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83results about How to "Consider complexity" patented technology

Quasi-cyclic low density parity check code (LDPC) construction method and device based on protographs

The invention discloses a quasi-cyclic low density parity check code (LDPC) construction method and a device based on protographs. The protographs are expanded for two times in the construction method. A first expansion time L1 is smaller. A correcting progressive edge growth (PEG) algorithm is adopted to remove multiple edges of protographs. The girths of codes which are expanded are increased. A second expansion time is L2 and a cyclic shift offset is selected for connection which is established in the first expansion. Each connection corresponds to a unit cyclic matrix, wherein the size of the unit cyclic matrix is L2 * L2. The method references a local optimization idea of the PEG algorithm to construct a basis matrix of the quasi-cyclic LDPC code. The connection is established between each row of variable nodes and checking nodes and is confirmed in corresponding cyclic shift offset process. According to the correcting PEG algorithm, new rings formed in the basis matrix caused by the newly established connection are gone through. The fact that expansion factors A of the rings are larger than one is guaranteed. Thus, the rings with length of four are avoided. The number of short rings is reduced. The short rings which are small in connectivity emerge in a checking matrix are avoided by utilizing an ACE multiplication principle.
Owner:PEKING UNIV

Nano crystallite composite filter material and supplement of manufacture method thereof

The invention extends the connotation range required to be protected on the basis of a previously issued patent ZL200710025045.4, i.e., a nanometer microcrystalline composite filter material and a preparation method thereof, belonging to the field of a water disposal technique material. According to weight percentage, the nanometer microcrystalline composite filter material comprises 3-95 percent of attapulgite clay, 5-80 percent of sepiolite clay, 2-25 percent of kaolinite clay, 2-97 percent of tubular halloysite, 5-75 percent of diatomite, 5-75 percent of natural zeolite (clinoptilolite, mordenite and the like), 0-25 percent of pillared montmorillonite, 0-50 percent of expanded vermiculite, 0-5 percent of expanded perlite and 0-50 percent of active carbon or bamboo carbon powders. All raw materials which are powder shapes are mixed according to proportion and stirred to granulate by adding an inorganic adhesive, then sintered and activated at the temperature of 900-500 DEG C (inert gas is required for sintering and activating the filter material added with active carbon). The nanometer microcrystalline composite filter material has smooth shape, rough surface and uniform particle size, with the diameter of 1-10mm, and is used for biological filter tanks and high-class adsorption filter materials in deep purification systems of drinking water and reclaimed water sewage disposal systems.
Owner:傅成义

System for soft symbol decoding with MIMO log-map detection

A soft symbol decoder for use in a multiple input multiple output (MIMO) and OFDM (orthogonal frequency division multiplexing) system. The decoder generates soft symbol values for a digital signal that represents a number of source bits. The source bits are transmitted as symbols in corresponding to points in a signaling constellation. Soft metrics are determined by searching for all possible multi-dimensional symbols that could have been transmitted. The method includes transmitting a sample of the multi-dimensional symbol using K transmit antennas. The multi-dimensional symbol is represent-able as a complex, K-dimensional vector x. Each vector component of vector x represents a signal transmitted with one of the K transmit antennas. After transmission through a communication channel, a sample corresponding to the transmitted sample is received. The received sample is represented by a complex, N-dimensional vector y, where N is the number of receive antennas in the MIMO system. After the sample is received, a soft metric L(bi) is determined for each bit bi encoded by x according to the equation:
L(bi)=σ-2·(minxjbi=-1y-Hxj2-minxjbi=+1y-Hxj2),
and xj represents all possible values for x. In addition, a reduced complexity method is used for providing soft metric values in the MIMO system. This exemplary aspect reduces the complexity of the above computations from 2BK to 2B(K−1), where B is the number of bits transmitted per symbol per antenna.
Owner:QUALCOMM INC

Publish-subscribe matching method based on demand management tree model

InactiveCN108183931AManageableEffectively balance matching complexityResourcesTransmissionSubject specificInformation product
The invention discloses a publish-subscribe matching method based on a demand management tree model, the method comprises the following contents: 1, customizing a content label specification of an information product, and processing newly produced information products through the content label specification; 2, building a center directory database based on the demand management tree model, and summarizing subscription demands of all users; 3, realizing inquiry to the center directory database through content labels, and acquiring a to-be-sent subscriber list. The method provided by the invention provides a concentrated publish-subscribe implementation thinking and can easily implement management and user subscription of massive published themes, and processing modes are manageable, controllable and expandable. Compared with a conventional relational database, the method provided by the invention improves access efficiency of one order of magnitude and realizes effective consideration of both matching complexity and matching efficiency. A unified content label specification provided by the method can be used for unified management of various information based on content, and the method has better standardized generalization conditions.
Owner:NO 30 INST OF CHINA ELECTRONIC TECH GRP CORP

Micro big dipper satellite navigation anti-interference array signal processing board card and anti-interference processing method thereof

