The described technology is generally directed towards selecting a compression and/or quantization function for communicating data to and from an analog front end of a radio unit of a base station coupled to a digital baseband processor of a central unit of the base station. The compression function and/or quantization function can be adaptively and/or otherwise selected based on various criteria, such as the amount of data being transmitted, whether the data corresponds to reference signals or other data, the network architecture (e.g., digital beamforming or hybrid beamforming) in use, and so on.

Methods and systems for inspecting a product, such as a wire harness, including product features for inspection. A camera of an inspection station may capture a product image. A machine learning (ML) model may detect one or more objects in the captured product image and provide, for each detected object, an identification of a class of the detected object and an identification of a region of the detected object in the captured product image. The class of the detected object may be either an acceptable product feature class or an unacceptable product feature class. The inspection station may display an enhanced product image that includes the captured product image to which the identification of the class of the detected object and the identification of the region of the detected object in the captured product image for each detected object have been added.

A method of data compression performed by at least one core communicating with a central memory. The input data presents a two-dimensional input array formed by a plurality data items stored contiguously in the central memory according to a contiguous direction. The method comprises a step of wavelet transform comprising the following sub-steps: forming from the input array at least one tile comprising a plurality of consecutive data block columns, each data block column being formed by a plurality of lines of consecutive data items according to the contiguous direction, the length of each line being a multiple of the cache line length; and for each data block column computing dot products between a filter vector and each group of N lines using fused multiply-add instructions for the core.

The described technology is generally directed towards selecting a compression and/or quantization function for communicating data to and from an analog front end of a radio unit of a base station coupled to a digital baseband processor of a central unit of the base station. The compression function and/or quantization function can be adaptively and/or otherwise selected based on various criteria, such as the amount of data being transmitted, whether the data corresponds to reference signals or other data, the network architecture (e.g., digital beamforming or hybrid beamforming) in use, and so on.

The described technology is generally directed towards selecting a compression and/or quantization function for communicating data to and from an analog front end of a radio unit of a base station coupled to a digital baseband processor of a central unit of the base station. The compression function and/or quantization function can be adaptively and/or otherwise selected based on various criteria, such as the amount of data being transmitted, whether the data corresponds to reference signals or other data, the network architecture (e.g., digital beamforming or hybrid beamforming) in use, and so on.

An apparatus for a signal processor for Wide-Band Applications is provided. The signal processor includes a plurality of parallel branches. Each parallel branch includes a frequency shifter, a sigma-delta-modulator, and a filter. The output signal of each branch is combined via a signal recombiner. The signal processor is suitable for wide-band applications due to centering the zeros of the sigma-delta-modulator's noise transfer function and filter's noise transfer function at the frequency of the frequency shifter in the same branch of the signal processor. Centering these zeros at the frequency of the frequency shifter shapes the quantization noise added by the sigma-delta-modulator away from the input signal frequency to make it easier to remove the quantization noise. This wideband performance is also achieved due to the design of the embodiment's filters. The embodiments of this invention use filters with symmetric transition bands and a pass-band that is wide enough for use in wireless applications.

A method of data compression performed by at least one core communicating with a central memory. The input data presents a two-dimensional input array formed by a plurality data items stored contiguously in the central memory according to a contiguous direction. The method comprises a step of wavelet transform comprising the following sub-steps: forming from the input array at least one tile comprising a plurality of consecutive data block columns, each data block column being formed by a plurality of lines of consecutive data items according to the contiguous direction, the length of each line being a multiple of the cache line length; and for each data block column computing dot products between a filter vector and each group of N lines using fused multiply-add instructions for the core.

Methods and systems for inspecting a product, such as a wire harness, including product features for inspection. A camera of an inspection station may capture a product image. A machine learning (ML) model may detect one or more objects in the captured product image and provide, for each detected object, an identification of a class of the detected object and an identification of a region of the detected object in the captured product image. The class of the detected object may be either an acceptable product feature class or an unacceptable product feature class. The inspection station may display an enhanced product image that includes the captured product image to which the identification of the class of the detected object and the identification of the region of the detected object in the captured product image for each detected object have been added.

This application provides a data processing method and apparatus. The method is applied to a storage system. The storage system includes a storage apparatus and a processing apparatus. The method is performed by the processing apparatus. The method includes: obtaining a tiered storage feature and a data feature of first data, where the tiered storage feature includes at least one of the following features: an importance, an access frequency, and a retention time, and the data feature includes at least one of the following features: a data type, a data dimension, a data size, or a data content feature; determining a first compression algorithm based on the tiered storage feature and the data feature; and compressing the first data based on the first compression algorithm, to obtain compressed data.

The described technology is generally directed towards selecting a compression and/or quantization function for communicating data to and from an analog front end of a radio unit of a base station coupled to a digital baseband processor of a central unit of the base station. The compression function and/or quantization function can be adaptively and/or otherwise selected based on various criteria, such as the amount of data being transmitted, whether the data corresponds to reference signals or other data, the network architecture (e.g., digital beamforming or hybrid beamforming) in use, and so on.