Dynamic and adaptive optimization of read compare levels based on memory cell threshold voltage distribution
View Patent ↗A process is performed periodically or in response to an error in order to dynamically and adaptively optimize read compare levels based on memory cell threshold voltage distribution. One embodiment of the process includes determining threshold voltage distribution data for a population of non-volatile storage elements, smoothing the threshold voltage distribution data using a weighting function to create an interim set of data, determining a derivative of the interim set of data, and identifying and storing negative to positive zero crossings of the derivative as read compare points.
1. A method for operating non-volatile storage, comprising:
accessing threshold voltage distribution data for a population of non-volatile storage elements;
operating on the threshold voltage distribution data to create transformed threshold voltage distribution data; and
identifying read compare points based on the transformed threshold voltage distribution data;
replacing old read compare points with the identified read compare points; and
performing one or more read operations using the identified read compare points.
2. A method according to claim 1 , wherein the operating on the threshold voltage distribution data comprises:
calculating derivative information for the threshold voltage distribution data, the read compare points are identified from the derivative information.
3. A method according to claim 2 , wherein the operating on the threshold voltage distribution data comprises:
smoothing the threshold voltage distribution data prior to calculating the derivative information.
4. A method according to claim 3 , wherein the smoothing the threshold voltage distribution data comprises:
convolving the threshold voltage distribution data with a truncated Gaussian function to create an interim set of data, the derivative information is calculated from the interim set of data.
5. A method according to claim 3 , wherein the smoothing the threshold voltage distribution data comprises:
smoothing the threshold voltage distribution data using a weighted function to create an interim set of data, the derivative information is calculated from the interim set of data.
6. A method according to claim 5 , wherein:
the weighted function is a truncated Gaussian function multiplied by a sloped line.
7. A method according to claim 5 , wherein:
the weighting function is a skewed and truncated Gaussian function.
8. A method according to claim 5 , wherein:
the weighting function is skewed in a manner that changes the skew over the data set.
9. A method according to claim 5 , wherein:
the weighting function is a weighted moving average.
10. A method according to claim 3 , further comprising:
squaring the threshold voltage distribution data prior to smoothing.
11. A method according to claim 3 , further comprising:
applying a constant offset to the identified read compare points.
12. A method according to claim 3 , further comprising:
applying a changing offset to the identified read compare points.
13. A method according to claim 3 , wherein
the smoothing the data is performed with a low pass filter.
14. A method according to claim 3 , wherein the identifying read compare points includes:
identifying and storing negative to positive zero crossings in the derivative information.
15. A method according to claim 2 , wherein the identifying read compare points includes:
identifying and storing negative to positive zero crossings in the derivative information.
16. A method according to claim 1 , further comprising:
determining the threshold voltage distribution data.
17. A method according to claim 1 , wherein the operating on the threshold voltage distribution data to create transformed threshold voltage distribution data comprises:
convolving the threshold voltage distribution data with a Gaussian function.
18. A method according to claim 17 , wherein:
the Gaussian function is a truncated Gaussian function.
19. A method according to claim 17 , wherein:
the Gaussian function is a skewed and truncated Gaussian function.
20. A method according to claim 1 , wherein the operating on the threshold voltage distribution data to create transformed threshold voltage distribution data comprises:
convolving the threshold voltage distribution data with a function.
21. A method according to claim 1 , wherein the operating on the threshold voltage distribution data to create transformed threshold voltage distribution data includes:
squaring the threshold voltage distribution data.
22. A method according to claim 1 , further comprising:
applying one or more offsets to the read compare points.
23. A method according to claim 1 , further comprising:
applying a changing offset to the read compare points.
24. A method according to claim 1 , further comprising:
searching for minima in the threshold voltage distribution data near the read compare points;
replacing old read compare points with the minima; and
performing one or more read operations using the minima.
25. A method for operating non-volatile storage, comprising:
determining threshold voltage distribution data for a population of non-volatile storage elements;
smoothing said threshold voltage distribution data using a weighted function to create an interim set of data;
determining a derivative of the interim set of data;
identifying new read compare values based on negative to positive zero crossings of the derivative; and
performing one or more read operations using the new read compare values.
26. A method according to claim 25 , wherein:
the identifying new read compare values includes applying one or more offsets to the negative to positive zero crossings and storing the offset negative to positive zero crossings as the new read compare values.
27. A method according to claim 25 , wherein:
the new read compare values are indications of voltage levels for differentiating between multiple data states for multi-state flash memory.
28. A method for operating non-volatile storage, comprising:
determining threshold voltage distribution data for a population of flash memory devices;
convolving said threshold voltage distribution data with a Gaussian function to create an interim set of data;
determining a derivative of the interim set of data;
identifying negative to positive zero crossings of the derivative;
storing new read compare values based on the identified negative to positive zero crossings of the derivative; and
performing one or more read operations using the new read compare values.
29. A method according to claim 28 , wherein:
the storing new read compare values based on the identified negative to positive zero crossings of the derivative includes applying one or more offsets to the negative to positive zero crossings and storing the offset negative to positive zero crossings as the new read compare values.