DSP Signal Frame Segmentation for Noise Filtering
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Solution Overview
Problem
Conventional detection devices for physiological signals face significant noise interference, leading to inefficient use of computing resources and reduced signal quality analysis accuracy.
Innovation Solution
An electronic device equipped with a Digital Signal Processor (DSP) that divides digital signals into vital and non-vital frames based on a criterion, compares the total number of vital frames to a threshold, and calculates signal strength only when the vital frames exceed this threshold, thereby filtering out noise and enhancing accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional detection devices process all received frames, then complete signal analysis is achieved, but noise interference increases and computing resources are wasted
Solution Approach 1:
The patent segments the received frames into two distinct groups: vital frames containing meaningful physiological signals and non-vital frames containing noise. This segmentation is achieved by analyzing signal characteristics such as signal strength thresholds and variability patterns, allowing the system to process only the vital frames for final analysis, thereby reducing computational load while maintaining accuracy
Solution Approach 2:
The patent extracts and isolates the vital frames from the mixed signal stream by identifying frames that meet specific criteria (signal strength above threshold, appropriate variability characteristics). These extracted vital frames are then processed separately from the non-vital noise frames, eliminating the waste of computational resources on noisy data while preserving all meaningful signal information
2Productivity
If all frames are used for signal strength calculation, then complete data utilization is achieved, but noise-affected accuracy is reduced
Solution Approach 1:
The patent performs preliminary analysis of each frame to determine whether it is vital or non-vital before including it in signal strength calculations. This preliminary classification uses criteria such as signal strength thresholds and variability patterns, allowing the system to pre-filter out noisy frames and only incorporate clean, reliable frames into the final signal strength computation, thereby improving both efficiency and accuracy
Data Source
AI summary
An electronic device and a control method thereof are provided. The electronic device includes a DSP (Digital Signal Processor). The DSP receives a digital signal. The digital signal includes a plurality of frames. The DSP divides the plurality of frames into a vital group and a non-vital group according to a criterion. The DSP compares a total number of frames of the vital group with a threshold value. In response to the total number of frames of the vital group being greater than the threshold value, the DSP may calculate signal strength of the vital group.