Multi-Bit Memory Error Detection with Quantized Noise Filtering
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Solution Overview
Problem
Conventional sense amplifiers fail to accurately distinguish small differences in voltage or current levels in multi-bit memory elements due to noise, leading to inaccurate data reading and reduced memory density and performance in both memory and imaging devices.
Innovation Solution
A quantizing circuit that samples and filters electrical parameters to reduce noise, allowing for the detection of small differences and enabling the use of multi-bit memory elements and increased sensitivity in imaging devices, along with an error detection and correction module to ensure data integrity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional sense amplifiers are used to read multi-bit memory elements, then the memory device structure is simple, but the measurement precision deteriorates due to inability to distinguish small voltage differences
Solution Approach 1:
The patent divides the sensing process into multiple sequential steps, performing multiple measurements on the same memory element at different times. Each measurement samples the voltage level, and the results are combined through filtering to achieve higher precision than a single conventional sense amplifier could provide, thereby resolving the contradiction between measurement precision and device complexity
Solution Approach 2:
The patent applies preliminary filtering and noise reduction techniques to the voltage measurements before final data interpretation. By pre-processing the raw measurement data through multiple samples and filtering operations, the system achieves high measurement precision without requiring a fundamentally more complex sense amplifier structure
2Quantity of substance
If multi-bit memory elements are used to increase memory density, then the storage capacity increases, but the measurement precision deteriorates due to smaller voltage differences between states
Solution Approach 1:
The patent performs continuous or repeated measurements of the same memory element multiple times in succession. By taking multiple voltage samples and combining them through filtering, the system maintains high measurement precision even when the voltage differences between multi-bit states are very small, thereby enabling high memory density without sacrificing measurement accuracy
Solution Approach 2:
The patent applies noise filtering and signal processing techniques to the voltage measurements before final interpretation. This preliminary processing enhances the detectability of small voltage differences corresponding to multi-bit states, allowing high memory density to be achieved while maintaining the ability to accurately distinguish between closely spaced voltage levels
3Reliability
If the number of readable states is reduced to improve noise immunity, then the reliability improves, but the quantity of substance deteriorates due to reduced memory density
Solution Approach 1:
The patent performs multiple repeated measurements and combines the results through filtering to achieve high noise immunity. By accumulating information from multiple measurements rather than relying on a single high-threshold reading, the system maintains high reliability while being able to detect the smaller voltage differences associated with higher memory density configurations
Solution Approach 2:
The patent applies noise filtering and signal averaging to the measurement data before making final determinations about stored values. This preliminary noise reduction allows the system to maintain high reliability even when reading from multi-bit memory elements with closely spaced voltage levels, thereby preserving high memory density
Data Source
AI summary
Systems, methods, and devices are disclosed, including a device that includes a plurality of data locations, a quantizing circuit coupled to the plurality of data locations, and an error detection module coupled to the quantizing circuit. In some embodiments, the error detection module includes an encoder configured to encode incoming data with redundant data derived from the incoming data and a decoder configured to detect errors in stored data based on the redundant data.