5 results about "Signaling Compression" patented technology

This application provides a method for batch handover of user terminals in a low-Earth orbit satellite network, comprising: a source satellite-borne base station sending measurement indicators of multiple user terminals entering its edge radii to multiple neighboring satellites to a satellite-borne decision center; the satellite-borne decision center inputting the measurement indicators into a packet handover decision model, outputting packet handover decision results, and returning the packet handover decision results to the source satellite-borne base station; the source satellite-borne base station determining the target neighboring satellites to which the multiple user terminals should handover based on the packet handover decision results and initiating batch handover request messages; and each target neighboring satellite, based on the batch handover request messages, cooperating with the source satellite-borne base station and each user terminal to complete the service handover. The dedicated signaling process for batch handover and the accompanying signaling compression method designed above can significantly reduce the transmission pressure of inter-satellite links. Furthermore, by using a deep learning model to consider the complex states and constraints of multiple users and multiple satellites for joint decision-making, it can more accurately select the satellites for handover.

Compression technology comprises deriving chroma quantization parameter (Qpc) based on luma Qp using luma-to-chroma Qp mapping table. Such a table may be shared by the encoder and the decoder. However, in some cases, signaling such a table in the data stream instead of having it fixed by a standard may be advantageous. The syntax used to encode, signal and decode this table has a cost in terms of bitrate. The present principles propose to signaling of a luma-to-chroma mapping table in the data stream according to different embodiments.

The present disclosure provides a data compression method, device, apparatus and storage medium, the method comprising: obtaining a target signal, removing the sign bits of the target signal to obtain a first signal comprising data bits; determining a quantization range corresponding to each segment based on the bit width of the data bits of the first signal and the number of segments of the normalization processing; each segment and its corresponding quantization range form a broken line segment; determining a target broken line segment corresponding to the first signal according to the amplitude of the first signal, and processing the first signal according to the target quantization range corresponding to the target broken line segment, so that the processed first signal is closer to the starting broken line segment than the first signal before processing; performing data bit truncation processing on the processed first signal to obtain a compressed signal; the bit width of the data bits of the compressed signal is smaller than the bit width of the data bits of the first signal. In this way, the signal compression quality can be improved and the compression process can be simplified.

The application discloses a low-repetition-frequency pulse sequence super-resolution sampling and data compression method, and relates to the field of digital signal processing.The method comprises the following steps: inputting an external pulse signal P(t) and a sampling clock signal T(t) into D TDC sampling modules to perform sub-picosecond time-to-digital conversion and obtain a state sampling matrix S; comparing the sampling clock signal, performing D-phase oversampling on the state sampling matrix S output by the TDC sampling module within one clock cycle and latching, obtaining original sampling data stream P(ts) of the input signal through a TDC calculation unit; analyzing the original sampling data stream P(ts), calculating the absolute time of arrival TOA of the first pulse in the time segment in real time as a reference time point in the time segment, and performing signal compression on subsequent pulses by using a differential-entropy coding method; and storing the compressed code stream into a local storage unit and realizing data uploading through an external communication interface.The application realizes sub-picosecond super-resolution recording and hard real-time data compression of a low-repetition-frequency pulse sequence.

The application relates to a multi-channel neural signal compression circuit device, a control method and a storage device, and relates to the technical field of neural signal processing. The device comprises an analog-digital front-end group, a data packer and a data transmission baseband module. The analog-digital front-end group comprises N channel processing units arranged in parallel. Each channel processing unit is integrated with an analog conditioning circuit, an analog-digital converter and an adaptive differential compression module. The adaptive differential compression module is directly coupled to the digital output end of the corresponding analog-digital converter of the channel, and compression processing is completed in the local data path of the channel. By integrating the adaptive differential compression module in the channel processing unit, efficient compression is realized by utilizing the time domain correlation of neural signals. Meanwhile, the data transmission is optimized by adopting a three-state bus structure, the data transmission load and system power consumption are significantly reduced, and low-power wireless transmission of high-throughput neural signals is realized.