Dynamic Down Sampling for Maximum Signal Energy Capture
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Solution Overview
Problem
Existing down sampling methods fail to maximize the energy of the extracted down sampling points, as they typically extract points at fixed positions within sampling sequences, disregarding the varying energy levels across different sampling points.
Innovation Solution
A method and device that extract energy statistical values of sampling point sets and select the sampling position with the largest energy statistical value as the down sampling position, ensuring that the energy of the extracted down sampling points is maximized.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If down sampling is performed by extracting sampling points at fixed positions from each sampling sequence, then the down sampling process is simple and fast, but the energy of the extracted down sampling points cannot be maximized
Solution Approach 1:
The patent makes the down sampling position dynamic by selecting different sampling positions based on energy distribution characteristics. Instead of using a fixed position, the system dynamically determines the optimal sampling position that maximizes signal energy, thereby resolving the contradiction between simple processing and high signal quality.
Solution Approach 2:
The patent changes the sampling position parameter based on energy statistical values. By adjusting which sampling point is selected (changing the position parameter) according to energy distribution, the system achieves both efficient processing and maximized signal energy in the down sampled output.
2Device complexity
If down sampling extracts one sampling point from each sampling sequence at a fixed position, then the processing complexity is low, but the energy of down sampling points is not maximized
Solution Approach 1:
The patent performs preliminary calculation of energy statistical values for different sampling positions before actual down sampling. This preliminary action identifies the optimal sampling position in advance, allowing the main down sampling process to simply extract at the predetermined position, thus maintaining low processing complexity while ensuring maximum energy capture.
Solution Approach 2:
The system uses the energy distribution characteristics of the signal itself to determine the sampling position. The signal's own energy statistics guide the selection process, making the system adaptive without requiring external complex control mechanisms, thereby keeping processing complexity low while improving signal fidelity.
Data Source
AI summary
In the field of communications technologies, a down sampling method and a down sampling device are provided, to enable the energy of a down sampling point obtained in down sampling to be as large as possible. The down sampling method includes: extracting energy statistical values of sampling point sets in a current period; selecting a sampling position corresponding to a sampling point set with the largest energy statistical value as a down sampling position; and performing down sampling according to the down sampling position.