A correlation operation method includes: first processing executed to match a signal level of an AC component contained in a first signal data string made up with a plurality of sets of first signal data with a signal level of an AC component contained in a second signal data string made up with a p
A correlation operation method includes: first processing executed to match a signal level of an AC component contained in a first signal data string made up with a plurality of sets of first signal data with a signal level of an AC component contained in a second signal data string made up with a plurality of sets of second signal data; and correlation degree calculation processing executed to calculate a correlation degree indicating a degree of correlation between the first signal data string and the second signal data string having undergone the first processing.
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What is claimed is: 1. A correlation operation method, comprising: executing a first processing to match a signal level of an AC component contained in a first signal data string with a signal level of an AC component contained in a second signal data string by canceling a gain difference between t
What is claimed is: 1. A correlation operation method, comprising: executing a first processing to match a signal level of an AC component contained in a first signal data string with a signal level of an AC component contained in a second signal data string by canceling a gain difference between the first signal data string and the second signal data string to create a first processed first signal data string and a first processed second signal data string; and calculating a correlation degree to obtain a degree of correlation between the first processed first signal data string and the first processed second signal data string, the first signal data string is made up with a plurality of sets of first signal data and the second signal data string is made up with a plurality of sets of second signal data. 2. A correlation operation method according to claim 1, further comprising: executing a second processing to match a signal level of a DC component contained in the first signal data string with a signal level of a DC component contained in the second signal data string by canceling an offset difference between the first signal data string and the second signal data string to create a second processed first signal data string and a second processed second signal data string, wherein: the first processing is executed on at least either the second processed first signal data string or the second processed second signal data string. 3. A correlation operation method, comprising: executing a first processing to match a signal level of an AC component contained in a first signal data string with a signal level of an AC component contained in a second signal data string by canceling a gain difference between the first signal data string and the second signal data string to create a first processed first signal data string and a first processed second signal data string, the first signal data string is made up with a plurality of sets of first signal data and the second signal data string is made up with a plurality of sets of second signal data; and calculating a correlation degree to obtain a degree of correlation between the first processed first signal data string and the first processed second signal data string, wherein in the calculation of the correlation degree: the first processed first signal data string and the first processed second signal data string are shifted relative to each other by a specific amount, and then data in the first processed first signal data string and data in the first processed second signal data string present at positions corresponding to each other are compared with each other through comparison operation; a cumulative quantity is determined by integrating absolute values resulting from the comparison operation executed for different sets of data in the first processed first signal data string and the second processed second signal data string present at corresponding positions, and also by varying the specific amount to which the first processed first signal data string and the first processed second signal data string are shifted relative to each other; and the correlation degree is determined by ascertaining a relative shift quantity indicating an amount of shift manifesting between the first processed first signal data string and the first processed second signal data string relative to each other based upon the specific amount at which the cumulative quantity assumes an extreme value. 4. A correlation operation method, comprising: executing a first processing to match a signal level of an AC component contained in a first signal data string with a signal level of an AC component contained in a second signal data string by canceling a gain difference between the first signal data string and the second signal data string to create a third signal data string and a fourth signal data string, the first signal data string is made up with a plurality of sets of first signal data and the second signal data string is made up with a plurality of sets of second signal data; and calculating a correlation degree to obtain a degree of correlation between the third signal data string and the fourth signal data string, wherein: in executing the first processing, the third signal data string is generated by normalizing the first signal data string and the fourth signal data string is generated by normalizing the second signal data string, the first signal data string being normalized by taking an absolute value of the plurality of sets of first signal data to create an absolute set of first signal data, calculating the sum of the absolute set of first signal data to create a sum of first signal data, and then dividing the first signal data string by the sum of the first signal data, and the second signal data string being normalized by taking an absolute value of the plurality of sets of second signal data to create an absolute set of second signal data, calculating the sum of the absolute set of second signal data to create a sum of second signal data, and then dividing the second signal data string by the sum of second signal data. 5. A correlation operation method, comprising: executing a first processing to match a signal level of an AC component contained in a first signal data string with a signal level of an AC component contained in a second signal data string by canceling a gain difference between the first signal data string and the second signal data string to create a third signal data string and a fourth signal data string, the first signal data string is made up with a plurality of sets of first signal data and the second signal data string is made up with a plurality of sets of second signal data; and calculating a correlation degree to obtain a degree of correlation between the third signal data string and the fourth signal data string, wherein: in executing the first processing, the third signal data string is generated by normalizing the first signal data string and the fourth signal data string is generated by normalizing the second signal data string, the first signal data string being normalized by taking an absolute value of the plurality of sets of first signal data to create an absolute set of first signal data, calculating the sum of the absolute set of first signal data to create a sum of first signal data, and then dividing the first signal data string by the sum of the first signal data, and the second