103 results about "Noise optimization" patented technology

The invention discloses a millimeter-wave phase-locked loop, which comprises a voltage-controlled oscillator, an orthogonal output injection locked frequency divider, a charge pump and a loop filter, wherein the voltage-controlled oscillator is used for generating an oscillating signal of a set frequency by adopting a differential input tuning way; the orthogonal output injection locked frequency divider is used for performing frequency division processing on the oscillating signal to output multiple paths of orthogonal frequency division signals; the charge pump is used for converting a pulse signal into an analog voltage signal for realizing differential output; the loop filter is connected between the charge pump and the voltage-controlled oscillator, and is used for filtering an analog voltage signal output by the charge pump to input into the voltage-controlled oscillator. The millimeter-wave phase-locked loop is used for supplying a local oscillator signal of a set frequency to a 60GHz millimeter-wave communication system. According to the structure of the differential tuning voltage-controlled oscillator in the phase-locked loop, the noise of the oscillator is optimized, and the noise optimization of the entire phase-locked loop is facilitated greatly. A differential input control voltage is provided for a differential voltage-controlled oscillator through the charge pump, so that higher phase noise performance is achieved.

The invention discloses a double-clutch type automatic transmission fork shifting gear engaging force dynamic self-adapting method. The fork shifting is divided into a plurality of stages during the gear shifting process. The double-clutch type automatic transmission fork shifting gear engaging force dynamic self-adapting method comprises the following steps of (1) obtaining ranges of a maximum value and a minimum value of a preset shifting fork movement speed at different stages during fork shifting gear engaging; (2) computing a shifting fork real-time movement speed and confirming a maximum value and a minimum value of the shifting fork movement speed at the different stages during the fork shifting gear engaging; (3) comparing the maximum value and the minimum value of the shifting fork movement speed with the range of the maximum value and the minimum value of the preset shifting fork movement speed at the same stage, obtaining the fork shifting gear engaging force to be adjusted and the stage and recording and adjusting the fork shifting gear engaging force when the shifting fork gear shifting achieves a corresponding stage. The double-clutch type automatic transmission fork shifting gear engaging force dynamic self-adapting method is applied to control of a double-clutch automatic transmission and achieves vehicle gear shifting noise optimization.

A RF device includes a RF integrated circuit having a RF input and a RF output. The RF integrated circuit has an NMOS transistor having a gate terminal coupled to the RF input, a drain terminal coupled to a first power supply node and a source terminal coupled to a second power supply node. The RF integrated circuit is vulnerable to damage from an ESD event. A primary ESD protection circuit is coupled to the RF input and between the first and second power supply nodes. A secondary ESD protection circuit is coupled between the RF input and the second power supply node. The secondary ESD protection circuit includes a secondary ESD protection diode coupled between the gate and source terminals of the NMOS transistor.

A method for noise optimization to IC supply network with decoupling capacitance characterizes in that it utilizes a computer to model the optimization of a supply network against ASIC diagram location structure feature and the supply network based on a standard diagram and applies a nonlinear program method In this inventionú¼area of the decoupling capacitance is the target of optimization to minimize its area to reserve enough blank space for latter stage of work such as buffer plug. Equivalent circuit method is used in the resolving process to reduce the resolving scale greatly to increase speed and save memory.

The invention discloses an indoor positioning method based on wireless signal data fusion. Through adopting a mode of fusing WIFI (wireless fidelity) signals and RFID (radio frequency identification) signals, a Kalman filter is combined for carrying out noise optimization processing on received signals, in addition, the obtained optimized RSSI (received signal strength indicator) value is subjected to three-edge measurement calculation, so that a positioning coordinate of the moving node is obtained. The indoor positioning method has the advantages that the noise reducing processing of the Kalman filter is used, the interference of the indoor noise on wireless signals can be effectively reduced, and the indoor positioning precision is improved. The indoor positioning precision is further improved through the fusion positioning of the WIFI technology and the RFID technology, and in addition, the robustness of the positioning method is greatly improved through the organic cooperation complementation of the two positioning technologies. Through the fusion positioning of the WIFI signals and the RFID signals, the balance point of the indoor positioning precision and the equipment cost expenditure is obtained, in addition, the concrete coordinate of an object to be positioned is obtained, and meanwhile, the description information about ambient environment of the object to be positioned can also be known.

