Abstract: A method includes decomposing a training set to obtain a principal component matrix having a plurality of principal component vectors. The method also includes variably rejecting portions of a sample spectrum vector that do not correspond to a selected one of the plurality of principal component vectors by incrementally providing a coefficient indicative of the weighting of the selected principal component vector for selected sub-regions. A corrected spectrum vector can be obtained by excluding certain sub-regions of the sample spectrum vector and corresponding principal component vector, multiplying the sample spectrum vector with the principal component matrix for non-excluded sub-regions, providing a predicted interference vector, and subtracting the predicted interference vector from the sample spectrum vector.

Abstract: A method includes decomposing a training set to obtain a principal component matrix having a plurality of principal component vectors. The method also includes variably rejecting portions of a sample spectrum vector that do not correspond to a selected one of the plurality of principal component vectors by incrementally providing a coefficient indicative of the weighting of the selected principal component vector for selected sub-regions. A corrected spectrum vector can be obtained by excluding certain sub-regions of the sample spectrum vector and corresponding principal component vector, multiplying the sample spectrum vector with the principal component matrix for non-excluded sub-regions, providing a predicted interference vector, and subtracting the predicted interference vector from the sample spectrum vector.

Abstract: A method includes decomposing a training set to obtain a principal component matrix having a plurality of principal component vectors. The method also includes variably rejecting portions of a sample spectrum vector that do not correspond to a selected one of the plurality of principal component vectors by incrementally providing a coefficient indicative of the weighting of the selected principal component vector for selected sub-regions. A corrected spectrum vector can be obtained by excluding certain sub-regions of the sample spectrum vector and corresponding principal component vector, multiplying the sample spectrum vector with the principal component matrix for non-excluded sub-regions, providing a predicted interference vector, and subtracting the predicted interference vector from the sample spectrum vector.

Abstract: A system includes a gas chromatograph configured to determine experimental chromatographic data including retention times associated with samples. The system also includes a mass spectrometer configured to determine experimental mass spectral data associated with samples. The mass spectrometer can include a quadrupole field ion trap that uses a non-classical detection technique. The system determines a retention index for an unknown sample based upon retention times for a calibration sample and the unknown sample, and identifies reference mass spectral data using the retention index. The reference mass spectral data can include spectra measured using a classical detection technique. The system can compare the experimental mass spectral data to the reference mass spectral data using one or more comparison metrics, such as a percent fragment match and/or a variance match. A score can be determined to identify the unknown sample using one or more of the metrics.

Abstract: A system includes a gas chromatograph configured to determine experimental chromatographic data including retention times associated with samples. The system also includes a mass spectrometer configured to determine experimental mass spectral data associated with samples. The mass spectrometer can include a quadrupole field ion trap that uses a non-classical detection technique. The system determines a retention index for an unknown sample based upon retention times for a calibration sample and the unknown sample, and identifies reference mass spectral data using the retention index. The reference mass spectral data can include spectra measured using a classical detection technique. The system can compare the experimental mass spectral data to the reference mass spectral data using one or more comparison metrics, such as a percent fragment match and/or a variance match. A score can be determined to identify the unknown sample using one or more of the metrics.

Abstract: Techniques are described for resolving and identifying peaks of signal intensity in mass chromatograms so that the peaks may be associated with components (e.g., chemical and/or ionic species) representative of an analysis sample to identify the components. The techniques facilitate correction of shift errors in the peaks of signal intensity of the mass chromatograms.

Abstract: A system includes a gas chromatograph configured to determine experimental chromatographic data including retention times associated with samples. The system also includes a mass spectrometer configured to determine experimental mass spectral data associated with samples. The mass spectrometer can include a quadrupole field ion trap that uses a non-classical detection technique. The system determines a retention index for an unknown sample based upon retention times for a calibration sample and the unknown sample, and identifies reference mass spectral data using the retention index. The reference mass spectral data can include spectra measured using a classical detection technique. The system can compare the experimental mass spectral data to the reference mass spectral data using one or more comparison metrics, such as a percent fragment match and/or a variance match. A score can be determined to identify the unknown sample using one or more of the metrics.

Abstract: A method includes decomposing a training set to obtain a principal component matrix having a plurality of principal component vectors. The method also includes variably rejecting portions of a sample spectrum vector that do not correspond to a selected one of the plurality of principal component vectors by incrementally providing a coefficient indicative of the weighting of the selected principal component vector for selected sub-regions. A corrected spectrum vector can be obtained by excluding certain sub-regions of the sample spectrum vector and corresponding principal component vector, multiplying the sample spectrum vector with the principal component matrix for non-excluded sub-regions, providing a predicted interference vector, and subtracting the predicted interference vector from the sample spectrum vector.

Abstract: Techniques are described for resolving and identifying peaks of signal intensity in mass chromatograms so that the peaks may be associated with components (e.g., chemical and/or ionic species) representative of an analysis sample to identify the components. The techniques facilitate correction of shift errors in the peaks of signal intensity of the mass chromatograms.

