Delta-Sigma Integrator Sensing for Multi-Bit Memory Noise Filtering

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Solution Overview

Problem

Conventional sense amplifiers struggle to accurately distinguish small differences in voltage or current levels in multi-bit memory elements and imaging devices due to noise interference, leading to reduced memory density and performance.

Innovation Solution

A quantizing circuit that samples electrical parameters multiple times and filters the samples 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.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Quantity of substance

If multi-bit memory elements are used to increase memory density, then storage capacity is improved, but the ability to accurately distinguish voltage levels deteriorates due to smaller voltage differences and noise interference

Engineering Contradiction:
Improvememory densityVSAvoidvoltage level distinction accuracy
Core Design Contradiction:
Quantity of substanceVSMeasurement precision

Solution Approach 1:

The sensing operation is divided into multiple discrete sampling steps rather than a single measurement. The sense amplifier performs sequential sampling of the memory element state, allowing the system to accumulate multiple measurements and distinguish voltage levels more accurately despite smaller voltage differences in multi-bit elements.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The sense amplifier performs periodic sampling operations at multiple time points during the sensing cycle. By repeatedly sampling the voltage level at different moments and comparing the results, the system can filter out noise and accurately determine the memory element state, enabling reliable multi-bit detection.

Inventive Principle:
Principle #19Periodic action

2Device complexity

If conventional sense amplifiers are used to read memory elements, then device simplicity is maintained, but noise susceptibility increases leading to inaccurate readings

Engineering Contradiction:
Improvesense amplifier structureVSAvoidreading accuracy
Core Design Contradiction:
Device complexityVSReliability

Solution Approach 1:

The sense amplifier performs preliminary sampling operations before the final read decision is made. Multiple preliminary samples are taken and processed to establish a reliable baseline measurement, which then informs the final state determination. This preliminary action allows the system to account for noise variations and achieve more reliable readings.

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The sense amplifier uses feedback mechanisms where previous sampling results influence subsequent sampling operations. The output from earlier sampling steps is fed back into the sensing process to adjust and refine the measurement, allowing the system to compensate for noise and achieve accurate readings of multi-bit memory elements.

Inventive Principle:
Principle #23Feedback

3Reliability

If the number of readable states is reduced to avoid noise interference, then reading reliability is improved, but memory density decreases

Engineering Contradiction:
Improvereading reliabilityVSAvoidmemory density
Core Design Contradiction:
ReliabilityVSQuantity of substance

Solution Approach 1:

By performing periodic sampling at multiple time points, the system can reliably distinguish between multiple voltage levels corresponding to different memory states. The repeated measurements allow the sense amplifier to filter noise and accurately determine the memory element state, enabling the system to maintain high reading reliability while supporting multiple readable states for increased memory density.

Inventive Principle:
Principle #19Periodic action

Data Source

PatentUS8102295B2Integrators for delta-sigma modulators
Publication Date: 2012.01.24 MICRON TECHNOLOGY INC
  • US8102295B2 patent drawing
  • US8102295B2 patent drawing
  • US8102295B2 patent drawing

AI summary

Methods, systems and devices are disclosed. Among the disclosed devices is an electronic device that, in certain embodiments, includes a plurality of memory elements or imaging elements connected to a bit-line and a delta-sigma modulator connected to the bit-line. The delta-sigma modulator may include an integrator having a differential amplifier.