A prediction apparatus for sound absorption and insulation performance of a multilayer material and a method are disclosed and relate to the field of testing of sound absorption and insulation performance of materials. The apparatus comprises an impedance tube with a built-in to-be tested single-layer material, a microphone group, a power amplifier, a data acquisition device, a computer and a loudspeaker. The method comprises: firstly testing the sound absorption and insulation performance of a single-layer material; testing the transfer function matrixes of other single-layer materials, and storing in a database; and utilizing the transfer function matrixes of the single-layer materials to calculate the sound absorption and insulation performance of the multi-layer material. According to the technical scheme, a four pole network theory is firstly utilized for testing the transfer function of the single-layer materials, and then the transfer function matrixes of the single-layer materials are utilized for directly obtaining the sound absorption coefficient and the transmission loss of the multi-layer material. The method is easy to realize and convenient to operate, also is high in testing precision, makes up insufficiency of impedance tube testing, and is widely applicable to noise optimization control of multiple fields.

The invention relates to a noise optimization method, device and equipment for an air conditioner and an air conditioning system. The method comprises the steps that noise parameters of a preset detection time period are obtained; the noise parameters comprise a noise total value and a noise peak value; the current frequency of the target equipment is adjusted according to the temperature difference between the indoor temperature and the set temperature; whether a first target frequency exists in the adjustment process is judged, the total noise value is smaller than or equal to a standard noise value, and the difference between the total noise value and the noise peak value to be larger than a standard difference value; if the first target frequency exists, the target equipment is controlled to operate at the first target frequency; if the first target frequency does not exist, a second target frequency corresponding to the lowest noise frequency in the target stage of the adjustment process is determined; and the target equipment is controlled to operate at the second target frequency. By the adoption of the technical scheme, noise can be processed according to the actual use condition in the use process of a user, and the noise is effectively reduced on the premise that comfort and power saving are guaranteed.

A receiver circuit having an optical reception device and having an amplifier connected to the reception device, the amplifier also having a circuit for setting the operating point of the amplifier and also at least one control terminal of the circuit, by which the operating point of the amplifier can be selectively changed between at least two values at the user end. The receiver circuit according to the invention enables a noise optimization of the amplifier by virtue of an adjustability of the operating point of the amplifier.

The invention relates to a noise zoning model based city floor area ratio optimization method. The method includes: recording city space shape data in a target zone; establishing a sound source instant acquisition database; connecting the sound source instant acquisition database and a geographic information module; partitioning a noise zone into four types of zones; establishing a city noise zoning model; establishing a floor area ratio optimization module; performing noise simulation on the target zone through the zoning model according to a floor area ratio index in the target zone; and comparing simulation noise and noise demands of relevant laws and regulations, and then performing optimization on the floor area ratio. Based on a geographic information system and a city coordinate system, the method combines sound environment data information and a computer database, establishes the city noise zoning model, provides a floor area ratio optimization measurement through noise prediction of the target zone, and optimizes a city sound environment by combining noise control and the space shape design. The method solves the problem of neglect of noise influence during determination of the floor area ratio in the prior art, and the formulation of the floor area ratio is scientific and reasonable; and a method for determining the floor area ratio of city communities based on noise optimization is provided.

The invention discloses an idling noise optimization method, device and equipment and a storage medium. The method comprises the steps: carrying out the shielding disconnection operation of a preset part of a to-be-detected vehicle in a preset testing environment, so as to obtain corresponding target noise; according to the target noise and a preset sound pressure formula, obtaining the noise contribution of each noise of the to-be-detected vehicle under the idling working condition; and determining a noise optimization scheme of the to-be-detected vehicle according to the noise contribution amount, so that main problem points influencing idle noise in the vehicle can be quickly and effectively optimized, the NVH performance of the whole vehicle is improved, and the idle noise of the wholevehicle can be quickly and effectively optimized in a targeted manner.

The invention discloses an underwater acoustic target identifying method based on ship-radiated noise optimization features. The underwater acoustic target identifying method based on ship-radiated noise optimization features includes steps that carrying out angular domain framing operation on ship target training-radiated noise data; extracting spectrum features of the target of ship target-radiated noise data for training and testing; carrying out power transform on the spectrum features to extract optimization features; determining parameters of the stick-breaking prior hidden Markov model of each frame in the ship target-radiated noise data; calculating testing ship target-radiated noise data optimization features and conditional likelihood function values of the stick-breaking prior hidden Markov models corresponding to frames of the ship target-radiated noise data for training; using the class attributes of the frame of the ship target training-radiated noise data corresponding to the maximum conditional likelihood function value as the class attributes of ship target testing-radiated noise data. The underwater acoustic target identifying method based on ship-radiated noise optimization features is used for improving the underwater acoustic target identifying performance.

