Pseudorandom Converter Element Rotation for Nonlinearity Control
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Solution Overview
Problem
Electrical signal converters face non-linearity issues due to predictable usage of converter elements, leading to persistent errors in digital-to-analog and analog-to-digital conversions, which can be compounded by feedback loops.
Innovation Solution
Implementing a pseudorandom selection method using a delta-two-maximum pattern to rotate converter elements, ensuring that each cycle processes different elements, thereby reducing non-linearity and error accumulation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If converter elements are used in a predictable sequence, then the conversion process is simple and fast, but non-linearity errors occur and accumulate
Solution Approach 1:
The patent applies dynamics by making the converter element selection change over time rather than remaining static. The system dynamically rotates through different converter elements using a pseudorandom sequence, ensuring that no single element is overused and non-linearity errors are distributed and reduced across all elements over time.
Solution Approach 2:
The patent implements feedback by using a feedback loop that monitors conversion errors and adjusts the element selection sequence accordingly. The system measures the output errors and uses this information to modify which converter elements are activated in subsequent cycles, creating a closed-loop control system that continuously reduces non-linearity.
2Productivity
If the same converter elements are repeatedly used, then the conversion speed is maintained, but non-linearity errors persist and compound
Solution Approach 1:
The patent applies periodic action by implementing a rotating sequence of converter element activation. Instead of continuously using the same elements, the system periodically cycles through different elements in a pseudorandom sequence, ensuring that each element gets used but not excessively so, thereby maintaining speed while reducing accumulated errors.
Solution Approach 2:
The patent changes the operational parameters of the converter system by varying which elements are active at different times. The system modifies the activation state of converter elements based on a pseudorandom sequence, changing the effective configuration of the converter over time to minimize non-linearity while maintaining overall conversion performance.
3Measurement precision
If feedback loops are added to correct errors, then conversion accuracy improves, but the non-linearity from predictable element usage is amplified
Solution Approach 1:
The patent applies preliminary action by pre-planning the element selection sequence using a pseudorandom algorithm before conversion occurs. The system determines in advance which elements will be activated in each time period, preventing the amplification of non-linearity that would occur with reactive feedback adjustment, while still achieving error reduction through the distributed element usage pattern.
Data Source
AI summary
In one aspect, an electrical signal converter is disclosed. The exemplary electrical signal converter may include a plurality of ordered converter elements. Element selection logic may be provided to pseudorandomly select a pointer to a switch matrix, wherein the switch matrix maps converter elements according to a stepwise “delta-two-maximum pattern.” Advantageously, pseudorandom stepwise delta-two-maximum patterns may be applied both to a first order converter, and to a feedback converter for error correction.