Adaptive Signal Observation Device Using Compressed Sensing Filter Matrix
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Solution Overview
Problem
Conventional signal observation techniques using compressed sensing struggle to adaptively change the resolution of restored images based on environmental or purpose-specific requirements, as the number of pixels is dependent on the number of shutters in a shutter array, limiting flexibility.
Innovation Solution
A signal observation device with an input unit, an observation unit, a filter matrix, and a control unit that changes the states of the filter elements based on various observation matrices, allowing for flexible setting of the number of pixels independent of the filter elements, enabling adaptive resolution control.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the number of pixels in the restored image is determined by the number of shutters in a shutter array, then the image acquisition can be performed using compressed sensing, but the flexibility to adaptively change the resolution is limited
Solution Approach 1:
The patent divides the observation process into multiple stages by using a shutter array with multiple shutters that can be independently controlled. Each shutter corresponds to a specific region, allowing the system to segment the observation field and selectively observe different areas with different resolutions, thereby achieving flexible resolution adaptation without changing the overall device structure.
Solution Approach 2:
The patent implements dynamic control of the shutter array where the states of the plurality of shutters are changed based on observation matrices. This allows the system to dynamically adjust which regions are observed and at what resolution, enabling adaptive resolution changes during the observation process rather than being fixed by the physical shutter configuration.
2Measurement precision
If light detection is performed multiple times using a shutter array to acquire high-resolution images, then the image quality improves, but the observation time and number of operations increase
Solution Approach 1:
The patent applies partial observation by using the shutter array to selectively observe only specific regions of interest at high resolution, while other regions are observed at lower resolution or not at all. This partial observation strategy reduces the total number of detection operations needed compared to observing the entire field at maximum resolution, thereby reducing observation time while maintaining high resolution where needed.
Solution Approach 2:
The patent implements local quality enhancement by assigning different observation priorities to different regions. High-resolution observation is applied locally to regions of interest determined by the observation matrices, while other regions receive lower resolution observation. This localized approach achieves high measurement precision for critical areas without requiring multiple full-field detections, thus reducing overall observation time.
Data Source
AI summary
A signal observation includes an input unit that receives a first number of rows and a first number of columns; an observation unit that observes a volume of a target signal by using compressed sensing; a filter having a plurality of elements that are arranged in a matrix and that are capable of individually restricting the volume of the target signal to be transmitted to the observation unit; and a control unit that causes the observer to observe the volume of the target signal transmitted via the filter by changing states of the plurality of elements on the basis of a plurality of observation matrices each having a size determined on the basis of the received first number of rows and the received first number of columns.