Spectral Data Visualization with Independent Axis Resolution
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing methods for visualizing spectral data of radiofrequency signals require recalculating the entire image when zooming, leading to inefficient user experience as users cannot smoothly zoom in or out without waiting for the image to be recalculated.
Innovation Solution
A method that allows independent resolution settings for the x-axis and y-axis, enabling users to zoom in or out on one axis without affecting the other, and calculates pixel values based on subsets of data, allowing for dynamic and flexible image representation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the entire image is recalculated when zooming, then the image representation accuracy is maintained, but the user experience deteriorates due to waiting time
Solution Approach 1:
The patent divides the spectral data into multiple resolution levels or layers, where each layer represents a portion of the data at different detail levels. When zooming is required, only the relevant layer needs to be recalculated and displayed, rather than the entire image. This segmentation allows the system to maintain accuracy for the zoomed portion while avoiding the time cost of recalculating the complete image dataset.
2Ease of operation
If the image is recalculated at new resolution, then the zoom functionality is achieved, but the operational efficiency decreases
Solution Approach 1:
The patent pre-calculates and stores spectral data at multiple resolution levels before the user initiates a zoom operation. When zooming is required, the system can immediately display the pre-computed data at the desired resolution without waiting for real-time recalculation. This preliminary preparation of data at various resolutions enables smooth zooming while maintaining high operational efficiency.
3Adaptability or versatility
If independent resolution control for each axis is implemented, then the adaptability is improved, but the device complexity increases
Solution Approach 1:
The patent segments the spectral data processing into independent operations for each axis. The data is organized such that time-axis and frequency-axis resolutions can be controlled separately through independent processing streams or data structures. This segmentation enables flexible, independent resolution control for each axis while managing complexity through modular processing architecture.
Data Source
AI summary
A method for visualizing a data set as an image on a display having an x-axis and a y-axis is described. The data set comprises a plurality of values, each value of the plurality of values being associated to a respective point in a first dimension and a respective point in a second dimension, wherein the first dimension and the second dimension are assigned to the x-axis and the y-axis, respectively. A first resolution value for the image in the direction of the x-axis, and a second resolution value for the image in the direction of the y-axis are provided, wherein the first resolution value and the second resolution value are independent from each other. Based on the first resolution value and the second resolution value, the image is calculated as a representation of the data set. Further, a data processing device and a computer-readable storage medium are described.