A sonar system includes a sonar transducer having a plurality of transducer elements and a transceiver. The transceiver generates transducer drive signals and receives transducer echo signals. The system includes control circuitry, which, in operation, selectively couples transducer elements of the plurality of transducer elements to the transceiver. In a side scan mode of operation, the plurality of transducer elements are coupled to the transceiver, and in a forward scan mode of operation a subset of the plurality of transducer elements is coupled to the transceiver.

An apparatus, method, and computer-readable medium for high ping rate depth sounding. The apparatus may cause transmission of a first sonar beam having a first frequency and transmission of a second sonar beam having a second frequency with a transducer assembly. The transducer assembly maybe configured to transmit the first sonar beam and the second sonar beam into the underwater environment. The apparatus may receive sonar return data from the transducer assembly beginning either simultaneously with transmission of the first sonar beam or prior to transmission of the second sonar beam. The apparatus may further determine, based on sonar return data acquired after transmission of both the first sonar beam and the second sonar beam, that the sonar return data corresponds to the first sonar beam by determining that the sonar return data comprises the first frequency.

An apparatus, method, and computer-readable medium for high ping rate depth sounding. The apparatus may cause transmission of a first sonar beam having a first frequency and transmission of a second sonar beam having a second frequency with a transducer assembly. The transducer assembly maybe configured to transmit the first sonar beam and the second sonar beam into the underwater environment. The apparatus may receive sonar return data from the transducer assembly beginning either simultaneously with transmission of the first sonar beam or prior to transmission of the second sonar beam. The apparatus may further determine, based on sonar return data acquired after transmission of both the first sonar beam and the second sonar beam, that the sonar return data corresponds to the first sonar beam by determining that the sonar return data comprises the first frequency.

To implement a single-chip ultrasonic imaging solution, on-chip signal processing may be employed in the receive signal path to reduce data bandwidth and an output data module may be used to move data for all received channels off-chip as a digital data stream. The digitization of received signals on-chip allows advanced digital signal processing to be performed on-chip, and thus permits the full integration of an entire ultrasonic imaging system on a single semiconductor substrate. The on-chip digitization of received signals also enables the on-chip integration of ultrasound processing and/or pre-processing to reduce the burden on off-chip computing. Data compression architectures are disclosed to facilitate the transfer of data off-chip as a digital data stream in accordance with the bandwidth requirements of standard commercially-available output interfaces.

Systems and methods are disclosed for conducting an ultrasonic-based inspection. The systems and methods perform operations comprising: receiving a plurality of scan plan parameters associated with generating an image of at least one flaw within a specimen based on acoustic echo data obtained using full matrix capture (FMC); applying the plurality of scan plan parameters to an acoustic model, the acoustic model configured to determine a two-way pressure response of a plurality of inspection modes based on specular reflection and diffraction phenomena; generating, by the acoustic model based on the plurality of scan plan parameters, an acoustic region of influence (AROI) comprising an acoustic amplitude sensitivity map for a first inspection mode amongst the plurality of inspection modes; and generating, for display, a first image comprising the AROI associated with the first inspection mode for capturing or inspecting the image of the at least one flaw.

Systems and methods are disclosed for conducting an ultrasonic-based inspection. The systems and methods perform operations comprising: receiving a plurality of scan plan parameters associated with generating an image of at least one flaw within a specimen based on acoustic echo data obtained using full matrix capture (FMC); applying the plurality of scan plan parameters to an acoustic model, the acoustic model configured to determine a two-way pressure response of a plurality of inspection modes based on specular reflection and diffraction phenomena; generating, by the acoustic model based on the plurality of scan plan parameters, an acoustic region of influence (AROI) comprising an acoustic amplitude sensitivity map for a first inspection mode amongst the plurality of inspection modes; and generating, for display, a first image comprising the AROI associated with the first inspection mode for capturing or inspecting the image of the at least one flaw.

A plurality of images can be acquired from a plurality of sensors and a plurality of flattened patches can be extracted from the plurality of images. An image location in the plurality of images and a sensor type token identifying a type of sensor used to acquire an image in the plurality of images from which the respective flattened patch was acquired can be added to each of the plurality of flattened patches. The flattened patches can be concatenated into a flat tensor and add a task token indicating a processing task to the flat tensor, wherein the flat tensor is a one-dimensional array that includes two or more types of data. The flat tensor can be input to a first deep neural network that includes a plurality of encoder layers and a plurality of decoder layers and outputs transformer output. The transformer output can be input to a second deep neural network that determines an object prediction indicated by the token and the object predictions can be output.

A plurality of images can be acquired from a plurality of sensors and a plurality of flattened patches can be extracted from the plurality of images. An image location in the plurality of images and a sensor type token identifying a type of sensor used to acquire an image in the plurality of images from which the respective flattened patch was acquired can be added to each of the plurality of flattened patches. The flattened patches can be concatenated into a flat tensor and add a task token indicating a processing task to the flat tensor, wherein the flat tensor is a one-dimensional array that includes two or more types of data. The flat tensor can be input to a first deep neural network that includes a plurality of encoder layers and a plurality of decoder layers and outputs transformer output. The transformer output can be input to a second deep neural network that determines an object prediction indicated by the token and the object predictions can be output.

An ultrasonic diagnostic apparatus according to an embodiment includes transmission circuitry, receiving circuitry and extracting circuitry. The transmission circuitry cause an ultrasonic probe to perform three or more times of ultrasonic wave transmissions, an ultrasonic wave to be transmitted including a center frequency component, a phase of the center frequency component being different in each transmission. The receiving circuitry generates three or more reception signals corresponding to a common reception scanning line based on a plurality of reflected wave signals, the plurality of reflected wave signals being obtained through the three or more times of ultrasonic wave transmissions. The extracting circuitry extracts a nonlinear component included in the three or more reception signals by adding up the three or more reception signals after performing a processing including phase rotation processing on two or more reception signals among the three or more reception signals.

A sensor system may be used to measure characteristics of an object in a wellbore. The sensor system may include an ultrasonic transducer that generates an ultrasonic wave in a medium of the wellbore and detects a reflection signal of the ultrasonic wave off the object in the wellbore. The sensor system may also include a processing device and a memory device in which instructions are stored. The memory may include instructions that cause the processing device to receive the reflection signal from the ultrasonic transducer, and to truncate and preprocess the reflection signal to generate a truncated reflection signal. The instructions may also cause the processing device to apply time gain compensation to the truncated reflection signal and determine an echo wavelet from the time gain compensated signal representing an echo of the ultrasonic wave off of a wall of the wellbore.