30results about How to "Reasonable complexity" patented technology

High quality communications among a diverse set of cognitive radio (CR) nodes is permitted while minimizing interference to primary and other secondary users by employing Dynamic Spectrum Access (DSA) in a Dynamic Cellular Cognitive System (DCCS). Diverse device types interoperate, cooperate, and communicate with high spectrum efficiency and do not require infrastructure to form the network. The dynamic cellular cognitive system can expand to a wider geographical distribution via linking to existing infrastructure.

The present invention concerns a receiver and a method for retrieving data from Ultra wideband radio transmission signals received by a receiver and transmitted in packets containing at least a preamble known to the receiver and a payload containing data unknown to the receiver. The payload data is formed of at least one burst containing at least one pulse. The method comprises the steps of receiving a signal corresponding to the preamble of a packet by a receiver; determining the energy of the received signal; determining weighting coefficients from the energy of the received signal; receiving a signal corresponding to the payload of a packet by a receiver; determining the energy of the received signal; calculating a threshold depending on the weighting coefficients; and applying a decision rule based on the sampled energy, weighted by said weighting coefficients and depending on said calculated threshold.

The present invention relates to the field of machine learning, in particular to a multi-label classification method based on a gravitational model, comprising: obtaining a labeled sample set as a training sample set; calculating and sorting the distance between the training sample and other training samples to obtain the training sample Neighbor set; in the neighbor set, the positive correlation matrix is ​​constructed with the positive correlation between the labels, and the negative correlation matrix is ​​constructed with the negative correlation between the labels; the neighbor set of the sample to be tested is calculated, and the positive correlation matrix to be tested is constructed according to the neighbor set. The correlation matrix and the negative correlation matrix to be tested; the positive correlation matrix and the negative correlation matrix to be tested are used to obtain positively correlated data particles and negatively correlated data particles; a gravity model is constructed, and the positively correlated data particles and negatively correlated data are obtained through the sample to be tested The gravitational relationship between particles is classified; the invention introduces the consideration of the negative correlation between labels, fully utilizes the correlation between labels, and discovers the correlation in the neighbor set, avoiding global calculation and reducing the complexity.

The invention relates to an NPRACH signal detection method and a device, an NPRACH receiver and a storage medium. The method comprises the following steps: acquiring a check matrix model of a terminalsignal in an NPRACH; wherein the test matrix model comprises an RCFO variable and a TA variable; carrying out eigenvalue decomposition on the test matrix model to obtain a maximum eigenvalue of the test matrix model as a test metric value; comparing the test metric value with a detection threshold value; if the test metric value is not less than the detection threshold, determining that a terminal signal exists in the NPRACH, and calculating a feature vector corresponding to the test metric value as a basic vector; constructing a signal value optimization model according to the basic vector;and solving the signal value optimization model, when the maximum value of the target function is obtained, obtaining the value of a parameter variable in the signal value optimization model, and determining the optimal detection value of the terminal signal in the NPRACH according to the value of the parameter variable. The method is reasonable in complexity, can quickly and accurately estimate the RCFO and TA in the signal, and is good in NPRACH signal detection effect.

A method is proposed for generating an OFDM type multicarrier signal including OFDM blocks constituted by M carriers modulated by source symbols. The method includes the following steps: interleaving the M symbols of a block of source symbols into R sub-blocks of N interleaved symbols; obtaining a block of M time domain samples corresponding to the block of M source symbols; forming a peak vector containing N maximum amplitudes determined from among the M samples; attenuating the extrema of each sub-block of N time domain samples corresponding to the R sub-blocks of N interleaved symbols by a correction of symbols taking account of the peak vector and delivering R sub-blocks of N corrected interleaved symbols; de-interleaving the R sub-blocks of N corrected interleaved symbols delivering a block of M corrected source symbols; generating an OFDM block of the signals corresponding to the block of M corrected source symbols.

Embodiments of the present invention provide a motion prediction or compensation method during a video coding and decoding process. A motion prediction or compensation method provided in the embodiments of the present invention includes: acquiring a candidate motion vector set; conducting a refined search for an optimal motion vector based on information of the candidate motion vector set; and performing motion prediction or compensation by using the motion vector acquired by the refined search. This improves coding performance and meanwhile maintains reasonable complexity.

The invention discloses a method and device for accelerating database operations, which are applied to a database connected with a hardware accelerator. The method includes: when receiving an initial execution plan tree sent by the database that needs to be accelerated, Supported basic operations and acceleration resources process the initial execution plan tree and generate a new execution plan tree; if the new execution cost of the new execution plan tree is less than the initial execution cost of the initial execution plan tree, according to the organization and operation of the hardware accelerator, the The new execution plan tree is distributed to the hardware accelerator for execution; the result data after the hardware accelerator accelerates the database operation is determined according to the execution result returned by the hardware accelerator, so that the execution plan tree of the database matches the execution function and capability of the accelerated hardware accelerator And maintain a reasonable complexity, and then give full play to the acceleration capability of the hardware accelerator.