29 results about "Frequency profile" patented technology

The underwater fish-luring device is configured for use in attracting fish by mimicking a sound that lobsters naturally produce. The underwater fish-luring device is an acoustic device. The underwater fish-luring device generates acoustic energy that can be detected underwater. The frequency profile of the generated acoustic energy attracts the lobster towards the underwater fish-luring device. The underwater fish-luring device comprises a plurality of levers, a torsion spring, and an acoustic generator. The torsion spring and the acoustic generator attach to the plurality of levers.

The application discloses a space-time-frequency wave number domain synchronous extrusion superimposed dense channel reservoir characterization method, which comprises the following steps: S1, inputting original seismic data s(t, x) to be analyzed, wherein x is the number of channels, and t is time; S2, obtaining short-time Fourier transform V2(t, x, omega, k) of the signal by using a Gaussian window function g(t, x), wherein omega is frequency, and k is wave number; S3, calculating an instantaneous frequency and an instantaneous wave number estimation of the signal according to S2; S4, defining an extrusion operator TDSTO according to S3; S5, constructing a space-time-frequency wave number domain synchronous extrusion transform characterization method TDSST(t, omega, x, k) according to the extrusion principle; S6, fixing the wave number by maximizing the energy of TDSST, so as to obtain a TDSST time-space-frequency domain three-dimensional data body TDSST(t, x, omega, k(t, x, omega)); and S7, performing feature extraction of frequency f0 in S6, so as to obtain a single-frequency profile to characterize the morphological structure characteristics of a complex superimposed dense channel sandstone reservoir. The application can provide a space-time reservoir morphological characterization method considering the lateral characteristics of a complex superimposed dense channel sandstone.

The application discloses a base stretching and frequency modulation synchronization extraction seismic reservoir prediction method, which comprises the following steps: S1, inputting original two-dimensional seismic profile signal s(x;t) to be analyzed; S2, decomposing the original two-dimensional seismic profile signal s(x;t) by using base stretching adaptive frequency modulation transformation (SBCT) to obtain time-frequency transformation result SBCT(x;f,t); S3, estimating the instantaneous frequency of the xth seismic signal at each time-frequency position according to the time-frequency transformation result SBCT(x;f,t); S4, constructing a synchronization extraction operator with the instantaneous frequency of the signal as the curve center on the time-frequency domain according to the synchronization extraction principle, and using the synchronization extraction operator to extract the original time-frequency spectrum energy to the curve to obtain new time-frequency coefficients and eliminate the ambiguous time-frequency energy; S5, taking the modulus of the time-frequency coefficients to obtain the time-frequency spectrum after base stretching and frequency modulation synchronization extraction transformation; and S6, calculating the main frequency range of the original seismic signal by using Fourier transformation to determine the high-frequency value and the low-frequency value, extracting the spectrum corresponding to the high-frequency value and the low-frequency value from the time-frequency spectrum obtained in S5 to obtain two common frequency profiles, and determining whether the reservoir exists in the seismic profile by comparing the attenuation of the seismic signals in the two common frequency profiles. The application can significantly improve the time-frequency energy focusing property and improve the identification precision of the seismic reservoir.

The invention belongs to the technical field of frequency converters, and particularly relates to a high-efficiency intelligent frequency converter and a control method thereof.The frequency converter comprises a control module, a data acquisition module, a feedback module and a frequency output module, by comparing the operation parameters of the load end at the current moment with the output frequency of the frequency converter at the current moment, the prediction accuracy of the currently used output frequency curve is judged, the adjustment mechanism of the output frequency is dynamically optimized by combining historical data and real-time load requirements, the quick response to the load change is ensured, and the efficiency is improved. The reaction time of the system is further shortened, and the modulation stability and the capability of adapting to complex working conditions are improved.

The invention discloses a micro-motion frequency extraction method based on a micro-Doppler time-frequency contour and a power sequence, and belongs to the field of laser application optics and signal processing. The method comprises the following steps: acquiring a micro-Doppler time-frequency spectrum of a nutation cone; based on a nutation cone dynamic model and a micro-Doppler frequency analysis formula of vertex and bottom surface edge scattering points, judging the formation condition of upper and lower outer envelope contour lines of a time-frequency spectrum; if the contour line is completely composed of bottom surface edge scattering points, extracting an upper outer envelope contour line and a lower outer envelope contour line of the time-frequency spectrum, adding and averaging the upper outer envelope contour line and the lower outer envelope contour line, and performing FFT (Fast Fourier Transform) on an average curve to obtain four frequency spectrums of precession frequency, swinging frequency, swinging frequency + precession frequency and swinging frequency-precession frequency of the nutation cone; and if the contour line is formed by alternating peaks and bottom surface edge scattering points, calculating the power of each frame of discrete time domain intermediate frequency signal of the time-frequency spectrum, obtaining a sequence of power changing along with time, and performing FFT (Fast Fourier Transform) on the sequence to obtain the four frequency spectrums as well. The method is used for precession and swing frequency extraction.

The audio device includes a receiver 201 that receives airflow audio frequency profile data showing the dependence of the airflow audio frequency profile on airflow velocity parameters. A frequency response generator 205 determines the airflow frequency response depending on the airflow audio frequency profile data, user pause characteristics, and airflow velocity characteristics of the airflow. An audio component generator 207 generates airflow audio signal components by filtering a first audio signal using the airflow frequency response. An output unit 211 generates an audio signal containing the airflow audio signal components. This approach improves the rendering of airflow sounds, such as a more realistic rendering of wind noise.

