55 results about "Pulse computation" patented technology

A method of compensating for component errors within a radar altimeter is described. The method includes periodically switching transmit pulses from a transmit antenna to a programmable delay device, calculating an altitude based on a transmit pulse received from the programmable delay device, comparing the calculated altitude to an expected altitude, the expected altitude based on a pre-set delay through the programmable delay device, and compensating an altitude measured by the radar altimeter, based on transmit pulses output through the transmit antenna, by an error correction amount based on a difference between the calculated altitude and expected altitudes.

An adaptive real-time analysis method for dynamic signals generated by rotary machines improves Vold-Kalman filtering order tracing technology to renew the algorithm logic so that on-line computation ability is achieved. Through signal simulation and practical engineering application to verify the availability, it shows that the output results are extremely accurate. As such, this method is advantaged to estimate the time-domain waveform of specific order signals for the operation of the rotary machines and to interpret the related physical phenomena. Moreover, this method can be applied for a digital signal processor (DSP) to obtain real-time and on-line computation of the order signals needed to be traced and to display the tracing time-domain waveform instantly.

The invention discloses a device and a method for error detection under the conditions of small flows of water meters. According to the device, a computer is used for comprehensively controlling a detection process, calculating errors and managing test data; photoelectric sensors are used for converting rotating signals of plum-blossom needles of standard water meters and the tested water meters into electric square wave signals, and outputting the electric square wave signals to an input port of a controller; the controller is used for executing specific control action and data acquisition; a flow control part takes an output signal of a differential pressure flow sensor as a feedback signal of flow control; an error measurement part acquires the output signals of the photoelectric sensors of the standard water meters and the tested water meters; a decimal pulse counting method is adopted for the data acquisition; and acquired data is transmitted to the computer, and the computer calculates error values of the tested water meters according to the test data. By the device and the decimal pulse counting method, time for testing the water meters can be effectively shortened, so that water meter testing efficiency can be greatly improved, and a production bottleneck problem caused by low water meter testing speed in the batch production of the water meters can be solved.

The invention relates to the technical field of pulse identification, and discloses a method and a system for judging an effective relevant peak pulse sequence. The method specifically comprises the following steps of: for the pulse data received each time, respectively calculating the time interval jitter between each two pulses; calculating the time interval between each two pulses of the standard relevant peak according to the position and the tolerance range of the standard relevant peak pulse sequence; comparing and judging whether the actually received pulse is the relevant peak pulse sequence; calculating the time interval jitter between each two pulses according to the received relevant peak pulse sequence; calculating the time interval jitter between each two pulses of the obtained relevant peak pulse sequence according to the received pulse data to compare with the calculated time interval jitter between each two pulses of the actually received pulses, and judging whether the pulse is an effective relevant peak pulse. The method and the system provided by the invention are used in an identification friend or foe system, and can accurately identify the relevant peak of the message, so that the following message identification content can be more accurate, and the speed can be higher.

Embodiments of the present disclosure provide an estimation apparatus and method for nonlinear distortion and a receiver. The estimation method for nonlinear distortion includes: sampling a band-limited analog signal to obtain a sampling sequence; calculating a nonlinear perturbation coefficient in nonlinear distortion estimation based on a Nyquist pulse; calculating a nonlinear perturbation term superimposed on a signal by using the nonlinear perturbation coefficient and the sampling sequence; and calculating a nonlinear distortion waveform by using the nonlinear perturbation term. With the embodiments of the present disclosure, not only any modulation formats are compatible, but also advantages of high precision and good adaptability may be achieved.

