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566 results about "Decision threshold" patented technology

Decision thresholds. A decision threshold is a value that dichotomizes the result of a quantitative test to a simple binary decision. The test result of a quantitative diagnostic test is dichotomized by treating the values above or equal to a threshold as positive, and those below as negative, or vice-versa. There are many ways to choose...

Network system for providing mobile edge computing service and service method thereof

The invention discloses a network system for providing mobile edge computing service and a service method thereof, so as to solve the technical problem of flexible deployment of MEC on a mobile communication network. In the C-RAN architecture, an SDN-based MEC controller is deployed, and an MEC server is deployed in the BBU. The service implementation step mainly comprises the following steps: setting a decision threshold; judging whether the time delay is sensitive or not and the like to determine a computing mode by an MEC controller; and giving a computing result through four computing modes of computing of a local MEC server, combination computing of a plurality of MEC servers, computing of a specific non-local MEC server and computing of a cloud center; and finishing all user MEC tasks through repeated executions. According to the method, the MEC service is realized; meanwhile, the remaining computational resources in the BBU can be sufficiently used, and the MEC network hierarchyis more concise, so that the management is facilitated, the data transmission efficiency is improved, the pressure of a core network is relieved, and the overall computing task time delay is reduced.The method can be used for flexible deployment of the MEC on the mobile communication network in the present 4G period, the 4G to 5G transition period and the 5G period.
Owner:XIDIAN UNIV

Cooperative spectrum sensing method in cognitive radio system

InactiveCN101459445APracticalOvercome the shortcomings of not being able to effectively resist malicious node attacksTransmission monitoringWireless communicationData packFrequency spectrum
The invention relates to a cooperative frequency spectrum perception method in a cognition wireless system. An existing cooperative frequency spectrum perception method is unable to effectively resist attracts of malicious users. The method of the invention comprises: firstly conducting the energy detection to a main user signal by each user, sending the energy detection result to a control center, reading out the creditability of each user from a user creditability data pack, and obtaining the weight parameter of each user in the cooperative perception after the normalization treatment, and comparing the local perception result with a decision threshold of a system after multiplying the local perception result with the weight parameter of the related user, if the compared result is larger, meaning that a target frequency brand is currently used by the main user, or the target frequency brand is not currently used by the main user if smaller. The method of the invention has the simplicity and the practicability of a linear cooperative perception algorithm, overcomes the weaknesses of being unable to resist malicious node attacks in the existing method, and lightens the affects of the malicious nodes to the perception performance of the whole cognition wireless system.
Owner:ZHEJIANG UNIV

Multi-band structure self-adaptive filter switching method for AEC (acoustic echo cancellation)

ActiveCN106782593AAchieving Convergence Speed ​​AdvantageOvercome speedSpeech analysisMulti bandAdaptive filter
The invention discloses a multi-band structure self-adaptive filter switching method for AEC (acoustic echo cancellation). Firstly, a far-end voice signal is acquired; a voice endpoint is detected, and a VAD (voice activity detection) flag bit and an improved envelope decision threshold are output; the voice signal is fed into a loudspeaker to serve as a desired signal and also input into a self-adaptive filter; the self-adaptive filter adopts a switchable multi-band structure and a corresponding self-adaptive algorithm, parameters of the filter are adjusted by use of the least mean square criterion according to feedback information, and the optimal solution is obtained. According to the provided switching method, voice characteristics are considered sufficiently under the condition that steady maladjustment is guaranteed, and optimized configuration of the convergence rate and the algorithm complexity is realized while advantages of the algorithm in the convergence rate are utilized. During actual application of echo cancellation, a single algorithm does not easily meet various variable demands. The variable switching algorithm provides more probability for a user and has great significance in application of self-adaptive echo cancellation.
Owner:CHONGQING UNIV OF POSTS & TELECOMM

Long-distance line type wireless sensor network cross-layer communication method

The invention discloses a long-distance line type wireless sensor network cross-layer communication method. The long-distance line type wireless sensor network cross-layer communication method includes the following steps that: at first, a wireless sensor network adopts a double-chain topologic structure, and each aggregation node only communicates with two sensor nodes; and then, the aggregation nodes perform whole-network periodic time synchronization; and finally, the sensor nodes synchronously perform periodic monitoring and sleep, wherein the periodic monitoring and sleep includes a monitoring phase and a sleep stage, in the monitoring phase, the sensor nodes compete time slot deployment of the whole-network sensor nodes through transmitting time slot deployment requests, and in the sleep stage, the sensor nodes perform data transmission according to the time slot deployment of the sensor nodes their own. According to the long-distance line type wireless sensor network cross-layer communication method of the invention, the characteristics of the long-distance line type wireless sensor network are considered; a cross-layer design method is adopted, and communication decision threshold and time slot deployment modes are adopted in combination, and therefore, the network can be more suitable for cross-layer protocols; and the problem of long time delay caused by periodical monitoring and sleep can be solved.
Owner:HOHAI UNIV
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