Abstract: Local terrain feature location data is obtained from a local sensor device at a user location without a prior-known global position. The local terrain feature location data characterizes relative distances and directions to a plurality of local terrain features nearest to the user location. Global terrain feature location data stored in at least one hardware memory device is accessed. The global terrain feature location data characterizes relative distances and directions between a plurality of distinctive terrain features located in a defined terrain region in terms of absolute global location coordinates. The local terrain feature location data is compared to the global terrain feature location data to develop multiple pattern matching hypotheses, wherein each pattern matching hypothesis characterizes a likelihood of a subset of the local terrain features matching a subset the global terrain features. Global location coordinates for the user location is then determined from the pattern matching hypotheses.

Abstract: Local terrain feature location data is obtained from a local sensor device at a user location without a prior-known global position. The local terrain feature location data characterizes relative distances and directions to a plurality of local terrain features nearest to the user location. Global terrain feature location data stored in at least one hardware memory device is accessed. The global terrain feature location data characterizes relative distances and directions between a plurality of distinctive terrain features located in a defined terrain region in terms of absolute global location coordinates. The local terrain feature location data is compared to the global terrain feature location data to develop multiple pattern matching hypotheses, wherein each pattern matching hypothesis characterizes a likelihood of a subset of the local terrain features matching a subset the global terrain features. Global location coordinates for the user location is then determined from the pattern matching hypotheses.

Abstract: Systems and methods may identify at least a first set of right singular vectors and a first set of singular values of a subset of the matrix, reduce the subset by an amount of energy of a selected data entry of the subset based on the first set of right singular vectors and the first set of singular values, incorporate a new data entry from the matrix into the subset, update the first set of right singular vectors and the first set of singular values of the subset based on the new data entry by a singular value decomposition (SVD) update, and generate the low-rank approximation of the matrix based on the updated first set of right singular vectors and the updated first set of singular values.

Abstract: An enhanced find and replace feature for a spreadsheet program module is disclosed. The enhanced find and replace feature allows users to search for terms and attributes across multiple sheets of a workbook. The find and replace feature also allows searches to be performed based on the formatting attributes of a cell as well as the textual or numerical contents of a cell. The enhanced find and replace feature also allows users to perform bulk formatting of cells (even cells without text) in a spreadsheet. In another aspect, the enhanced find and replace feature lists all the results of the find operation in a results list so that the user may choose which result(s) to view and edit. In another aspect, the find and replace feature is modeless so that a user can search for terms or attributes, view a results list, exit the find and replace feature, perform editing functions in the document and then return to the find and replace feature.

Abstract: An enhanced find and replace feature for a spreadsheet program module is disclosed. The enhanced find and replace feature allows users to search for terms and attributes across multiple sheets of a workbook. The find and replace feature also allows searches to be performed based on the formatting attributes of a cell as well as the textual or numerical contents of a cell. The enhanced find and replace feature also allows users to perform bulk formatting of cells (even cells without text) in a spreadsheet. In another aspect, the enhanced find and replace feature lists all the results of the find operation in a results list so that the user may choose which result(s) to view and edit.

Abstract: The present disclosure is directed to a method for optically recognizing a table and converting that recognized table to a digitized format. In particular, the present disclosure relates to a method of optically recognizing and identifying a table generally, individual cells within the table, the data embedded within each cell, as well as the original table format, including shading, cell borders, colors, and effects. Accordingly, such digitization of an optically recognized table, in whole or in part, as printed on a document or other media allows users to easily and quickly capture information as originally arranged without having to manually re-create a table and enter data into the re-created table.

Abstract: Methods and apparatuses for compressive sensing that enable efficient recovery of features in an input signal based on acquiring a few measurements corresponding to the input signal. One method of compressive sensing includes folding an image to generate first and second folds, and recovering a feature of the image based on the first and second folds without reconstructing the image. One example of a compressive sensing apparatus includes a lens, a focal plane array coupled to the lens and configured to generate first and second folds based on the image, and a decoder configured to receive the first and second folds and to recover a feature of the image without reconstructing the image. The feature may be a local geometric feature or a corner. Compressive sensing methods and apparatuses for determining translation and rotation between two images are also disclosed.

Abstract: Methods and apparatuses for compressive sensing that enable efficient recovery of features in an input signal based on acquiring a few measurements corresponding to the input signal. One method of compressive sensing includes folding an image to generate first and second folds, and recovering a feature of the image based on the first and second folds without reconstructing the image. One example of a compressive sensing apparatus includes a lens, a focal plane array coupled to the lens and configured to generate first and second folds based on the image, and a decoder configured to receive the first and second folds and to recover a feature of the image without reconstructing the image. The feature may be a local geometric feature or a corner. Compressive sensing methods and apparatuses for determining translation and rotation between two images are also disclosed.