signal data string being normalized by taking an absolute value of the plurality of sets of second signal data to create an absolute set of second signal data, calculating the sum of the absolute set of second signal data to create a sum of second signal data, and then dividing the second signal data string by the sum of second signal data; and in the calculation of the correlation degree, the third signal data string and the fourth signal data string are shifted relative to each other by a specific amount, then data in the third signal data string and data in the fourth signal data string present at positions corresponding to each other are compared with each other through comparison operation, a cumulative quantity is determined by integrating absolute values resulting from the comparison operation executed for different sets of data in the third signal data string and the fourth signal data string present at corresponding positions, and also by varying the specific amount to which the third signal data string and the fourth signal data string are shifted relative to each other, and the correlation degree of the correlation between the first signal data string and the second signal data string is determined by ascertaining a relative shift quantity indicating an amount of shift manifesting between the third signal data string and the fourth signal data string relative to each other based upon the specific amount at which the cumulative quantity assumes an extreme value. 6. A correlation operation method, comprising: executing a first processing to match a signal level of an AC component contained in a first signal data string with a signal level of an AC component contained in a second signal data string by canceling a gain difference between the first signal data string and the second signal data string to create a third signal data string and a fourth signal data string, the first signal data string is made up with a plurality of sets of first signal data and the second signal data string is made up with a plurality of sets of second signal data; and calculating a correlation degree to obtain a degree of correlation between the third signal data string and the fourth signal data string, wherein: in executing the first processing, the third signal data string is generated by normalizing the first signal data string and the fourth signal data string is generated by normalizing the second signal data string, the first signal data string being normalized by taking an absolute value of the plurality of sets of first signal data to create an absolute set of first signal data, calculating the sum of the absolute set of first signal data to create a sum of first signal data, and then dividing the first signal data string by the sum of the first signal data, and the second signal data string being normalized by taking an absolute value of the plurality of sets of second signal data to create an absolute set of second signal data, calculating the sum of the absolute set of second signal data to create a sum of second signal data, and then dividing the second signal data string by the sum of second signal data; and in calculating the correlation degree, a correlation degree indicating a degree of correlation between the third signal data string and the fourth signal data string is calculated based upon a total sum of absolute values representing differences between first data in the third signal data string and second data in the fourth signal data string corresponding to the first data. 7. A correlation operation method, comprising: executing a first processing to match a signal level of an AC component contained in a first signal data string with a signal level of an AC component contained in a second signal data string by canceling a gain difference between the first signal data string and the second signal data string to create a third signal data string and a fourth signal data string, the first signal data string is made up with a plurality of sets of first signal data and the second signal data string is made up with a plurality of sets of second signal data; and calculating a correlation degree to obtain a degree of correlation between the third signal data string and the fourth signal data string, wherein: in executing the first processing, the third signal data string is generated by normalizing the first signal data string and the fourth signal data string is generated by normalizing the second signal data string, the first signal data string being normalized by taking an absolute value of the plurality of sets of first signal data to create an absolute set of first signal data, calculating the sum of the absolute set of first signal data to create a sum of first signal data, and then dividing the first signal data string by the sum of the first signal data, and the second signal data string being normalized by taking an absolute value of the plurality of sets of second signal data to create an absolute set of second signal data, calculating the sum of the absolute set of second signal data to create a sum of second signal data, and then dividing the second signal data string by the sum of second signal data; and in the calculation of the correlation degree, the third signal data string and the fourth signal data string are shifted relative to each other by a specific amount, then a difference between data in the third signal data string and data in the fourth signal data string present at positions corresponding to each other is calculated, a cumulative quantity is determined by integrating absolute values representing differences determined for different sets of data in the third signal data string and the fourth signal data string present at corresponding positions to each other and also by altering the specific amount to which the third signal data string and the fourth signal data string are shifted relative to each other, and the correlation degree is determined by ascertaining a relative shift quantity indicating an amount of shift manifesting between the third signal data string and the fourth signal data string relative to each other based upon the specific amount at which the cumulative quantity assumes an extreme value. 8. A correlation operation method according to claim 4, wherein the correlation degree calculation processing includes: first information generation processing executed to generate first operation data by multiplying first data in the third signal data string by data present near second data in the fourth signal data string corresponding to the first data; second information generation processing executed to generate second operation data by multiplying the second data in the fourth signal data string by data present near the first data in the third signal data string; and processing executed to calculate a correlation degree indicating a degree of correlation between the first operation data and the second operation data. 9. A correlation operation method according to claim 4, wherein: the correlation degree calculation processing is executed at each shift position assumed as the third signal data string and the fourth signal data string are shifted relative to each other along a direction in which the data in the data strings are strung. 