Abstract: A time-of-flight (TOF) sensing system may include an illumination module and a sensor module. The sensor module may include an array of sensor pixels, each sensor pixel configured to perform multiple measurements to generate corresponding pixel data for a TOF sensing operation. Signal processing circuitry may generate phase data based on the pixel data. Phase denoise circuitry in the signal processing circuitry may perform different types of filtering operations on the phase data such as perform two bilateral filters of varying strengths. The lower-fidelity denoised phase data may be used for depth disambiguation, while the higher-fidelity denoised phase data may be used for depth calculation. If desired, the phase denoise circuitry may perform averaging operations for one or both of these filtering operations using a Cartesian coordinate representation and efficiently using piecewise linear trigonometric approximations.

Abstract: A system such as an imaging system may include an illumination module. The illumination module may include a light source monitoring system. The light source monitoring system may sample a light source signal and aggregate the samples into data chunks. The light source monitoring system may selectively aggregate the data chunks to form groups of a monitoring time window. The light source monitoring system may detect a fault based on a value characterizing light source performance during the monitoring time window.

Abstract: A system such as an imaging system may include an illumination module. The illumination module may include a light source monitoring system. The light source monitoring system may sample a light source signal and aggregate the samples into data chunks. The light source monitoring system may selectively aggregate the data chunks to form groups of a monitoring time window. The light source monitoring system may detect a fault based on a value characterizing light source performance during the monitoring time window.

Abstract: An image sensor may perform hybrid pixel binning. In pixel binning, pixel values from multiple pixels are combined into a single representative binning value. In a hybrid pixel binning scheme, different pixel groups may be binned in different ways in a single image sensor. When the range of values in a pixel group is low (indicating a flat surface), a mean or median binning scheme may be used. When the range of values in a pixel group is high (indicating an edge), a spatial weighting binning scheme may be used. When a pixel group has an intermediate range, a blend of the median/mean and spatial weighting may be used to avoid undesired blinking in the binning output. The hybrid binning scheme may reduce noise while still preserving high-frequency detail.

Abstract: A radar detection method with receive antenna calibration includes: forming a detection matrix from signals detected by an arrangement of receive antennas in response to chirps transmitted by an arrangement of transmit antennas, the detection matrix having multiple rows corresponding to the chirps, multiple columns corresponding to a sample of the signals, and multiple planes corresponding the receive antennas; deriving a range matrix by performing a frequency transform on a portion of each row of the detection matrix; deriving a velocity matrix by performing a frequency transform on a portion of each column of the range matrix; deriving a direction-of-arrival matrix by performing a frequency transform on a portion of one or more layers of the velocity matrix; analyzing the direction-of-arrival matrix to determine a current peak width; and adjusting, based on the current peak width, phase shifts associated with one or more antennas.

Abstract: An image sensor may perform hybrid pixel binning. In pixel binning, pixel values from multiple pixels are combined into a single representative binning value. In a hybrid pixel binning scheme, different pixel groups may be binned in different ways in a single image sensor. When the range of values in a pixel group is low (indicating a flat surface), a mean or median binning scheme may be used. When the range of values in a pixel group is high (indicating an edge), a spatial weighting binning scheme may be used. When a pixel group has an intermediate range, a blend of the median/mean and spatial weighting may be used to avoid undesired blinking in the binning output. The hybrid binning scheme may reduce noise while still preserving high-frequency detail.

Abstract: Various embodiments of the present technology may comprise methods and apparatus for successive intra block prediction. Methods and apparatus for successive intra block prediction may comprise a matching decoder to generate data that replicates the internal state and/or the decompressed data at the decoder. The apparatus may further comprise a prediction module that utilizes the replicated data to make predictions. The apparatus may then utilize the predicted data and the original, input source data to determine a difference value and encode the difference value.

Abstract: A time-of-flight (TOF) sensing system may include an illumination module and a sensor module. The sensor module may include an array of sensor pixels, each sensor pixel configured to perform multiple measurements to generate corresponding pixel data for a TOF sensing operation. Signal processing circuitry may generate phase data based on the pixel data. Phase denoise circuitry in the signal processing circuitry may perform different types of filtering operations on the phase data such as perform two bilateral filters of varying strengths. The lower-fidelity denoised phase data may be used for depth disambiguation, while the higher-fidelity denoised phase data may be used for depth calculation. If desired, the phase denoise circuitry may perform averaging operations for one or both of these filtering operations using a Cartesian coordinate representation and efficiently using piecewise linear trigonometric approximations.

Abstract: A radar antenna calibration method includes: forming a detection matrix from signals detected by an arrangement of receive antennas in response to chirps transmitted by an arrangement of transmit antennas, the detection matrix having multiple rows corresponding to the chirps, multiple columns corresponding to a signal sample, and multiple planes corresponding the receive antennas; deriving a range matrix by performing a frequency transform on a portion of each row of the detection matrix; extracting a slice of the range matrix, with different rows of the slice being associated with different chirps and with different receive antennas; deriving a velocity matrix from the extracted slice by performing a frequency transform on a portion of each column of the extracted slice; analyzing the velocity matrix to determine a current peak width; and adjusting, based on the current peak width, phase shifts associated with one or more of the receive antennas.

Abstract: A radar antenna calibration method includes: forming a detection matrix from signals detected by an arrangement of receive antennas in response to chirps transmitted by an arrangement of transmit antennas, the detection matrix having multiple rows corresponding to the chirps, multiple columns corresponding to a signal sample, and multiple planes corresponding the receive antennas; deriving a range matrix by performing a frequency transform on a portion of each row of the detection matrix; extracting a slice of the range matrix, with different rows of the slice being associated with different chirps and with different receive antennas; deriving a velocity matrix from the extracted slice by performing a frequency transform on a portion of each column of the extracted slice; analyzing the velocity matrix to determine a current peak width; and adjusting, based on the current peak width, phase shifts associated with one or more of the receive antennas.