The invention discloses a micro big dipper satellite navigation anti-interference array signal processing board card and an anti-interference processing method thereof. The board card comprises an analog-to-digital conversion module, an anti-interference processing module, a digital analog conversion module, a clock distribution module and a power supply module, wherein the analog-to-digital conversion module is used for carrying out quantification processing on a received simulation intermediate frequency signal, the anti-interference processing module is used for carrying out digital bandpass filtering and digital down conversion processing on N paths of digital intermediate frequency signals outputted by the analog-to-digital conversion module to form N paths of complex base-band signals, anti-interference filtering for the N paths of complex base-band signals is carried out according to an anti-interference algorithm to acquire digital intermediate frequency signals after anti-interference processing, the digital analog conversion module is used for converting the digital intermediate frequency signals outputted by the anti-interference processing module into simulation intermediate frequency signals, and the simulation intermediate frequency signals are outputted to a front radio frequency module. The board card is advantaged in that, a system framework is simplified, system complexity is reduced, power consumption is reduced, system dimensions decrease, and cost is reduced.
Owner:湖南北斗讯达科技有限公司

System for soft symbol decoding with MIMO log-map detection

A soft symbol decoder for use in a multiple input multiple output (MIMO) and OFDM (orthogonal frequency division multiplexing) system. The decoder generates soft symbol values for a digital signal that represents a number of source bits. The source bits are transmitted as symbols in corresponding to points in a signaling constellation. Soft metrics are determined by searching for all possible multi-dimensional symbols that could have been transmitted. The method includes transmitting a sample of the multi-dimensional symbol using K transmit antennas. The multi-dimensional symbol is represent-able as a complex, K-dimensional vector x. Each vector component of vector x represents a signal transmitted with one of the K transmit antennas. After transmission through a communication channel, a sample corresponding to the transmitted sample is received. The received sample is represented by a complex, N-dimensional vector y, where N is the number of receive antennas in the MIMO system. After the sample is received, a soft metric L(bi) is determined for each bit bi encoded by x according to the equation: L⁡(bi)=σ-2·(minxj|bi=-1⁢y-Hxj2-minxj|bi=+1⁢y-Hxj2),,and⁢ ⁢xjrepresents all possible values for x. In addition, a reduced complexity method is used for providing soft metric values in the MIMO system. This exemplary aspect reduces the complexity of the above computations from 2BK to 2B(K−1), where B is the number of bits transmitted per symbol per antenna.
Owner:QUALCOMM INC

Method for transmitting high energy-efficient perceptual information based on LT code significance sampling

The invention provides a method for transmitting high energy-efficient perceptual information based on LT code significance sampling in a cognitive radio wide band collaboration frequency spectrum perception network. Optimization degree distributed design based on LT code significance sampling is adopted to perform channel coding for perceptual information, so that the calculation complexity is lowered, the system performance is better optimized, and energy consumed during transmission process is effectively saved while the reliability of transmission of perceptual information is ensured; if a perceptual node is far away from a center node, a single-hop decoding forwarding relay method is adopted, so that the transmission energy consumption is further reduced; degree distribution optimization is adopted to select degree value to obtain a probability optimization value, corresponding optimization degree distributed design is obtained based on a robust solitary wave distribution function, and finally, normalization is performed on the designed optimization degree distribution to obtain a practical degree distribution. MATLAB simulation experiment proves that the method, compared with the conventional degree distribution, is improved in performance.
Owner:NANJING UNIV OF AERONAUTICS & ASTRONAUTICS

Intelligent fuel oil pump with metering control function

The invention discloses an intelligent fuel oil pump with a metering control function. The intelligent fuel oil pump comprises an intelligent control unit, a servo motor, a gear pump, a differential pressure scanning measuring device, a differential pressure sensor and an oil path selection control valve, wherein the differential pressure scanning measuring device is located at the outlet of the gear pump, a throttling opening with a proper flow area is gated according to the flow range, and relative high flow measurement sensitivity is achieved while the relative low differential pressure isguaranteed; the intelligent control unit converts the differential pressure into the real-time flow, and the rotating speed of the servo motor is controlled according to the deviation between the expected flow and the real-time flow, so that the required fuel oil amount is pumped out by the gear pump; and the oil path selection control valve is used for gating a main oil path and an auxiliary oilpath of a fuel oil nozzle, so that the oil supply requirement of less flow in the engine starting process is met. According to the intelligent fuel oil pump with the metering control function, the fuel oil can be supplied as needed, the intelligent fuel oil pump has the advantages of being high in metering precision, small in pressure loss, compact in structure and convenient and fast to use, andcan be conveniently used for fuel oil control of an aero-engine and a gas turbine.
Owner:NANJING UNIV OF AERONAUTICS & ASTRONAUTICS

Plateau mountain multi-model multi-scale new energy power station output joint prediction method

The invention discloses a multi-scale new energy power station output joint prediction method based on a plateau mountain multi-model area. The method comprises the following steps: S1, establishing a wind energy joint prediction basic model; s2, selecting a feature day which is the same as or similar to the weather state of the prediction day based on the four-dimensional features; s3, establishing a characteristic day turbulence prediction model based on the characteristic day and the wind energy prediction basic model; and S4, performing new energy power station output joint prediction based on the characteristic daily turbulence prediction model. The invention further discloses a corresponding prediction system, electronic equipment and a computer readable storage medium, wind energy prediction is subjected to joint or coordinated prediction according to geographical and meteorological influence factors, coupling is analyzed, respective input quantities and coupling characteristics are determined, model complexity and generalization ability are taken into consideration, and the prediction efficiency is improved. And automatically selecting the date with the highest similarity with the weather condition of the prediction day as a feature day, and training the prediction model by taking the meteorological data and the output power data of the feature day as training samples so as to obtain relatively high prediction precision.
Owner:国能重庆风电开发有限公司
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