The invention discloses an in-vehicle low-noise optimization design method and system, and the method comprises the steps of inputting the sound reduction indexes TLi of different regions of a to-be-designed vehicle and the sound power Lwj of sound source equipment into an in-vehicle noise simulation prediction analysis model, and carrying out the in-vehicle noise simulation prediction analysis ofthe to-be-designed vehicle through employing an initial sound reduction index and initial sound power under a preset constraint condition; and iteratively carrying out noise prediction based on the in-vehicle noise simulation prediction analysis model until a noise prediction value Lpsi meeting the minimum in-vehicle noise reduction total cost amount is output, and obtaining design parameters used for constructing different areas of the to-be-designed vehicle and sound source equipment used for predicting the noise prediction value Lpsi to design the vehicle; performing noise prediction through iteration based on an in-vehicle noise simulation prediction analysis model. It is ensured that an unbiased noise prediction value Lpsi is obtained at the lowest in-vehicle noise reduction total cost, and the in-vehicle noise optimization design method is short in period, low in cost and free of deviation. In addition, based on the method, vehicle design does not need to be conducted through subjective experience of personnel, and therefore subjectivity does not exist.

A buffer for use in a logic circuit comprises input and output nodes. A first inverter having a first device size is coupled to the input node. A second inverter is coupled in series with the first inverter and with the output node. The second inverter having a second device size at least six times greater than the first device size. It is emphasized that this abstract is provided to comply with the rules requiring an abstract that will allow a searcher or other reader to quickly ascertain the subject matter of the technical disclosure. It is submitted with the understanding that it will not be used to interpret or limit the scope or meaning of the claims. 37 CFR 1.72(b).

The invention relates to a power battery heating noise optimization method and device so as to reduce the sound pressure level and sharpness of noise in the battery heating process and improve the sound quality of the battery heating noise. The method comprises the following steps: selecting a basic fixed-frequency switching frequency for enabling an IGBT to output pulse current; selecting a frequency bandwidth enabling the amplitude of the pulse current output by the IGBT to be optimal; generating a random variable-frequency switching frequency based on the basic fixed-frequency switching frequency and the frequency bandwidth; outputting the random frequency conversion switching frequency to an IGBT, so the IGBT outputs pulse current according to the random frequency conversion switching frequency, pulse heating is carried out on the power battery, the heating rate of the power battery is the highest, and the noise sound pressure level and noise sharpness generated in the heating process of the power battery both meet preset noise optimization requirements; wherein the frequency value of the random variable-frequency switching frequency is within a frequency range formed by the basic fixed-frequency switching frequency and the target fixed-frequency switching frequency.

The invention provides a low-noise optimization method suitable for geometric parameters of a bionic vane pump. The low-noise optimization method comprises the following steps: determining optimization variables as the pit diameter, the pit flow direction interval and the pit spanwise interval; determining an optimization target as a total sound pressure level; determining a value range of the optimization variable; determining a sample level number, taking the optimization variable as a factor, and making a uniform design table of a factor level; randomly determining a test sample according to the uniform design table; carrying out numerical simulation and acoustic calculation according to the test sample, and determining the pit arrangement position; establishing a sample database according to the uniform design table to obtain a prediction model; and performing optimization solution by using a particle swarm optimization algorithm based on the neural network prediction model, takingthe total sound pressure level value as a fitness value, and performing calculation to obtain a value of an optimization variable when the total sound pressure level is minimum. According to the method, reasonable optimization variables can be obtained, an appropriate value range determination method is provided, and application of a modern optimization algorithm in the bionic vane pump is achieved.

The invention discloses an aircraft noise optimization method of continuous descending approaching based on an ant colony algorithm. The method comprises steps of firstly selecting noise sensitive points and coarsely selecting a noise optimal CDA basic approaching program; then, based on a PBN approaching reference program, constructing a continuous descending approaching nominal flight track control module, and carrying out correction; then, determining constraints borne by an aircraft in a continuous descending process and dividing a noise optimization transition space and a noise optimization approaching space so as to obtain selectable four-dimensional CDA flight track searching libraries corresponding to different aircraft states; and finally, by taking the minimal noise of the aircrafts in the approaching process as a target, establishing an aircraft continuous descending approaching noise optimization model, and listing an optimal descending approaching flight rack corresponding to different types of aircrafts, different operation states and different weather conditions. According to the invention, based on aircraft performance, the initial state and the weather conditions, the flight tracks of the continuous descending approaching of the aircraft are dynamically adjusted and reference is provided for an environmental protection level of the aircraft at a descending stage in a terminal region.

The invention provides a noise assessment and noise optimization method and device for an electric reactor. The noise assessment method for the electric reactor comprises the steps that basic parameter information of each coil in a to-be-measured electric reactor is acquired; according to the basic parameter information, the maximum displacement of each coil is calculated respectively; according to the maximum displacement and the basic parameter information, an effective value of the vibration velocity of each coil is calculated; according to the effective value of the vibration velocity of each coil, the noise level of the to-be-measured electric reactor is evaluated. The noise assessment and noise optimization method and device for the electric reactor have the advantages that the problem that the noise cannot be evaluated in the early design phase of the electric reactor, the assessment method is simple and effective, a basis is provided for performing noise optimization on the electric reactor subsequently, and the noise assessment and noise optimization method and device have guiding significance for noise reduction design of a smoothing reactor.

