Amlogic (Shanghai) Co., Ltd.

Huawei Technologies Co., Limited

Shanghai Jiao Tong University

Shanghai Academy of Agricultural Sciences

Jie Feng

Kun Zhang

Yanfang Liu

Jia Luo

Liping Liu

Shikai Liu

Yiwei Hong

Jinyu Luo

Shuangqing Li

Yongpeng Wu

Feng Shu

Shuai Zhou

Jingsong Zhang

A preparation method of apolysaccharide rich in β-glucan includes: (1) extracting thepolysaccharide to obtain a filtrate; (2) concentrating the filtrate to obtain a supernatant; (3) precipitating a crudepolysaccharide from the supernatant using anhydrous ethanol to obtain a first precipitate; and (4) purifying the first precipitate to obtain thepolysaccharide. Thepolysaccharide rich in the β-glucan has stable quality, and its yield, polysaccharide content and β-glucan content are significantly improved compared with water extraction and alcohol precipitation methods in the related art. In vitro pharmacological experiments prove that thepolysaccharide rich in the β-glucan has good anti-inflammatory activity and can be applied to preparation of drugs or health foods.

Beta-glucan-rich lentinula edodes polysaccharide and preparation method thereof

This application provides example signal processing methods, media, and apparatuses. One example method includes obtaining a scattering parameter matrix of passive echoes in an antenna system by a network device. The m virtual user directions are determined by the network device based on the scattering parameter matrix of the passive echoes, where the m virtual user directions are m directions in which total signal strength of the passive echoes is highest, and m is a positive integer. A target beam is formed based on n real user directions and the m virtual user directions, where one or more nulls of the target beam are aligned with the m virtual user directions, n is a positive integer, and n+m≤k.

Signal processing method and network device

The present invention provides a MIMO transmission method for discrete modulated signals. The method is mainly characterized in maximizing the mutual information of symbol vectors of a transmitter and a receiver by joint optimization of a source distribution and a precoding matrix. When the current precoding matrix G is determined, the distribution of source multi-dimensional vectors x is maximized by a Lagrange multiplier method to maximize a source entropy; and when the distribution of the current source multi-dimensional vectors x is determined, the precoding matrix G is optimized by a gradient descent method to maximize the mutual information of the transmitted and received vectors. The transmission rate approximates the Shannon limit under a MIMO scenario by joint optimization of the source distribution and the precoding matrix. After the transmitter determines a marginal distribution of symbols of each channel, a non-uniform modulation is performed by using a probabilistic amplitude shaping technology.

MIMO transmission method for discrete modulated signals

The invention provides a method for calibrating crystal frequency offset through an internal loop of a central processing unit (CPU), which comprises: outputting an oscillation exciting signal to a crystal circuit by the CPU; producing a clock signal by the crystal circuit; outputting the clock signal through an output port arranged on the CPU by the internal loop; and adopting and connecting a frequency meter to the output port, and receiving and testing the clock signal to obtain a testing result; determining whether a deviation of the clock signal is qualified; if it is qualified, the tester exits subsequently, otherwise the tester regulates the crystal circuit, and then turning to Step S. The clock signal of the CPU is output at the output port through the internal loop, and then the frequency meter is used for measuring the clock without being influenced by a probe, and the measurement is more accurate.

Method for calibrating crystal frequency offset through internal loop of central processing unit

A method for calibrating crystal frequency offset through a radio frequency signal includes, in Step S1, a radio frequency port of a device is connected to one end of a radio frequency cable through a copper pipe connector and the other end of the radio frequency cable is connected to a Wireless Local Area Network (WLAN) tester which is connected with a control terminal. In Step S2, a user controls the WLAN tester to test the radio frequency signal of the device through the control terminal to obtain a test result, and determines whether a deviation of the radio frequency signal is qualified. If it is qualified, the user exits the test, otherwise the user regulates the crystal circuit of the device under test, and returns to Step S2. The method may not be affected by a probe, thus the measurement may be more accurate.

Method for calibrating crystal frequency offset through radio frequency signal

The present invention provides a method for measuring an internal Phase Locked Loop of a Central Processing Unit (CPU) by a frequency meter, wherein the method comprises following steps: the (CPU) outputting an oscillation excitation signal to a crystal circuit; the crystal signal generating a clock signal; the internal loop respectively outputting the clock signals that does not pass through and passes through the phase locked loop; adopting a frequency meter to receive the clock signals and perform a clock precision test to correspondingly obtain a first test result and a second result; comparing the first test result and the second result to obtain a result of the stability of the phase locked loop. The beneficial effects of the invention: the operation is simple and it does not need to buy an expensive oscilloscope, the accurate precision of the PLL can be measured without the influence of the crystal.

Method for measuring stability of internal phase locked loop of central processing unit by frequency meter

A data integration method and apparatus, where the method includes sampling a first data source (A) at least twice to obtain a first sample data source (a) and a second sample data source (a'), separately calculating an index of each attribute field of the A, a second data source (B), the a, and the a&#x2032;, determining a decision value of an attribute field Xof the A according to a difference degree between an index of an attribute field Xof the a and an index of each attribute field Xof the a&#x2032;, and mapping, to the attribute field Xof the first data source, an attribute field that is of the B and whose index and the attribute field Xof the A have a difference degree less than the decision value.

Growing community of inventors

Shanghai, China

Jie Feng