Adaptive Down Sampling Using Maximum-Energy Point Selection
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Solution Overview
Problem
Existing down sampling methods fail to maximize the energy of the down sampling points, as they typically extract points at fixed positions within sampling sequences, disregarding varying energy levels across sampling points.
Innovation Solution
A down sampling device and method that extracts energy statistical values of sampling point sets, selects the sampling position with the largest energy statistical value as the down sampling position, and performs down sampling accordingly, ensuring the maximum energy extraction of down sampling points.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If down sampling is performed by extracting sampling points at fixed positions from each sampling sequence, then the down sampling process is simple and efficient, but the energy of the extracted down sampling points cannot be maximized
Solution Approach 1:
The patent transforms the static fixed-position extraction method into a dynamic adaptive selection method. The down sampling position is no longer fixed but dynamically determined based on the energy characteristics of each sampling sequence. The system calculates energy values for different sampling positions and adaptively selects the position with maximum energy, making the extraction process responsive to signal characteristics rather than following a predetermined pattern.
Solution Approach 2:
The patent changes the selection criterion from a fixed positional parameter to a variable energy parameter. Instead of always extracting from the same position (e.g., first position), the system evaluates energy values at different positions and selects based on the energy parameter. This parameter change enables the system to adapt to varying signal conditions and maximize the energy of extracted down sampling points.
2Device complexity
If down sampling is performed by extracting sampling points at fixed positions from each sampling sequence, then the processing complexity is reduced, but the fidelity and quality of the down sampled signal deteriorates
Solution Approach 1:
The patent applies preliminary action by calculating and comparing energy values at different sampling positions before actually performing the down sampling extraction. This preliminary energy evaluation step allows the system to identify the optimal extraction position in advance, ensuring that the subsequent down sampling operation captures the most energetic (and thus most informative) sampling point. This preliminary analysis improves signal fidelity without adding excessive complexity to the main processing path.
3Reliability
If the sampling rate is increased to multi-times rate to improve SNR and signal fidelity, then the quality of signal restoration is improved, but the complexity of demodulation increases
Solution Approach 1:
The patent applies the extraction principle by selectively taking out only the most important sampling points (those with maximum energy) from the high-rate sampling sequence. Instead of processing all sampling points or using a fixed subset, the system extracts specifically the high-energy points that carry the most signal information. This selective extraction maintains signal fidelity while reducing the number of points that need to be processed during demodulation, thereby reducing complexity.
Data Source
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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. The down sampling device includes: an extraction unit, configured to extract energy statistical values of sampling point sets in a current period; a selection unit, configured to select a sampling position corresponding to a sampling point set with the largest energy statistical value as a down sampling position; and a down sampling unit, configured to perform down sampling according to the down sampling position. The down sampling method and the down sampling device are applicable to signal processing.