Spectrogram Contrast Adjustment via Noise Exclusion
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Solution Overview
Problem
In spectrogram displays, the low power level of actual radar signals makes them difficult to distinguish from background noise, leading to poor visual differentiation.
Innovation Solution
A measuring device and method that enhance contrast by calculating the frequency of occurrence of level values and excluding noise levels from the dynamic range, allowing the actual signal to be prominently displayed through adjusted color or brightness gradations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Illumination intensity
If the dynamic range includes all level values from minimum to maximum, then the full range of measured values is displayed, but the actual signal is not visually distinguishable from background noise
Solution Approach 1:
The patent extracts and excludes noise level values from the dynamic range calculation. The computer unit identifies and removes a specified proportion of level values that image noise before specifying the dynamic range, thereby isolating the actual signal from the noise background and enabling visual distinction.
Solution Approach 2:
The patent changes the parameter selection criteria for dynamic range specification. Instead of using all level values equally, it modifies the selection to exclude noise levels (identified by frequency of occurrence analysis), thereby transforming the contrast specification to enhance signal visibility.
2Loss of information
If noise level values are excluded from dynamic range specification, then signal visibility is enhanced, but the complexity of contrast adjustment increases
Solution Approach 1:
The system performs self-adjustment by automatically analyzing the frequency of occurrence of level values, identifying noise levels, and excluding them from dynamic range specification. This automated process eliminates the need for manual noise filtering while enhancing signal visibility.
Solution Approach 2:
The patent implements a feedback mechanism where the computer unit continuously analyzes the distribution of level values, determines which levels represent noise based on frequency of occurrence, and adjusts the dynamic range specification accordingly. This closed-loop approach automatically optimizes contrast without manual intervention.
Data Source
AI summary
A measuring device is used to increase a contrast of a plurality of measured values displayed in a spectrogram or spectral histogram and contains a data-acquisition unit, a computer unit and a statistic unit. The data-acquisition unit is embodied to detect a plurality of measured values to be displayed. The statistic unit is embodied to calculate a distribution which contains the frequency of occurrence for every level value of the measured values to be displayed. The computer unit is embodied to specify a dynamic range, over which the contrast extends. In this context, a specified proportion of the level values which image the noise are not used for the specification of the dynamic range.