Abstract: Provided herein is technology relating to identifying unknown compounds and particularly, but not exclusively, to methods and systems for identifying unknown compounds by gas chromatography-mass spectrometry by use of retention index as a second dimension for identification.

Abstract: A system includes a gas chromatograph configured to determine experimental chromatographic data including retention times associated with samples. The system also includes a mass spectrometer configured to determine experimental mass spectral data associated with samples. The mass spectrometer can include a quadrupole field ion trap that uses a non-classical detection technique. The system. determines a retention index for an unknown sample based upon retention times for a calibration sample and the unknown sample, and identifies reference mass spectral data using the retention index. The reference mass spectral data can include spectra measured using a classical detection technique. The system can compare the experimental mass spectral data to the reference mass spectral data using one or more comparison metrics, such as a percent fragment match and/or a variance match. A score can be determined to identify the unknown sample using one or more of the metrics.

Abstract: A mobile controller unit has a radio positioning system and a two-way communication system and a rover unit also has a radio positioning system and a two-way radio communication system. The controller unit can query the rover unit to send its location data so that the rover unit can be located and if desired, found, such as in the case of a lost child or items. Relative position between the controller and the rover can be displayed on the controller along with an arrow showing where the rover is, as well as how fast it is moving, a track of its movement and other data. The system can also operate in conjunction with a network system that has a PDE and an application server that perform some of the communications and calculation functions.

Abstract: A mobile controller unit has a radio positioning system and a two-way communication system and a rover unit also has a radio positioning system and a two-way radio communication system. The controller unit can query the rover unit to send its location data so that the rover unit can be located and if desired, found, such as in the case of a lost child or items. Relative spatial position can be displayed along with an arrow showing where the rover is, also how fast it is moving and other data.

Abstract: A mobile rover has a navigation receiver receiving radio positioning data from radio positioning entities. The mobile rover can report its position to a mobile controller unit or another entity so that the location of the mobile unit can be tracked based on the radio positioning data received by the mobile rover. The radio positioning data can be processed by processing systems within the mobile rover, mobile controller, or other entities such as a position determination entity or a position determination entity proxy. The processing systems can also perform calculations to augment the radio positioning data to provide more accurate estimates of the position of the mobile controller and/or the mobile rover. The mobile controller and/or the mobile rover may be cellular telephones within a cellular network. . . .

Abstract: A mobile rover has a navigation receiver receiving radio positioning data from radio positioning entities. The mobile rover can report its position to a mobile controller unit or another entity so that the location of the mobile unit can be tracked based on the radio positioning data received by the mobile rover. The radio positioning data can be processed by processing systems within the mobile rover, mobile controller, or other entities such as a position determination entity or a position determination entity proxy. The processing systems can also perform calculations to augment the radio positioning data to provide more accurate estimates of the position of the mobile controller and/or the mobile rover. The mobile controller and/or the mobile rover may be cellular telephones within a cellular network.

Abstract: A mobile rover has a navigation receiver receiving radio positioning data from radio positioning entities. The mobile rover can report its position to a mobile controller unit or another entity so that the location of the mobile unit can be tracked based on the radio positioning data received by the mobile rover. The radio positioning data can be processed by processing systems within the mobile rover, mobile controller, or other entities such as a position determination entity or a position determination entity proxy. The processing systems can also perform calculations to augment the radio positioning data to provide more accurate estimates of the position of the mobile controller and/or the mobile rover. The mobile controller and/or the mobile rover may be cellular telephones within a cellular network.

Abstract: A mobile rover has a navigation receiver receiving radio positioning data from radio positioning entities. The mobile rover can report its position to a mobile controller unit or another entity so that the location of the mobile unit can be tracked based on the radio positioning data received by the mobile rover. The radio positioning data can be processed by processing systems within the mobile rover, mobile controller, or other entities such as a position determination entity or a position determination entity proxy. The processing systems can also perform calculations to augment the radio positioning data to provide more accurate estimates of the position of the mobile controller and/or the mobile rover. The mobile controller and/or the mobile rover may be cellular telephones within a cellular network.

Abstract: A mobile controller unit has a radio positioning system and a two-way communication system and a rover unit also has a radio positioning system and a two-way radio communication system. The controller unit can query the rover unit to send its location data so that the rover unit can be located and if desired, found, such as in the case of a lost child or items. Relative spatial position can be displayed along with an arrow showing where the rover is, also how fast it is moving and other data.

Abstract: A mobile controller unit has a radio positioning system and a two-way communication system and a rover unit also has a radio positioning system and a two-way radio communication system. The controller unit can query the rover unit to send its location data so that the rover unit can be located and if desired, found, such as in the case of a lost child or items. Relative spatial position can be displayed along with an arrow showing where the rover is, also how fast it is moving and other data.

Abstract: A mobile controller unit has a radio positioning system and a two-way communication system and a rover unit also has a radio positioning system and a two-way radio communication system. The controller unit can query the rover unit to send its location data so that the rover unit can be located and if desired, found, such as in the case of a lost child or items. Relative position between the controller and the rover can be displayed on the controller along with an arrow showing where the rover is, as well as how fast it is moving, a track of its movement and other data.