Abstract:
A transmitter (UE) for transmitting data to a receiver (BS) of a wireless communication network, the transmitter (UE) includes at least one antenna, a codebook, an encoder, and a transceiver coupled to the encoder and to the at least one antenna. The codebook includes a plurality of codewords, each codeword being a vector including a plurality of symbols, each symbol to be transmitted over resources of the wireless communication network. The encoder is configured to receive an information message to be transmitted to a receiver (BS) of the wireless communication network, to select from the codebook the codeword associated with the received information message, and to divide the selected codeword into a plurality of sub-codewords. The transceiver is configured to transmit via the at least one antenna a first sub-codeword, and to transmit via the at least one antenna a second sub-codeword responsive to an indication that the encoded information message was not successfully decoded at the receiver (BS) on the basis of the received first sub-codeword.
Abstract:
Systems and methods are provided for constructing a multi-resolution image from a set of compressive measurements representing a compressed version of a single native resolution image. In one aspect, compressive sense measurements are retrieved that were generated using a compressive sensing matrix and represent a compressed version of a single native resolution image of a scene. Dimensions of a desired two-dimensional, multi-resolution image are determined, and a plurality of regions is allocated, each allocated region having a respective resolution. An expansion matrix is defined to map the resolution of each allocated region to the native resolution, and a multi-resolution image of the scene is constructed using the compressive sense measurements, the compressive sensing matrix, and the defined expansion matrices. In various aspects, a full resolution or other multi-resolution images may be constructed from the same compressive measurements without regenerating new compressive measurements.
Abstract:
Eine Sensoranordnung (1) zum Erfassen ortsaufgelöster photometrischer Daten weist eine Sensoreinheit (10), eine der Sensoreinheit (10) vorgeordnete, steuerbare Shutter- Anordnung (20), durch welche richtungsabhängig ein Lichteinfall auf die Sensoreinheit (10) gesteuert werden kann, sowie eine Bewertungseinheit (30) zum Bewerten der von der Sensoreinheit (10) ausgegebenen Informationen und Berechnen einer ortsaufgelösten Helligkeitsinformation auf, wobei die Sensoreinheit (10) zumindest zwei Sensorsegmente (11) aufweist, denen jeweils unterschiedliche Kombinationen aus Farb- und Polarisationsfiltern (12, 13) oder Spektrometern zugeordnet sind, und wobei die Bewertungseinheit (30) dazu ausgebildet ist, auf Basis der von den verschiedenen Sensorsegmenten (11) ausgegebenen Signale die Helligkeitsinformationen durch zusätzliche photometrische Daten zu ergänzen.
Abstract:
A system to transform an input signal presented from a sensor into a spatial sequence characteristic of the signal. An input module of the system is configured to divide the input signal into a sequence of signal values and present them in order of production to the following stage. A comparator module coupled to the input module configured to accept each element value of the sequence of signal values. The comparator module has a multiplicity of individual comparators that generate binary values assembled into a word of bits. The word value correlates the input sequence element value with a vector of reference values to effect a level crossing sampler. The assembled word value is utilized to encode a memory address. The system effects the conversion of a signal into an ordered collection of spatial values, which are the addresses of memory locations.
Abstract:
A system comprising: at least one sensor and at least one control apparatus wherein; the sensor comprises: at least one processor; and at least one memory including computer program code;the at least one memory and the computer program code configured to, with the at least one processor, cause the apparatus at least to perform;compressing a sensor data signal using a sampling basis to obtain a compressed data signal; and in response to a first feedback signal changing a sampling basis used to obtain the compressed data signal; and wherein the control apparatus comprises: at least one processor; and at least one memory including computer program code; the at least one memory and the computer program code configured to, with the at least one processor, cause the apparatus at least to perform; receiving the data signal from the at least one sensor;determining a quality of the received data signal; and if the quality of the received data signal is within a first threshold providing a feedback signal to control the sampling basis of the sensor.
Abstract:
Systems and methods in accordance with embodiments of the invention utilize a CS architecture based on a sub-linear time recovery process (with reduced memory requirements). In several embodiments, a novel structured measurement matrix is exploited during signal acquisition allowing the use of a recovery process based on relatively simple computational primitives making it more amenable to implementation in a fully-integrated form. One embodiment of the invention includes an analog front end configured to receive an analog input signal, and CS sampling circuitry connected to an output of the analog front end and configured to generate a plurality of measurements using a structured measurement matrix, where each row of the structured measurement matrix is generated using a different predetermined check node. In addition, the CS sampling circuitry is configured to generate the plurality of measurements at a rate that is less than the Nyquist rate of the analog input signal.
Abstract:
Certain aspects of the present disclosure relate to a method for quantizing signals and reconstructing signals, and/or encoding or decoding data for storage or transmission. Points of a signal may be determined as local extrema or points where an absolute rise of the signal is greater than a threshold. The tread and value of the points may be quantized, and certain of the quantizations may be discarded before the quantizations are transmitted. After being received, the signal may be reconstructed from the quantizations using an iterative process.