The invention provides a signal processing method, a device and equipment and a computer readable storage medium. The method comprises the following steps: collecting an audio signal to-be-processed,and extracting spectrum characteristics of the audio signal to be processed, wherein the spectrum characteristics comprises N-dimensional logarithm energy spectrum characteristics; performing callingon a noise optimization model to process the logarithm energy spectrum features, and obtaining M-dimensional noise correction coefficients corresponding to the N-dimensional logarithm energy spectrumfeatures, and wherein N and M are positive integers; and calculating the N-dimensional logarithm energy spectrum feature and the M-dimensional noise correction coefficient to obtain a processed audiosignal. According to the embodiment of the invention, the noise correction coefficient is generated through the noise optimization model, and the noise in the audio signal to be processed is reduced or eliminated through the noise correction coefficient, so that the communication quality is improved.

The invention discloses a visual brain-computer interface method based on field-programmable gate array local noise optimization. The method comprises the following steps: placing an acquisition electrode in a head pillow area to acquire a visual electroencephalogram signal; generating a chessboard stimulation unit with local noise, and storing the chessboard stimulation unit in an internal memoryof the field programmable gate array; displaying the chessboard stimulation unit with the local noise through a field programmable gate array control mode; enabling a user to selectively gaze at anychessboard stimulation unit with local noise, collecting electroencephalogram signals of a visual pillow area of the user to carry out canonical correlation analysis, obtaining the visual stimulationunit corresponding to the maximum value in canonical correlation coefficients corresponding to all frequencies, and judging the visual stimulation unit as an identified target. According to the invention, the display stability of the chessboard visual stimulation unit can be improved, and the requirements of the steady-state visual evoked potential brain-computer interface system on hardware are reduced, so the implementation cost of the brain-computer interface system is reduced, and the recognition accuracy and stability of the steady-state visual evoked potential brain-computer interface can be improved.

The invention discloses a noise optimization method for an engine intake system. The method comprising the following steps: step one, establishing an engine intake system model; step two, simulating the noise state of the engine intake system based on the model; step three, analyzing acoustic field characteristics of the entire intake system by using CAE technology; and step four, optimizing the noise of the engine intake system by calculating, analyzing, reasonably designing and arranging of a noise elimination unit. By virtue of the noise optimization method for the engine intake system, the technical effects of reasonable design, high optimization efficiency and low cost are implemented.

The invention discloses an unmanned aerial vehicle base station communication resource allocation strategy prediction method based on noise optimization. The method comprises the following steps: 1, establishing a network model; 2, acquiring training data; 3, performing training iteration to obtain a network optimization parameter and a noise optimization parameter; 4, obtaining an optimized network model; 5, predicting an unmanned aerial vehicle base station communication resource dynamic allocation strategy. The method is simple in step and reasonable in design, the exploration space of the communication resource allocation strategy can be increased, the accuracy of the optimized network model is improved, and the method effectively adapts to the dynamic state of each user so as to predict and output the reasonable communication resource allocation strategy.

The invention discloses a PSS block cross-correlation detection method, which comprises the following steps: 1, adding a cyclic prefix CP when a local PSS time sequence is generated, and indirectly increasing the sequence length for cross-correlation; 2, improving the detection performance by using incoherent accumulation; 3, after the receiver generates local PSS time sequences, carrying out frequency offset pre-compensation on the local sequences, and therefore coarse frequency offset estimation is achieved; 4, estimating and compensating the residual frequency offset; and 5, optimizing a frequency offset estimation algorithm from two aspects of reducing the influence of a coarse frequency offset estimation error and performing residual frequency offset estimation anti-noise optimization under the condition of a low signal-to-noise ratio. According to the invention, the detection performance and the frequency offset resistance in a low signal-to-noise ratio environment can be improved, and the requirement of 5G downlink synchronization is met.

A vehicle component (100) having an exhaust-gas tailpipe device (1) for an exhaust-gas system of a motor vehicle includes at least one exhaust-gas tailpipe (2) and an exhaust-gas tailpipe trim (3) that, in a crash situation, can be pushed at least in sections onto the exhaust-gas tailpipe (2). The exhaust-gas tailpipe device (1) has at least one shield element (4) that is designed for noise optimization and that is fastened in front of the exhaust-gas tailpipe trim (3) by means of at least one predetermined breaking device (5). Thus, in the crash situation, the shield element (4) can be pushed at least in sections onto the exhaust-gas tailpipe (2).