US2014046631A1PendingUtilityA1

Method for adaptive data acquisition

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Assignee: UNIV COLUMBIAPriority: Jun 11, 2009Filed: Aug 9, 2013Published: Feb 13, 2014
Est. expiryJun 11, 2029(~2.9 yrs left)· nominal 20-yr term from priority
Inventors:Rui Manuel CastroJarvis HauptRobert David Nowak
H03M 7/3062G06F 17/18
38
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Claims

Abstract

Methods for adaptive data acquisition are disclosed herein. In one aspect, methods for adaptive data acquisition include performing a first sensing method on a signal having a plurality of components to determine the likelihood that a component is not a relevant signal component, retaining a portion of the signal components sensed using the first sensing method that are above a first threshold, performing a second sensing method on the signal components retained above a first threshold to determine the likelihood that a component is not a relevant signal component, wherein the second sensing method is more reliable than the first sensing method at determining the likelihood that a component is not a relevant signal component, and retaining a portion of the signal components sensed using the second sensing method that are above a second threshold.

Claims

exact text as granted — not AI-modified
1 . A method for adaptive data acquisition, comprising:
 (a) performing, by a sensor in communication with a data processor, a first sensing method on a signal having a plurality of components and determining, by the data processor, a first probability that a component is not a relevant signal component;   (b) comparing, by the data processor, the determined first probability for each of the plurality of components with a first threshold to determine a first subset of components that meet the first threshold;   (c) performing, by the sensor, a second sensing method on the first subset of components and determining, by the data processor, a second probability that a component is not a relevant signal component; and   (d) comparing, by the data processor, the determined second probability for each of the first subset of components with a second threshold to determine a second subset of components that meet the second threshold.   
     
     
         2 . The method of  claim 1 , further comprising:
 (e) performing, by the sensor, a third sensing method on the second subset of components and determining, by the data processor, a third probability that a component is not a relevant signal component; and   (f) comparing, by the data processor, the determined third probability for each of the second subset of components with a third threshold to determine a third subset of components that meet the third threshold.   
     
     
         3 . The method of  claim 1 , wherein the second sensing method comprises the same method of observation as the first sensing method. 
     
     
         4 . The method of  claim 1 , wherein the second sensing method comprises a different method of observation as the first sensing method. 
     
     
         5 . The method of  claim 2 , wherein the third sensing method comprises the same method of observation as the first or second sensing method. 
     
     
         6 . The method of  claim 2 , wherein the third sensing method comprises a different method of observation as the first and second sensing methods. 
     
     
         7 . The method of  claim 1 , wherein the first subset of components that meet the first threshold comprises about 25 percent to about 75 percent of the plurality of components of the signal. 
     
     
         8 . The method of  claim 1 , wherein the second subset of components that meet the second threshold comprises about 25 percent to about 75 percent of the first subset of components. 
     
     
         9 . The method of  claim 2 , wherein the third subset of components that meet the third threshold comprises about 25 percent to about 75 percent of the second subset of components. 
     
     
         10 . The method of  claim 1 , wherein the third subset of components comprises a majority of the relevant signal components. 
     
     
         11 . A method for adaptive data acquisition, comprising:
 (a) performing, by a sensor in communication with a data processor, a first sensing method on a signal having a plurality of components and determining, by the data processor, a first probability that a component is not a relevant signal component;   (b) comparing, by the data processor, the first probability for each of the plurality of components with a first threshold to determine a subset of components that meet the first threshold;   (c) performing, by the sensor, a further sensing method on the determined subset of components and determining, by the data processor, a further probability that a component is not a relevant signal component;   (d) comparing, by the data processor, the further probability for each of the subset of components with a further threshold to determine a subset of components that meet the further threshold; and   (e) if a predetermined number of sensing iterations have been performed or if a predetermined sensing budget is exhausted,
 identifying, by the data processor, a final subset of components, else repeating (c)-(e). 
   
     
     
         12 . The method of  claim 11 , wherein at least one further sensing method comprises the same method of observation as one or more previously-used sensing method. 
     
     
         13 . The method of  claim 11 , wherein at least one further sensing method comprises a different method of observation as each previously-used sensing method. 
     
     
         14 . The method of  claim 11 , wherein the subset of components that meet the first threshold comprises about 25 percent to about 75 percent of the plurality of components of the signal. 
     
     
         15 . The method of  claim 11 , wherein the subset of components that meet the first threshold comprises about half of the plurality of components of the signal. 
     
     
         16 . The method of  claim 11 , wherein the subset of components that meet the further threshold comprises about 25 percent to about 75 percent of the subset of components sensed in (c). 
     
     
         17 . The method of  claim 11 , wherein the subset of components that meet the further threshold comprises about half of the determined subset of components sensed in (c). 
     
     
         18 . The method of  claim 11 , wherein the predetermined number of sensing iterations is within a range of a constant multiple of log(log(n)) and a constant multiple of log(n), where n equals the total number of signal components. 
     
     
         19 . The method of  claim 11 , wherein a largest portion of the predetermined sensing budget is exhausted in (a). 
     
     
         20 . The method of  claim 11 , wherein a largest portion of the predetermined sensing budget is exhausted in a final iteration of (c). 
     
     
         21 . The method of  claim 11 , wherein the final subset of components comprises a subset of components determined in a final iteration of (c). 
     
     
         22 . The method of  claim 11 , wherein the final subset of components comprises a majority of the relevant signal components.

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