Sampled Data Compression by Detecting Slope Change Points
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Solution Overview
Problem
Current data compression techniques for sampled data, such as aperture sampling, do not provide sufficient compression for the increasing amounts of media content generated by electronic devices, leading to excessive storage space consumption and increased bandwidth and transmission time requirements.
Innovation Solution
An electronic device comprising a memory element and a processing element that analyzes the slopes of sampled data points, calculating differences and difference changes, and stores only data points where the slope changes significantly, thereby compressing the data effectively.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If traditional aperture sampling compression is used, then some data reduction is achieved, but the compression ratio is insufficient for the increasing amount of media content
Solution Approach 1:
The patent changes the parameter being analyzed from the original signal amplitude to the slope (first derivative) of the signal. By detecting changes in slope rather than raw amplitude values, the system achieves more effective compression while preserving significant signal characteristics. This parameter transformation allows for better discrimination of important data points versus redundant data points.
2Measurement precision
If more sampled data points are stored to maintain signal reconstruction quality, then reconstruction accuracy is improved, but storage space requirements increase
Solution Approach 1:
The patent extracts only the essential information from the sampled data by identifying and storing only those data points where significant slope changes occur. Rather than storing all sampled data points or using complex compression algorithms, the system extracts the critical change points that capture the most important signal characteristics, enabling efficient storage while maintaining reconstruction capability.
3Loss of information
If all sampled data points are transmitted, then complete information is preserved, but bandwidth and transmission time requirements increase
Solution Approach 1:
The patent applies partial action by transmitting only a subset of the sampled data points—specifically, those points where slope changes are detected. This partial transmission approach preserves the essential information needed for signal reconstruction while significantly reducing the total data volume transmitted, thereby lowering bandwidth requirements and transmission time.
Data Source
AI summary
An electronic device for compressing sampled data comprises a memory element and a processing element. The memory element is configured to store sampled data points and sampled times. The processing element is in electronic communication with the memory element and is configured to receive a plurality of sampled data points, a slope for each sampled data point in succession, the slope being a value of a change between the sampled data point and its successive sampled data point, and store the sampled data point in the memory element when the slope changes in value from a previous sampled data point.