Abstract: Systems and methods for generating a low-rank approximation of a matrix are provided. The various systems and methods may identify at least a first set of right singular vectors and a first set of singular values of a subset of the matrix, reduce the subset by an amount of energy of a selected data entry of the subset based on the first set of right singular vectors and the first set of singular values, incorporate a new data entry from the matrix into the subset, update the first set of right singular vectors and the first set of singular values of the subset based on the new data entry by a singular value decomposition (SVD) update, and generate the low-rank approximation of the matrix based on the updated first set of right singular vectors and the updated first set of singular values.

Abstract: User-authored notes on shared documents may be provided. A shared document may be stored and at least one note may be associated with the document. When a user displays the document, the associated not may be retrieved and a user interface element may be provided to allow the user to view the note.

Abstract: A method and apparatus for estimating and compensating for a broad class of non-Gaussian sensor and process noise. In one example, a coded filter combines a dynamic state estimator (for example, a Kalman filter) and a non-linear estimator to provide approximations of the non-Gaussian process and sensor noise associated with a dynamic system. These approximations are used by the dynamic state estimator to correct sensor measurements or to alter the dynamic model governing evolution of the system state. Examples of coded filters leverage compressive sensing techniques in combination with error models based on concepts of compressibility and the application of efficient convex optimization processes.

Abstract: A pixel array including circuitry for combining charges accumulated by individual pixels in the array enables addition and/or subtraction of individual pixel values, prior to their digitization, in the pixel array.

Abstract: In general, in one embodiment, a starfield image as seen by an object is analyzed. Compressive samples are taken of the starfield image and, in the compressed domain, processed to remove noise. Stars in the starfield image are identified and used to determine an attitude of the object.

Abstract: In general, in one embodiment, a starfield image as seen by an object is analyzed. Compressive samples are taken of the starfield image and, in the compressed domain, processed to remove noise. Stars in the starfield image are identified and used to determine an attitude of the object.

Abstract: In general, in one embodiment, a starfield image as seen by an object is analyzed. Compressive samples are taken of the starfield image and, in the compressed domain, processed to remove noise. Stars in the starfield image are identified and used to determine an attitude of the object.

Abstract: A pixel array including circuitry for combining charges accumulated by individual pixels in the array enables addition and/or subtraction of individual pixel values, prior to their digitization, in the pixel array.

Abstract: An enhanced find and replace feature for a spreadsheet program module is disclosed. The enhanced find and replace feature allows users to search for terms and attributes across multiple sheets of a workbook. The find and replace feature also allows searches to be performed based on the formatting attributes of a cell as well as the textual or numerical contents of a cell. The enhanced find and replace feature also allows users to perform bulk formatting of cells (even cells without text) in a spreadsheet. In another aspect, the enhanced find and replace feature lists all the results of the find operation in a results list so that the user may choose which result(s) to view and edit.

Abstract: An enhanced find and replace feature for a spreadsheet program module is disclosed. The enhanced find and replace feature allows users to search for terms and attributes across multiple sheets of a workbook. The find and replace feature also allows searches to be performed based on the formatting attributes of a cell as well as the textual or numerical contents of a cell. The enhanced find and replace feature also allows users to perform bulk formatting of cells (even cells without text) in a spreadsheet. In another aspect, the enhanced find and replace feature lists all the results of the find operation in a results list so that the user may choose which result(s) to view and edit. In another aspect, the find and replace feature is modeless so that a user can search for terms or attributes, view a results list, exit the find and replace feature, perform editing functions in the document and then return to the find and replace feature.

Abstract: A method and apparatus for estimating and compensating for a broad class of non-Gaussian sensor and process noise. In one example, a coded filter combines a dynamic state estimator (for example, a Kalman filter) and a non-linear estimator to provide approximations of the non-Gaussian process and sensor noise associated with a dynamic system. These approximations are used by the dynamic state estimator to correct sensor measurements or to alter the dynamic model governing evolution of the system state. Examples of coded filters leverage compressive sensing techniques in combination with error models based on concepts of compressibility and the application of efficient convex optimization processes.

Abstract: A terminal and a method for exchanging electronic business cards that can guarantee privacy and guarantee complete and consistent communications to the user are provided. The terminal for exchanging electronic business cards with a device connected via a communications network stores the first public key and the first secret key, the first electronic certificate that includes the first public key and components of an electronic business card. The terminal prepares a first electronic business card from the components of an electronic business card that have been read from the memory, transmits the first electronic business card, together with the first electronic certificate that has been read from the memory, receives data encrypted by using the first public key, and decodes the encrypted data that has been received by using the first secret key that has been read from the memory.