Patents
Literature
Patsnap Eureka AI that helps you search prior art, draft patents, and assess FTO risks, powered by patent and scientific literature data.

2results about How to "High complexity" patented technology

A method and apparatus for linear block code redundancy transmission

The purpose of this invention is to provide a method and apparatus for linear block code redundancy transmission. The method includes: setting the [n,k] values ​​of the linear block code, where n is the total number of codes and k is the number of baseband information codes; generating n groups of block codes; and filtering the n groups of block codes through program debugging to determine 2... k A block code with weak cross-correlation and strong autocorrelation is used to generate input information; the input information is modulated, transmitted, demodulated, and decoded to generate output information. The apparatus for linear block code redundancy transmission includes a transmitter and a receiver; the transmitter is equipped with an encoder and a modulator; the encoder includes a block code generator, a filtering module, and an information output module; the receiver is equipped with a demodulator and a decoder. This method and apparatus for linear block code redundancy transmission is simple to apply and can improve signal sensitivity.
Owner:江苏钜芯集成电路技术股份有限公司

Initial QP selection optimization algorithm based on hierarchical reinforcement learning

PendingCN121940538Ahigh complexitySolve discrete optimization control problemsDigital video signal modificationMachine learningAlgorithmRate distortion
The invention discloses an initial QP selection optimization algorithm based on hierarchical reinforcement learning. According to the algorithm, action QP value selection is carried out from a rough target range to a fine target range by adopting a hierarchical reinforcement learning strategy; a two-layer decision selection architecture is adopted, and an enhanced Q learning algorithm is adopted; a reward value, namely a Q value, is obtained through CTU-level code rate control and an actual coding process in sequence; observing the next state and the last reward, performing TD iteration on the Q value, and updating the Q value to a corresponding Q table; performing an initial QP coding test based on the Q table obtained by training; the current state information is extracted, the Q table is inquired according to the current state, and the Q table gives a preferred action, namely, a preferred QP value; and then carrying out subsequent operation according to a coding process. According to the initial QP selection optimization algorithm based on hierarchical reinforcement learning, a long-term rate distortion target and a current coding target of video sequence coding are considered at the same time, and the method has a good capability of guiding code rate control optimization coding.
Owner:HAINAN NORMAL UNIV