Parametric Signal Restoration for DC Removal and Dynamic Range
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Solution Overview
Problem
Existing measurement systems in flow cytometers and hematology instruments face challenges in providing sufficient dynamic range and fidelity due to limitations in existing restoration circuitry, which fails to effectively remove DC components from electronic signals without compromising the time-varying components.
Innovation Solution
The development of high-resolution parametric signal restorers that generate multiple output signals with different gains, using a parametric compensator to adjust for signal content perturbations such as DC, noise, and signal undershoot, and incorporating feedback mechanisms to improve dynamic range and fidelity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If AC coupling circuits are used to remove DC components, then the DC component is removed from signals, but the complexity of the circuit increases and dynamic range is limited
Solution Approach 1:
The restoration circuit is divided into multiple independent modules: a first restoration circuit for baseline restoration and a second restoration circuit for further signal processing. Each module handles specific aspects of DC removal and signal restoration, reducing the complexity of any single module while maintaining overall system effectiveness.
Solution Approach 2:
The patent introduces a multi-output architecture that generates multiple restored signals with different characteristics (e.g., different time constants or restoration aggressiveness). This dimensional expansion allows the system to provide both simple and complex restoration outputs simultaneously, addressing both fidelity requirements and complexity constraints.
2Adaptability or versatility
If existing restoration circuitry is used, then DC components are removed, but the dynamic range and fidelity are insufficient
Solution Approach 1:
The restoration circuits use dynamic time constants and adaptive restoration mechanisms that adjust their behavior based on the input signal characteristics. This allows the system to maintain high fidelity for small signals while achieving adequate dynamic range for large signals, resolving the contradiction between precision and adaptability.
Solution Approach 2:
The first restoration circuit performs preliminary DC removal and baseline restoration before the signal enters the second restoration circuit. This staged approach allows each circuit to operate within optimal ranges, improving both dynamic range and fidelity without requiring either circuit to handle the full range of signal variations alone.
3Quantity of substance
If noise-centering technique is used, then half of the noise population is above the signal baseline, but the other half is buried and cannot be converted
Solution Approach 1:
Instead of centering noise around the baseline (which buries half the noise population), the restoration circuits shift the baseline to place all noise above the reference level. This inversion of the noise-centering approach ensures that the entire noise population is visible and convertible by the acquisition system, eliminating information loss.
Data Source
AI summary
Provided are high-resolution parametric signal restoration systems, and applications thereof. Such systems include a multi-output module and a parametric compensator. The multi-output module provides a reference gain output signal and one or more higher gain output signals based on a single input signal. The parametric compensator independently responds to functional parameters of the one or more higher gain output signals to provide a compensation error signal. The single input signal is modified based on the compensation error signal.