Abstract: A method includes mapping, by a processor, a test speech sample, which was produced by a subject while a physiological state of the subject was unknown, to a reference speech sample, which was produced in a known physiological state. The method further includes, based on the mapping, computing a distance between the test speech sample and the reference speech sample, and in response to the distance, communicating an output indicating the physiological state of the subject while the test speech sample was produced. Other embodiments are also described.

Abstract: A method includes mapping, by a processor, a test speech sample, which was produced by a subject while a physiological state of the subject was unknown, to a speech model representing speech produced in a known physiological state, which speech model includes multiple acoustic states and defines allowed transitions between the acoustic states. The method further includes, based on the mapping, computing a distance between the test speech sample and the speech model, and in response to the distance, communicating an output indicating the physiological state of the subject while the test speech sample was produced. Other embodiments are also described.

Abstract: A method includes obtaining, by a processor, a score quantifying an estimated degree to which an instance of an articulatory event-type indicates a state, with respect to a disease, in which the instance was produced. The method further includes, using the score, facilitating, by the processor, a computer-implemented procedure for evaluating the state of a subject based on a test utterance produced by the subject. Other embodiments are also described.

Abstract: An encoder determines a compression ratio for compressive sensing and a quantization level used to quantize a media signal based on a target indicator. The encoder accesses compressive sensing measurements performed using the compression ratio and quantizes the compressive sensing measurements based on the quantization level. A decoder receives a compressed signal generated from the signal acquired by the signal acquisition device using the compression ratio and the quantization level. The decoder also receives information indicating the compression ratio or the quantization level. The decoder decompresses the compressed signal based on the compression ratio and the quantization level.

Abstract: An image acquisition device compresses a media signal representative of a scene based on a sensing matrix that is a determined by a sensing matrix template and a set of template parameters. The image acquisition device provides the compressed media signal to a receiver and selectively provides a specification of a subset of the set of template parameters to the receiver. The receiver extracts one or more scene descriptors representative of one or more portions of the scene from the compressed media signal using the sensing matrix template without knowledge of the template parameters that are not included in the subset. The template parameters that are not included in the subset are not received by the receiver.

Abstract: An image acquisition device compresses a media signal representative of a scene based on a sensing matrix that is a determined by a sensing matrix template and a set of template parameters. The image acquisition device provides the compressed media signal to a receiver and selectively provides a specification of a subset of the set of template parameters to the receiver. The receiver extracts one or more scene descriptors representative of one or more portions of the scene from the compressed media signal using the sensing matrix template without knowledge of the template parameters that are not included in the subset. The template parameters that are not included in the subset are not received by the receiver.

Abstract: An encoder determines a compression ratio for compressive sensing and a quantization level used to quantize a media signal based on a target indicator. The encoder accesses compressive sensing measurements performed using the compression ratio and quantizes the compressive sensing measurements based on the quantization level. A decoder receives a compressed signal generated from the signal acquired by the signal acquisition device using the compression ratio and the quantization level. The decoder also receives information indicating the compression ratio or the quantization level. The decoder decompresses the compressed signal based on the compression ratio and the quantization level.

Abstract: An encoder determines a compression ratio for compressive sensing and a quantization level used to quantize a media signal based on a target indicator. The encoder accesses compressive sensing measurements performed using the compression ratio and quantizes the compressive sensing measurements based on the quantization level. A decoder receives a compressed signal generated from the signal acquired by the signal acquisition device using the compression ratio and the quantization level. The decoder also receives information indicating the compression ratio or the quantization level. The decoder decompresses the compressed signal based on the compression ratio and the quantization level.

Abstract: An image acquisition device compresses a media signal representative of a scene based on a sensing matrix that is a determined by a sensing matrix template and a set of template parameters. The image acquisition device provides the compressed media signal to a receiver and selectively provides a specification of a subset of the set of template parameters to the receiver. The receiver extracts one or more scene descriptors representative of one or more portions of the scene from the compressed media signal using the sensing matrix template without knowledge of the template parameters that are not included in the subset. The template parameters that are not included in the subset are not received by the receiver.

Abstract: In one example embodiment, a transmitting device includes a memory configured to store computer-readable instructions and a processor configured to execute the computer-readable instructions. The processor is configured to prepare at least one packet, the at least one packet including a portion of a compressed representation of at least one data block, a packet offset value and a block identifier, the block identifier identifying the at least one data block, the packet offset value identifying the portion of the compressed representation of the at least one data block within the compressed representation of the at least one data block and broadcast the at least one packet.

