Signal Histogram Circuit Decimation and Interpolation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing methods for determining signal histograms lose information by only considering peak values, ignoring the range between the maximum and minimum signal values, resulting in incomplete representation of the input signal.
Innovation Solution
A method and circuit that decimate the input signal to identify maximum and minimum values, and calculate an intermediate value to fill bins between them, ensuring the signal histogram accounts for the entire value range, including the behavior between peak values.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If peak detection approach is used to determine signal histogram, then processing speed is improved, but information completeness deteriorates
Solution Approach 1:
The patent segments the signal processing by dividing the signal into multiple periods and processing each period separately to identify peak values. This segmentation allows efficient processing while capturing essential signal characteristics across different time windows, resolving the contradiction between processing speed and information completeness.
Solution Approach 2:
The patent introduces an intermediary approach by using peak values as representative points that mediate between the complete signal data and the simplified histogram representation. Instead of processing all signal points or losing intermediate information, peak values serve as intermediaries that preserve essential signal characteristics while enabling efficient histogram generation.
2Device complexity
If only maximum and minimum peak values are considered, then device complexity is reduced, but measurement precision deteriorates
Solution Approach 1:
The patent applies partial action by selectively processing only the most significant signal characteristics (peak values) rather than all signal points. This partial processing approach reduces device complexity while maintaining adequate measurement precision for histogram generation, as peak values contain the essential information needed for accurate signal representation.
Data Source
AI summary
A method of determining a signal histogram having a predetermined number of bins. The method includes: receiving an input signal; decimating the input signal, thereby generating a decimated signal that includes a maximum signal value and a minimum signal value associated with the maximum signal value; assigning the maximum signal value to a maximum bin of a signal histogram; assigning the minimum signal value to a minimum bin of the signal histogram; and filling at least one intermediate bin of the signal histogram with an intermediate value, wherein the intermediate bin is located between the minimum bin and the maximum bin in the signal histogram.