signal into binary signal using a threshold value.
- Prediction unit inputs binary signal into prediction model to calculate prediction value.
- Range determination unit calculates probability of signal value existing within determined range based on prediction value and threshold.
- Steady range of multilevel signal in operation data is determined based on probability.
Potential Applications
This technology could be applied in various fields such as telecommunications, data analysis, and signal processing where accurate determination of signal ranges is crucial.
Problems Solved
This technology solves the problem of accurately determining the steady range of multilevel signals in operation data, which can be challenging without the use of advanced prediction models and probability calculations.
Benefits
The benefits of this technology include improved accuracy in determining signal ranges, which can lead to better decision-making processes and more efficient data analysis.
Potential Commercial Applications
Potential commercial applications of this technology include telecommunications equipment, data analysis software, and signal processing devices.
Possible Prior Art
One possible prior art for this technology could be existing signal processing algorithms that aim to determine signal ranges in operation data, but may not utilize prediction models and probability calculations for accurate range determination.
Unanswered Questions
How does this technology compare to existing signal processing algorithms in terms of accuracy and efficiency?
This article does not provide a direct comparison between this technology and existing signal processing algorithms in terms of accuracy and efficiency.
What are the potential limitations or challenges of implementing this technology in real-world applications?
This article does not address the potential limitations or challenges of implementing this technology in real-world applications.
Original Abstract Submitted
A steady range determination device () determines a steady range of a multilevel signal in operation data containing the multilevel signal. A conversion unit () converts the multilevel signal into at least one binary signal with using a threshold value. A prediction unit () inputs the binary signal converted by the conversion unit () to a prediction model () and calculates a converted binary signal prediction value. A range determination unit () calculates, based on the converted binary signal prediction value and the threshold value, a probability that a signal value of the multilevel signal contained in the operation data exists in a range determined based on the threshold value. The range determination unit () determines the steady range of the multilevel signal contained in the operation data, on a basis of the probability.
