Digital Camera Pulse Phase Adjustment Using Signal Waveform Estimation
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Solution Overview
Problem
Existing digital camera systems face challenges in efficiently adjusting the phase of pulses driving imaging elements, particularly after replacement of imaging components, leading to time-consuming manual adjustments that affect working efficiency.
Innovation Solution
A phase adjustment device comprising a signal change differential value detector, an analog imaging signal waveform estimator, and a timing adjuster, which automatically calculates the optimal phase of imaging pulses based on signal change differential values and waveforms, reducing the need for manual intervention and speeding up the adjustment process.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual phase adjustment is performed by an engineer after manufacturing, then phase accuracy can be optimized, but adjustment time is excessive and working efficiency is reduced
Solution Approach 1:
The system performs automatic phase adjustment using embedded detection and calculation functions. The detection unit measures signal characteristics, the calculation unit determines optimal phase values, and the control unit applies adjustments without external engineer intervention, enabling the system to self-calibrate after imaging element replacement
Solution Approach 2:
The phase adjustment is performed automatically during system initialization or after imaging element replacement before actual imaging operations begin. The detection unit pre-measures signal characteristics and the calculation unit pre-determines optimal phase values, so the system is ready for immediate use without time-consuming manual adjustment
2Device complexity
If the same phase adjustment method is applied to all pulses regardless of characteristics, then the adjustment process is simplified, but calculation time increases significantly
Solution Approach 1:
The calculation unit applies different phase adjustment strategies tailored to specific pulse characteristics. Instead of using a uniform method for all pulses, the system analyzes individual pulse properties and selects appropriate adjustment approaches, optimizing both accuracy and speed for each pulse type
Solution Approach 2:
The system dynamically adjusts calculation parameters based on detected signal characteristics. The calculation unit modifies adjustment parameters according to the specific properties of each pulse being adjusted, enabling faster convergence to optimal phase values while maintaining accuracy
3Measurement precision
If individual phase calculation is performed for each pulse, then adjustment accuracy is improved, but the overall adjustment time becomes excessively long
Solution Approach 1:
The phase adjustment process is divided into independent parallel tasks for different pulses. The detection unit simultaneously measures characteristics of multiple pulses, and the calculation unit processes each pulse's optimal phase independently, allowing parallel execution that maintains individual accuracy while reducing total adjustment time
Solution Approach 2:
The automatic adjustment system continuously processes multiple pulses without interruption. While one pulse's phase is being calculated, other pulses are being measured and prepared for adjustment, maintaining continuous productive action throughout the adjustment process rather than sequential processing
Data Source
AI summary
A signal change differential value detector detects a signal change differential value between two digital signals obtained when the analog imaging signal is converted into the digital value for each pixel using two phase adjustment sampling pulses. An analog imaging signal waveform estimator estimates a waveform of the analog imaging signal based on the signal change differential value. A timing adjuster calculates an optimal phase of the imaging pulse based on the waveform of the analog imaging signal estimated by the analog imaging signal waveform estimator.