Abstract: A system processes data signals consisting of sums of independent signal terms, zero or more of which signal terms may already have been identified, in order to generate one or more additional terms. Deflated versions of the data signals are created by subtracting from the data signals any previously identified signal terms. Additional independent signal terms are computed using a set of reference signals organized into mutually independent partioning support sets. The images of each support set are computed on the data signals. Computed images on a data signal that are non-zero are identified as additional independent signal terms of that data signal.

Abstract: In environments (such as acoustic and bioelectrical environments) characterized by multiple simultaneous sources, effective blind source separation from sensor response mixtures becomes difficult as the number of sources increases-especially when the true number of sources is both unknown and changing over time. However, in some environments, non-sensor information can provide useful hypotheses for some sources. Embodiments of the present invention provide an adaptive filtering architecture for validating such source hypotheses, extracting an estimated representation of source signals corresponding to valid hypotheses, and improving the separation of the remaining “hidden” source signals from the sensor response mixtures.

Abstract: A system processes data signals consisting of sums of independent signal terms, zero or more of which signal terms may already have been identified, in order to generate one or more additional terms. Deflated versions of the data signals are created by subtracting from the data signals any previously identified signal terms. Additional independent signal terms are computed using a set of reference signals organized into mutually independent partioning support sets. The images of each support set are computed on the data signals. Computed images on a data signal that are non-zero are identified as additional independent signal terms of that data signal.

Abstract: In environments (such as acoustic and bioelectrical environments) characterized by multiple simultaneous sources, effective blind source separation from sensor response mixtures becomes difficult as the number of sources increases-especially when the true number of sources is both unknown and changing over time. However, in some environments, non-sensor information can provide useful hypotheses for some sources. Embodiments of the present invention provide an adaptive filtering architecture for validating such source hypotheses, extracting an estimated representation of source signals corresponding to valid hypotheses, and improving the separation of the remaining “hidden” source signals from the sensor response mixtures.

Abstract: A system processes data signals consisting of sums of independent signal terms, zero or more of which signal terms may already have been identified, in order to generate one or more additional terms. Deflated versions of the data signals are created by subtracting from the data signals any previously identified signal terms. Additional independent signal terms are computed using a set of reference signals organized into mutually independent partioning support sets. The images of each support set are computed on the data signals. Computed images on a data signal that are non-zero are identified as additional independent signal terms of that data signal.

Abstract: In environments (such as acoustic and bioelectrical environments) characterized by multiple simultaneous sources, effective blind source separation from sensor response mixtures becomes difficult as the number of sources increases—especially when the true number of sources is both unknown and changing over time. However, in some environments, non-sensor information can provide useful hypotheses for some sources. Embodiments of the present invention provide an adaptive filtering architecture for validating such source hypotheses, extracting an estimated representation of source signals corresponding to valid hypotheses, and improving the separation of the remaining “hidden” source signals from the sensor response mixtures.

Abstract: A system processes data signals consisting of sums of independent signal terms, zero or more of which signal terms may already have been identified, in order to generate one or more additional terms. Deflated versions of the data signals are created by subtracting from the data signals any previously identified signal terms. Additional independent signal terms are computed using a set of reference signals organized into mutually independent partioning support sets. The images of each support set are computed on the data signals. Computed images on a data signal that are non-zero are identified as additional independent signal terms of that data signal.

Abstract: A system processes data signals consisting of sums of independent signal terms in order to generate one or more of those terms. The generated terms are computed using a set of reference signals to construct alternative support sets, whose images are computed on the data signals. Computed images that are independent of the residue of the data signal minus the image are identified as independent signal terms, as are the residues. These initial signal terms are used to compute additional terms. Identified terms from different data signals are organized into independent slices, and slices whose terms are supported by sets of reference signals are associated with those supporting sets.

Abstract: The available audio tracks of a multi-track television program are processed to remove or reduce certain components of the program, especially audience sounds, such as laughter. Such processing may be particularly applicable to “canned” laughter. This applies to any program which is supplied with a plurality of audio channels, whether provided by cable, DVD, Internet streaming, or otherwise.

Abstract: A system processes data signals consisting of sums of independent signal terms in order to generate one or more of those terms. The generated terms are computed using a set of reference signals to construct alternative support sets, whose images are computed on the reference signals. Computed images that are independent of the residue of the data signal minus the image are identified as independent signal terms, as are the residues. These initial signal terms are used to compute additional terms. Identified terms from different data signals are organized into independent slices, and slices whose terms are supported by sets of reference signals are associated with those supporting sets.

Abstract: In environments (such as acoustic and bioelectrical environments) characterized by multiple simultaneous sources, effective blind source separation from sensor response mixtures becomes difficult as the number of sources increases—especially when the true number of sources is both unknown and changing over time. However, in some environments, non-sensor information can provide useful hypotheses for some sources. Embodiments of the present invention provide an adaptive filtering architecture for validating such source hypotheses, extracting an estimated representation of source signals corresponding to valid hypotheses, and improving the separation of the remaining “hidden” source signals from the sensor response mixtures.

Abstract: A voucher cash-out system (20) includes a service terminal (22) for producing a voucher (58) in response to a received service request (50). A processor (24) in communication with the service terminal (22), manages a cash disbursement relative to a cash worth (62) of the voucher (58). An automated cash disbursement machine (28), in communication with the processor (24), is configured to perform the cash disbursement in response to validation of the voucher (58) by the processor (24).

Abstract: Described is an apparatus and method, particularly applicable to a brush bed conveyor system, by which objects, typically citrus fruit, are washed or sprayed. A moveable high pressure spray manifold is contained within a manifold carriage and is disposed within the conveyor chassis such that it is moved along above a brush bed by a conveyor chain. Separation bars extend from the conveyor chain to segregate the objects into queues retained within the spray pattern of the manifold. When the manifold reaches a predetermined end position, a release latch is decoupled from the separation bars to disconnect the separation bars and conveyor chain from the manifold carriage. The predetermined end position is sensed and the manifold carriage is quickly returned to its initial position by means of a selectively activated pneumatic piston assembly.

Abstract: Described is a method, particularly applicable to a brush bed conveyor system, by which objects, typically citrus fruit, are washed or sprayed. A moveable high pressure spray manifold is contained within a manifold carriage and is disposed within the conveyor chassis such that it is moved along above a brush bed by a conveyor chain. Separation bars extend from the conveyor chain to segregate the objects into queues retained within the spray pattern of the manifold. When the manifold reaches a predetermined end position, a release latch is decoupled from the separation bars to disconnect the separation bars and conveyor chain from the manifold carriage. The predetermined end position is sensed and the manifold carriage is quickly returned to its initial position by means of a selectively activated pneumatic piston assembly.