Signal Waveform Analysis via Statistical Accumulation
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Solution Overview
Problem
Current communication circuits face challenges in directly probing internal high-speed signal waveforms without altering the signal, requiring significant resources and being limited by the presence of dedicated output pads and high-cost test equipment, and existing methods are restricted to systems with controllable transmitters and specific patterns.
Innovation Solution
A method and system that digitally sample signals at periodic intervals, accumulate counts relative to a threshold, and adjust sampling skew to determine the statistical distribution of the signal waveform, allowing for internal characterization without pre-defined bit sequences and using existing on-chip components.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If dedicated output pads with linear buffers are used to sample internal signals, then signal waveform analysis is enabled, but circuit area increases and bandwidth performance deteriorates
Solution Approach 1:
The patent creates a virtual copy of the signal waveform through statistical accumulation rather than physical duplication. By sampling the signal multiple times at different threshold levels and accumulating the results, the system reconstructs the waveform statistically, eliminating the need for dedicated physical output pads and linear buffers that would consume significant chip area.
Solution Approach 2:
The patent replaces the mechanical/physical sampling system (dedicated output pads, linear buffers, high-speed test equipment) with a statistical processing approach. Instead of using physical circuitry to hold and transfer the signal for measurement, the system uses multiple rapid digital samples accumulated at different thresholds to reconstruct the waveform, substituting hardware complexity with algorithmic processing.
2Measurement precision
If dedicated output pads with linear buffers are used for internal sampling, then signal characterization is enabled, but bandwidth is limited and performance deteriorates
Solution Approach 1:
The patent creates a virtual copy of the signal waveform through statistical accumulation rather than physical duplication. By sampling the signal multiple times at different threshold levels and accumulating the results, the system reconstructs the waveform statistically, eliminating the need for dedicated physical output pads and linear buffers that would consume significant chip area.
Solution Approach 2:
The patent replaces the mechanical/physical sampling system (dedicated output pads, linear buffers, high-speed test equipment) with a statistical processing approach. Instead of using physical circuitry to hold and transfer the signal for measurement, the system uses multiple rapid digital samples accumulated at different thresholds to reconstruct the waveform, substituting hardware complexity with algorithmic processing.
3Measurement precision
If high-speed test equipment is used for signal analysis, then measurement capability is improved, but cost increases substantially
Solution Approach 1:
The patent enables the communication circuit to perform its own self-diagnosis and waveform analysis using resources already present within the circuit itself. The existing logic elements, sample-and-hold circuits, and threshold comparators are repurposed to accumulate statistical waveform data, eliminating the need for external high-speed test equipment and substantially reducing characterization costs.
Solution Approach 2:
The patent makes existing circuit elements multi-functional. The same logic elements and sample-and-hold circuits that perform normal communication functions are also used for waveform characterization. This universal usage of existing resources eliminates the need for dedicated high-cost test equipment while maintaining full measurement capability.
4Ease of operation
If existing analysis systems use pre-defined test patterns, then measurement is simplified, but adaptability to arbitrary signals is reduced
Solution Approach 1:
The patent changes the fundamental parameter being measured from specific pattern recognition to statistical waveform characteristics. By accumulating sample counts at multiple threshold levels and combining these statistically, the system can characterize any signal waveform regardless of its content or pattern, providing universal adaptability while maintaining operational simplicity through automated statistical processing.
Data Source
AI summary
A method and system for analyzing a signal waveform that comprises digitally sampling a signal at a periodic sampling interval, and accumulating a count of samples of the signal at a given logic level relative to a threshold value over a given period. The threshold value is stepped through a series of values while the accumulating of samples is repeated at a series of different clock offsets. The accumulated counts permit a statistical distribution of the signal waveform to be determined. A signal density can also be calculated by determining the difference between the count of adjacent samples at successive threshold values.