A pulse radar includes pulse generation circuitry that generates a transmission pulse signal, radio frequency transmission circuitry that transmits a radio frequency signal obtained by performing a frequency conversion on the transmission pulse signal, radio frequency reception circuitry that converts a reflected-wave signal to a reception pulse signal, the reflected-wave signal being a part of the radio frequency signal reflected back from an object to be measured and received via a reception antenna, signal processing circuitry that calculates a distance between the object and the pulse radar, detection circuitry that detects a main pulse, and correction filter coefficient calculation circuitry that calculates an amount of delay and a phase difference of the one or more error pulses with reference to the main pulse to update a parameter of the correction filter circuitry. The correction filter circuitry updates a filter characteristic using the updated parameter.

A passive sound telemetry system and method is provided, in which phase differences are calculated for every pulse from acoustic signals received via three or six acoustic receivers, to measure a distance and angle with respect to a sound source. The system is applied to an operating toy giving chase to a user while following the user command. The telemetry system includes first to fourth acoustic receivers (111–114) contained in the housing for receiving first to fourth acoustic signals from a user, first to fourth zero crossing detectors for generating first to fourth pulse signals based on the first to fourth acoustic signals, earliest reception signal detector for detecting a pulse signal having the earliest phase among the first to fourth pulse signals, first to fourth arrival time difference calculator (70) for calculating arrival time differences between the pulse signal of the earliest phase and the first to fourth pulse signals, respectively, thereby obtaining an angle and a distance between the center of acoustic receivers and the user, based on a time difference between the second and third minimum arrival time difference values.

System and method for correlation testing of SLMs using stroboscopic methods. A preferred embodiment comprises providing a test pattern to the SLM, configuring a pulsed light source to emit a short duration light pulse at a specified time, instructing the SLM to display the test pattern, emitting the short duration light pulse at the specified time, computing a correlation image based upon light reflected by the SLM, and determining the SLM's performance based upon the correlation image. The pulse of light permits the testing of dynamic and static characteristics of the SLM, while the use of optical computational units in the computation of the correlation image greatly reduces computational requirements and testing time.

An emulator for modeling a network of K transmitters, L receivers, and M multipath components using a product distribution modeling system. The emulator determines for each of MLK paths defined between the transmitters and receivers respective delay, loss, and fading components. The fading component (e.g., attenuation-based, multipath, or both) is determined by calculating a weight value of a time-varying random variable type for each input impulse associated with the K transmitters and for each output impulse associated with the L receivers (including multipath). The modeling subsystem determines a signal propagation value for a modeled communication channel among the MLK paths by combining the delay component, the loss component, and the respective weight values of the input and output impulses associated with the modeled communication channel. The testing subsystem uses the signal propagation value to emulate the modeled communication channel using one or more computer processors.

The invention relates to a high-reliability adaptive sampling circuit for key phase pulses, and belongs to the technical field of power system real-time measurement. The high-reliability adaptive sampling circuit for the key phase pulses comprises a first A/D sampling module, an amplitude attenuation module, a comparison module and a processor, wherein the first A/D sampling module is connected with the processor, the amplitude attenuation module is connected with the processor through the comparison module, the processor is used for calculating an amplitude attenuation coefficient and a comparison threshold according to a key phase pulse collected by the first A/D sampling module, the amplitude attenuation module is used for receiving the attenuation coefficient transmitted by the processor and attenuating the amplitude of the key phase pulse according to the attenuation coefficient, and the comparison module is used for comparing the comparison threshold fed back by the processor with the amplitude attenuated key phase pulse and outputting a level signal capable of being directly collected by the processor. The adaptive sampling circuit can adapt to diversified pulses in the field, reduce the labor consumption and improve the intelligent degree; and meanwhile, the adaptive sampling circuit can performs self-checking on the threshold reference voltage of a comparator timely, thereby improving the reliability of the system.