Abstract: An encoder determines a compression ratio for compressive sensing and a quantization level used to quantize a media signal based on a target indicator. The encoder accesses compressive sensing measurements performed using the compression ratio and quantizes the compressive sensing measurements based on the quantization level. A decoder receives a compressed signal generated from the signal acquired by the signal acquisition device using the compression ratio and the quantization level. The decoder also receives information indicating the compression ratio or the quantization level. The decoder decompresses the compressed signal based on the compression ratio and the quantization level.

Abstract: An image acquisition device compresses a media signal representative of a scene based on a sensing matrix that is a determined by a sensing matrix template and a set of template parameters. The image acquisition device provides the compressed media signal to a receiver and selectively provides a specification of a subset of the set of template parameters to the receiver. The receiver extracts one or more scene descriptors representative of one or more portions of the scene from the compressed media signal using the sensing matrix template without knowledge of the template parameters that are not included in the subset. The template parameters that are not included in the subset are not received by the receiver.

Abstract: A method and a system for using compression sensing to provide low data rate transmission and low computational complexity to determine anomalies in video data obtained by a video camera or other motion detection device. The video data is divided into varying sized video blocks based on an anticipated size of objects of interest within the video, and based on a distance between a video camera and the objects of interest. Features are extracted from the video data of each block to detect anomalies if a feature vector is outside of an “allowed range.” By utilizing varying sized video blocks, anomalies are more effectively and efficiently detected in the video data.

Abstract: A video server or other processing device obtains availability information for a wireless network and modifies a manner in which video segments of a video service are delivered to a user device over the wireless network based on the obtained availability information. The availability information may comprise at least one of network congestion measurement information and transmission pricing information. In an illustrative embodiment, the processing device comprises a video server configured to utilize the availability information to generate a list of video segments available for transmission for at least a portion of the video service, to provide the list of video segments to the user device responsive to a request received from the user device, to receive an additional request from the user device for at least one particular video segment identified in the list, and to provide the requested at least one video segment to the user device.

Abstract: A measurement vector of compressive measurements is received. The measurement vector may be derived by applying a sensing matrix to a source signal. At least one first feature vector is generated from the measurement vector. The first feature vector is an estimate of a second feature vector. The second feature vector is a feature vector that corresponds to a translation of the source signal. An anomaly is detected to in the source signal based on the first feature vector.

Abstract: A measurement vector of compressive measurements is received. The measurement vector may be derived by applying a sensing matrix to a source signal. The sensing matrix may be derived from a frequency domain transform. At least one first feature vector is generated from the measurement vector. The first feature vector is an estimate of a second feature vector. The second feature vector is a feature vector that corresponds to a translation of the source signal. An anomaly is detected to in the source signal based on the first feature vector.

Abstract: In one example embodiment, a transmitting device includes a memory configured to store computer-readable instructions and a processor configured to execute the computer-readable instructions. The processor is configured to prepare at least one packet, the at least one packet including a portion of a compressed representation of at least one data block, a packet offset value and a block identifier, the block identifier identifying the at least one data block, the packet offset value identifying the portion of the compressed representation of the at least one data block within the compressed representation of the at least one data block and broadcast the at least one packet.

Abstract: A controller in a video headend or other transmission element of a signal distribution system is operative to detect a condition in which unicast transmissions of a given content stream to a plurality of terminals meet a specified threshold. The controller starts a multicast transmission of the given content stream in response to the detected condition, and transitions at least one of the terminals to the multicast transmission. In one embodiment, the controller identifies at least one of the terminals as a terminal that will receive the multicast transmission of the given content stream in place of its unicast transmission prior to one or more of the other terminals receiving the multicast transmission.

Abstract: A method and a system for using compression sensing to provide low data rate transmission and low computational complexity to determine anomalies in video data obtained by a video camera or other motion detection device. The video data is divided into varying sized video blocks based on an anticipated size of objects of interest within the video, and based on a distance between a video camera and the objects of interest. Features are extracted from the video data of each block to detect anomalies if a feature vector is outside of an “allowed range.” By utilizing varying sized video blocks, anomalies are more effectively and efficiently detected in the video data.

Abstract: Various embodiments relate to a non-transitory machine-readable storage medium encoded with instructions for execution by a source device for compressive sensing a signal, wherein the source device acquires a set of compressive sensing measurements using a structured sensing matrix, the non-transitory machine-readable medium including: instructions for determining a signal specific coding scheme for the set of compressive sensing measurements; instructions for coding the compressed sensing measurements using the determined signal specific coding scheme; instructions for determining a parametric model describing the signal specific coding scheme for the encoded set of compressed sensing measurements; and instructions for transmitting a description of the parametric model to via a communications channel.