Digital Sampling Interpolation for Simultaneous Multi-Signal Measurement
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing methods for measuring and converting multiple analog signals simultaneously using a single analog/digital converter are costly, large, and introduce inaccuracy due to time offsets, making them unsuitable for applications like motor monitoring where simultaneous measurements are required.
Innovation Solution
A method that uses a single analog/digital converter to create original digital samples at successive sampling instants and combines them through interpolation to form derived digital samples representing the signal values at a reference instant, eliminating time offsets and allowing simultaneous measurements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multiple analog/digital converters are used to measure multiple signals simultaneously, then measurement accuracy is improved, but device complexity and cost increase
Solution Approach 1:
The measurement process is segmented into multiple sequential sampling phases, where a single converter measures different signals at different time intervals. The original samples from multiple signals are then combined through interpolation to reconstruct simultaneous measurement values, effectively dividing the simultaneous measurement task into sequential segments.
Solution Approach 2:
The invention creates digital copies of signal samples at different time instants and combines them through interpolation to generate a derived sample that represents the simultaneous state. This copying approach allows reconstruction of simultaneous measurement data without requiring multiple physical converters operating in parallel.
2Device complexity
If a single analog/digital converter is used to measure multiple signals sequentially, then device complexity is reduced, but measurement accuracy deteriorates due to time offsets
Solution Approach 1:
The system performs preliminary sequential sampling of multiple signals at different time instants before combining them. By collecting original digital samples from each signal at their respective sampling times and then interpolating to a common reference instant, the method prepares the data in advance to eliminate time offset effects.
Solution Approach 2:
The invention changes the temporal parameter by introducing a reference instant that is offset from the actual sampling instants. By sampling at different times and then mathematically transforming these samples to a common reference time through interpolation, the system converts sequential measurements into equivalent simultaneous measurement data.
3Measurement precision
If software compensation is used to correct time offsets, then measurement accuracy is improved, but implementation complexity increases
Solution Approach 1:
The invention replaces complex software-based time offset compensation mechanisms with a simpler interpolation-based combining approach. Instead of requiring sophisticated algorithms to evaluate and correct temporal discrepancies, the system uses straightforward interpolation of original digital samples to directly generate accurate simultaneous measurement values.
Data Source
AI summary
A method for cadence detection in a sequence of video fields is based on at least a search for cadence patterns in a sequence of bits representative of the motion in at least a part of the field from one field to another in the field sequence. The signaling of field skip and/or field repeat commands as applied to the fields in the field sequence is considered during the cadence detection operation so as to field skips and repeats.