The invention relates to a fusion spiking neural network information processing method and a fusion spiking neural network, and the method comprises the steps of receiving a configuration instruction, and reading the types of spiking neural networks needing to be configured in the configuration instruction, the types of the spiking neural networks comprising a general spiking neural network and a specific spiking neural network; dividing an address space of a memory according to the type of the spiking neural network, and writing configuration information into a register; and reading the configuration information, selecting the corresponding control unit to call the pulse calculation unit to perform pulse calculation based on the configuration information, and storing a pulse calculation result in the memory. Compared with the prior art, the invention has the advantages that the defects that a general spiking neural network is large in connection storage area and a specific spiking neural network is low in universality are overcome, meanwhile, the number of transistors of a chip can be reduced, the size of the chip is reduced, and the efficiency of the chip is improved under the condition that the number of the transistors is the same.

The invention provides an intelligent electric-meter remote meter reading system. The intelligent electric-meter remote meter reading system mainly comprises a CPU (central processing unit), direct-current voltage, a display module, a clock module, a peripheral storage module, a communication interface circuit, a power supply, an RS485 interface, a network access device and a pulse acquisition counting module. The operation process includes the steps of 1), the pulse acquisition counting module calculating data of an electric meter according to pulse and storing the data in an internal RAM (random-access memory); S), time setting, namely transmitting data transfer commands timely to the pulse counting module, collecting the data in the electric meter, storing the data in the peripheral storage module, waiting query of an upper computer, recording numbers, with no responses, of terminals, and uploading the numbers to the upper computer; 3), making backups on the terminals with no responses under two modes and warning, wherein in operation of the upper computer, two modes include timely carbon copy and random carbon copy.

The embodiment of the invention provides a circular synthetic aperture radar self-focusing imaging method and system and electronic equipment. The method comprises the following steps: dividing an imaging region into a plurality of rectangular regions; for each of the plurality of rectangular regions, calculating a projection matrix for each pulse; performing image offset compensation on the projection matrix; performing phase error estimation and phase error compensation on the projection matrix after image offset compensation; and on the basis of the projection matrix after phase error compensation, obtaining a full-scene image of the imaging area through splicing. According to the invention, the envelope error and the phase error are compensated at the same time, the SAR imaging precision is improved, meanwhile, the imaging area is subjected to block processing, the influence of phase error space-variant characteristics on SAR imaging is reduced, and the requirement of SAR imaging for the storage space is lowered.

The invention discloses a modeling method for a three-phase inverter real-time simulation model, and the method comprises the steps: employing a quadratic function to fit an external characteristic curve of an IGBT switching operation process for the switching-on and switching-off processes of an IGBT; constructing a single IGBT switch model by a lookup table module of MATLAB/simulink, constructing a calculation model of a three-phase inverter IGBT switch bridge arm by utilizing a finite-state machine, and calculating an output phase voltage according to a control pulse; and importing the established model into an FPGA to construct a three-phase inverter real-time simulation model. The method has the advantages of being high in modeling precision, small in online calculation amount, clearin state conversion and control logic and the like, the built model can be directly transplanted to FPGA hardware, and the three-phase inverter real-time simulation system can be quickly built with low cost.

The blind estimation method for the code element rate and the code element conversion time of the digital modulation signal, disclosed by the invention, is high in applicability, high in robustness and high in anti-noise capability. According to the technical scheme, the method comprises the following steps of: firstly, constructing data in an observation time length into an M*N Hankel data matrix, and performing singular value decomposition on the matrix after partitioning the matrix; then, taking a first left singular vector envelope, a second left singular vector envelope and a third left singular vector envelope, carrying out FFT, adding frequency spectrums of the three obtained singular vector envelopes, and detecting a frequency corresponding to a maximum spectrum value of the sum of the three frequency spectrums at a non-zero frequency as a code element rate; then, generating detection pulses according to the estimated code element rate, calculating the dot product sum of the detection pulses with different delay amounts and the second singular vector envelope subjected to smoothing filtering, and selecting a correct code element conversion time by utilizing the singular value capability distribution difference between a code element truncation data matrix and other forms of data matrixes with the same dimension, and obtaining the optimal sampling time by delaying the sampling point of the chip by one half at the code element conversion time.