Signal Reconstruction
Simple SummaryContent extracted from patent full text and abstract with AI.
This invention describes a method for signal reconstruction where a detector collects measurement data, a computing unit reconstructs the signal using reconstruction parameters, and a neural network analyzes the reconstructed signal to determine disturbance characteristics. Based on this analysis, the system adapts the reconstruction parameters to improve the quality of the reconstructed signal.
Use CasesContent extracted from patent full text and abstract with AI.
- Medical imaging systems (such as CT or MRI) to enhance image quality by automatically adjusting reconstruction algorithms
- Industrial nondestructive testing to improve the accuracy of signal-based inspections
- Seismic data processing for oil and gas exploration, allowing for improved detection of subsurface features
- Signal processing in wireless communication infrastructure to reduce noise and interference
- Quality control in manufacturing lines where sensor signals need to be reconstructed and analyzed in real-time
BenefitsContent extracted from patent full text and abstract with AI.
- Improved signal or image quality through adaptive and automatic adjustment of reconstruction parameters
- Reduced human intervention by using neural networks for automatic analysis and adjustment
- Increased reliability and accuracy in applications that rely on precise signal reconstruction
- Ability to dynamically respond to varying types and characteristics of disturbances
- Potential to enhance diagnostic capabilities in medical imaging by producing clearer and more accurate images
Technical Classifications (CPCs)
Main Classifications
Health, Food & Consumer Tech
Physics & Measurement
Sub Classifications
Computing & Calculating
Medical & Vet Science
CPC Codes
Inventors & Applicants
Inventors
Applicants
Univ Friedrich Alexander Er
Siemens Healthcare Gmbh
Patent Abstract
Gemäß einem Verfahren zur Signalrekonstruktion werden mittels eines Detektors (3) Messwerte erzeugt und mittels einer Recheneinheit (4) wird basierend auf den Messwerten und einem Satz von Rekonstruktionsparametern ein Signal rekonstruiert. Das Signal wird mittels eines neuronalen Netzwerks (5) analysiert, und mittels der Recheneinheit (4) wird basierend auf dem Ergebnis der Analyse eine Charakteristik einer Störung bestimmt. Mittels der Recheneinheit (4) wird abhängig von der Charakteristik ein angepasster Satz von Rekonstruktionsparametern erzeugt.
Key Information
Publication No.
DE102020211032A1
Family ID
74876018
Publication Date
2021-04-08
Application No.
DE102020211032A
Application Date
2020-09-02
Priority Date
2019-10-02
Granted
No
Possible Cooperation
For further information please contact the transfer office.