Abstract: A radar antenna calibration method includes: forming a detection matrix from signals detected by an arrangement of receive antennas in response to chirps transmitted by an arrangement of transmit antennas, the detection matrix having multiple rows corresponding to the chirps, multiple columns corresponding to a signal sample, and multiple planes corresponding the receive antennas; deriving a range matrix by performing a frequency transform on a portion of each row of the detection matrix; extracting a slice of the range matrix, with different rows of the slice being associated with different chirps and with different receive antennas; deriving a velocity matrix from the extracted slice by performing a frequency transform on a portion of each column of the extracted slice; analyzing the velocity matrix to determine a current peak width; and adjusting, based on the current peak width, phase shifts associated with one or more of the receive antennas.

Abstract: A radar antenna calibration method includes: forming a detection matrix from signals detected by an arrangement of receive antennas in response to chirps transmitted by an arrangement of transmit antennas, the detection matrix having multiple rows corresponding to the chirps, multiple columns corresponding to a signal sample, and multiple planes corresponding the receive antennas; deriving a range matrix by performing a frequency transform on a portion of each row of the detection matrix; extracting a slice of the range matrix, with different rows of the slice being associated with different chirps and with different receive antennas; deriving a velocity matrix from the extracted slice by performing a frequency transform on a portion of each column of the extracted slice; analyzing the velocity matrix to determine a current peak width; and adjusting, based on the current peak width, phase shifts associated with one or more of the receive antennas.

Abstract: A radar detection method with receive antenna calibration includes: forming a detection matrix from signals detected by an arrangement of receive antennas in response to chirps transmitted by an arrangement of transmit antennas, the detection matrix having multiple rows corresponding to the chirps, multiple columns corresponding to a sample of the signals, and multiple planes corresponding the receive antennas; deriving a range matrix by performing a frequency transform on a portion of each row of the detection matrix; deriving a velocity matrix by performing a frequency transform on a portion of each column of the range matrix; deriving a direction-of-arrival matrix by performing a frequency transform on a portion of one or more layers of the velocity matrix; analyzing the direction-of-arrival matrix to determine a current peak width; and adjusting, based on the current peak width, phase shifts associated with one or more antennas.

Abstract: Radar front end devices are provided with data processing and communication architectures that support a daisy-chain configuration. In an illustrative radar system embodiment, each front end device in a set of multiple front end devices includes: processing logic and interface logic. The processing logic is configurable to derive range and velocity data from radar return data. The interface logic is configurable to combine the range and velocity data from the processing logic with range and velocity data from any upstream front end devices in said set and to send the combined range and velocity data to a downstream destination.

Abstract: An image sensor may include a non-rectilinear image pixel array, which may produce non-rectilinear image data. The image sensor may include a resampling circuit to convert the non-rectilinear image data into rectilinear image data that is optimized for displaying an image to a user. This image data may be corrected using defect correction circuitry, resilience filtering circuitry, and aberration correction circuitry in the image sensor, and demosaicking circuitry and color correction circuitry in an image signal processor that is coupled to the image sensor. Alternatively, the non-rectilinear image data may be sent to the image signal processor without converting it to rectilinear image data. For example, machine vision applications may use and interpret non-rectilinear image data directly.

Abstract: Various embodiments of the present technology may comprise methods and apparatus for successive intra block prediction. Methods and apparatus for successive intra block prediction may comprise a matching decoder to generate data that replicates the internal state and/or the decompressed data at the decoder. The apparatus may further comprise a prediction module that utilizes the replicated data to make predictions. The apparatus may then utilize the predicted data and the original, input source data to determine a difference value and encode the difference value.

Abstract: Various embodiments of the present technology may comprise methods and apparatus for successive intra block prediction. Methods and apparatus for successive intra block prediction may comprise a matching decoder to generate data that replicates the internal state and/or the decompressed data at the decoder. The apparatus may further comprise a prediction module that utilizes the replicated data to make predictions. The apparatus may then utilize the predicted data and the original, input source data to determine a difference value and encode the difference value.

Abstract: Various embodiments of the present technology may comprise methods and apparatus for transform coefficient encoding and decoding. Methods and apparatus for transform coefficient encoding and decoding may comprise an entropy encoder configured to encode each transform coefficient as a symbol, wherein the symbol comprises a context, a magnitude, and a mantissa. The context may be one of four contexts and the symbol may be encoded using a subset of Huffman codes, wherein the subset is determined based on the context.

Abstract: Various embodiments of the present technology may comprise methods and apparatus for data compression and transmission. Embodiments the present technology transmit relevant data sub-cubes and compress and transmit non-relevant data sub-cubes. Relevant data sub-cubes may be those sub-cubes that contain detected target data and sub-cubes that are directly adjacent to the detected target data. Data contained in the directly adjacent sub-cubes that are overlapping/shared are only transmitted once.

Abstract: Various embodiments of the present technology comprise a method and apparatus for high dynamic range imaging. According to various embodiments, the method and apparatus for high dynamic range imaging is configured to select the “best” signal for each pixel location to construct an HDR output. In one embodiment, the “best” signal is select among various pixel signals and the pixel signal selected as the “best” signal is based on the value of the pixel signals and identification of non-saturated. If only one pixel value for a particular pixel location is non-saturated, then the “best” signal is the non-saturated signal. If more than one pixel value is non-saturated, then the “best” signal is the pixel signal with the greatest value. If two more pixel values are non-saturated and both have equally great values, then the “best” signal is the pixel signal with the shortest integration time.