10. A correlation operation device, comprising: a correlation operation unit that calculates a correlation degree indicating a degree of correlation between a first signal data string and a second signal data string, both the first signal data string and the second signal data string having undergone first processing executed to match a signal level of an AC component contained in the first signal data string with a signal level of an AC component contained in the second signal data string, by canceling a gain difference between the first signal data string and the second signal data string to create a first processed first signal data string and a first processed second signal data string, the first signal data string is made up with a plurality of sets of first signal data and the second signal data string is made up with a plurality of sets of second signal data. 11. An arithmetic operation device according to claim 10, wherein: the correlation operation unit also executes second processing for matching a signal level of a DC component contained in the first signal data string with a signal level of a DC component contained in the second signal data string by canceling an offset difference between the first signal data string and the second signal data string to create a second processed first signal data string and a second processed second signal data string, and executes the first processing on at least either of the second processed first signal data string or the second processed second signal data string, the first signal data string is made up with a plurality of sets of first signal data and the second signal data string is made up with a plurality of sets of second signal data. 12. A correlation operation device, comprising: a normalization unit that generates a third signal data string by normalizing a first signal data string, and generates a fourth signal data string by normalizing a second signal data string, the first signal data string is made up with a plurality of sets of first signal data and the second signal data string is made up with a plurality of sets of second signal data, and the first signal data string being normalized by taking an absolute value of the plurality of sets of first signal data to create an absolute set of first signal data, calculating the sum of the absolute set of first signal data to create a sum of first signal data, and then dividing the first signal data string by the sum of first signal data, the second signal data string being normalized by taking an absolute value of the plurality of sets of second signal data to create an absolute set of second signal data, calculating the sum of the absolute set of second signal data to create a sum of second signal data, and then dividing the second signal data string by the sum of second signal data; and a correlation degree calculation unit that calculates a correlation degree indicating a degree of correlation between the third signal data string and the fourth signal data string. 13. A correlation operation device according to claim 12, further comprising: an average value subtraction unit that generates a fifth signal data string constituted with sets of fifth signal data each obtained by subtracting an average value of values indicated by the plurality of sets of first signal data from a set of data in the first signal data string, and a sixth signal data string constituted with sets of sixth signal data each obtained by subtracting an average value of values indicated by the plurality of sets of second signal data from a set of data in the second signal data string, wherein: the normalization unit generates the third signal data string by normalizing the fifth signal data string and generates the fourth signal data string by normalizing the sixth signal data string, the fifth signal data string being normalized by taking an absolute value of the plurality of sets of fifth signal data to create an absolute set of fifth signal data, calculating the sum of the absolute set of fifth signal data to create a sum of fifth signal data, and then dividing the fifth signal data string by the sum of the fifth signal data, and the sixth signal data string being normalized by taking an absolute value of the plurality of sets of sixth signal data to create an absolute set of sixth signal data, calculating the sum of the absolute set of sixth signal data to create a sum of sixth signal data, and then dividing the sixth signal data string by the sum of sixth signal data. 14. A correlation operation device according to claim 12, wherein: the correlation degree calculation unit calculates the correlation degree between the third signal data string and the fourth signal data string in correspondence to a total sum of absolute values each representing a difference between first data in the third signal data string and second data in the fourth signal data string corresponding to the first data. 15. A correlation operation device according to claim 12, wherein: the correlation degree calculation unit includes a first information generation unit that generates first operation data by multiplying first data in the third signal data string by data present near second data in the fourth signal data string corresponding to the first data, and a second information generation unit that generates second operation data by multiplying the second data in the fourth signal data string by data present near the first data in the third signal data string; and the correlation degree calculation unit calculates a correlation degree indicating a degree of correlation between the first operation data and the second operation data. 16. A focus detection device, comprising: a photoelectric conversion element that receives via a focus detection optical system light fluxes having passed through a pair of pupil areas at a photographic optical system and outputs a pair of subject image signals; an image shift detection unit that determines a correlation degree indicating a degree of correlation between the pair of subject image signals output from the photoelectric conversion element by adopting a correlation operation method according to claim 1 and detects an image shift quantity indicating an amount of image shift manifested by images formed through the photographic optical system based upon the correlation degree; and a focus detection unit that detects a state of focus adjustment at the photographic optical system based upon the image shift quantity. 17. A focus detection device, comprising: a photoelectric conversion unit that includes a micro-lens and a photoelectric conversion element, receives at the photoelectric conversion element via the micro-lens light fluxes having passed through a pair of pupil areas at a photographic optical system and outputs a pair of subject image signals; an image shift detection unit that determines a correlation degree indicating a degree of correlation between the pair of subject image signals output from the photoelectric conversion unit by adopting a correlation operation method according to claim 1 and detects an image shift quantity indicating an amount of image shift manifested by images formed through the photographic optical system based upon the correlation degree; and a focus detection unit that detects a state of focus adjustment at the photographic optical system based upon the image shift quantity. 18. A focus detection device according to claim 16, wherein: the focus detection optical system is an image reforming optical system that reforms onto the photoelectric conversion element a subject image having been formed on a predetermined focal plane of the photographic optical system. 19. An imaging device, comprising: a focus detection device according to claim 16; and an image sensor that captures an image formed through the photographic optical system having undergone focus adjustment executed based upon the state of focus adjustment detected by the focus detection device.
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