Video game audio output is modified by obtaining a hearing loss frequency profile (eg. an audiogram) associated with a user, determining a loudness level for each frequency band of the audio output an

Digital radio transmitters and data transmission methods are provided. Chirp-based spread spectrum digital radio transmitters are configured to suppress or attenuate discontinuities in the chirp frequency profile by an interpolation or smoothing procedure. The interpolation significantly reduces out-of-band emissions and does not affect demodulation and decoding. In the case of LoRa communications, the transmitter of the invention has low constellation error and can communicate with conventional unmodified receivers. The procedure does not introduce unwanted phase shifts and can be used to control the phase of the signal, also inserting arbitrary phase shifts on consecutive segments of the chirp.

The invention relates to a system for the reproducible application of temporary surface cleaning or functional coatings by spraying through one or more pneumatic two-fluid nozzles with nozzle bodies which are connected to at least one reservoir, wherein the reservoir is filled or fillable with sprayable surface cleaning or functional coating fluid and furthermore with a pressurized gas, in particular a compressed air source, which can be connected to the respective two-fluid nozzle in order to convey the surface cleaning or functional coating fluid according to the principle of a jet pump or injector nozzle, also with Laval effect, and to apply it by spraying onto a surface to be treated, in particular the surface of an edge of a piece of furniture, wherein the respective two-fluid nozzle is designed as a minimum quantity nozzle valve with an actuating device in the nozzle body. A device for determining the acoustic sound level spectrum generated during the spraying process is provided directly on or in the nozzle body, wherein the acoustic spectrum is recorded with respect to the frequency profile of the sound level and supplied to a connected computing unit.

The present invention discloses a method for identifying gas-bearing properties of reservoirs based on frequency-domain basis-stretched Chirplet transform, comprising the following steps: S1, sequentially extracting single-channel seismic data; S2, performing Fourier transform on each signal extracted in S1 to obtain a corresponding frequency-domain seismic signal; S3, constructing a kernel phase function for matching complex signals; S4, windowing the frequency-domain seismic signal in S2 based on the kernel phase function in S3 to obtain a frequency-domain basis-stretched Chirplet transform result corresponding to each data channel; S5, calculating the dominant frequency range of the wellbore signal of the seismic profile to be measured using Fourier transform, and selecting high and low frequencies based on this; extracting low-frequency and high-frequency profiles from the result in S4, and identifying gas-bearing properties of the reservoir by comparing the attenuation characteristics of the high-frequency and low-frequency profiles. The present invention uses a frequency-domain basis-stretched Chirplet transform method to process seismic data, which can significantly improve time-frequency focusing and provide a reliable basis for identifying gas-bearing properties of reservoirs.

The invention discloses a method for determining the resonant frequency of a surface acoustic wave temperature sensor, and the method comprises the following steps: selecting a plurality of different frequency points in a working frequency range of the surface acoustic wave temperature sensor to transmit excitation signals, and obtaining difference frequency signals processed by a circuit, the difference frequency signal frequency value is the difference value between the excitation signal frequency value and the resonant frequency at the current temperature; screening the difference frequency signal, and reserving a signal with high and stable signal strength as a screened difference frequency signal; independently calculating the screened difference frequency signals to respectively obtain corresponding resonant frequencies at the current temperature; and averaging the resonant frequency, wherein the average value is the target resonant frequency at the current temperature. According to the resonant frequency obtained by the method and the device, the randomness and instability of measurement of a single frequency point are avoided, the influence of unstable signals and weak signals is eliminated, and the stability of the target resonant frequency is improved.

A method and system generate personalized therapeutic protocols adapted to a user's physiological state. Biomarkers derived from ECG data are used to identify priorities and resources, then select and combine elements from libraries of over four thousand custom voice recordings, ten thousand audio frequency components, ten thousand micro-current frequency profiles, visual elements and textual information. Protocols adapt daily via biofeedback, incorporating guided sessions or frequency-only harmonic boosts, with sound techniques (binaural beats, noises) and optional professional / AI customization over a 21-day cycle for coherence restoration.

The application discloses a kind of bionic concealed underwater acoustic communication detection integrated method.Existing method does not consider the concealment of communication and detection jointly.The method of the present application first extracts click sound signal and whistle signal, and carries out power and correlation screening;Then the original click sound signal is waveform encoded and pulse position modulated, and the original whistle signal is time-frequency shape encoded and waveform parameter modulated.Using the good detection performance of bionic modulated signal, generate bionic communication detection integrated signal.In echo signal receiving end, different echo signal processing method is used.In communication receiving end, combined demodulation method is used.The bionic whistle signal generated by the present application has high similarity with the original signal in time domain, and the time-frequency profile is continuous.The present application can improve the communication rate by sampling combined modulation, has good concealment, not only can realize the accurate estimation of target distance, speed and azimuth, but also has good communication performance.

The invention discloses a fast demodulation device based on a BOTDR system. The device comprises a photoelectric detector, a low noise amplifier, a splitter, a first mixer, a second mixer, a first filter, a second filter, a first data acquisition system, a second data acquisition system, a phase deviation module, a local oscillator and a signal processing module. According to the invention, the frequency mixer, the filter and the data acquisition module are arranged to avoid the situation that a traditional local oscillator scanning method needs measurement at N different frequency points to obtain a frequency contour, and the demodulation speed is improved.

This invention discloses a camouflage and covert communication method and apparatus based on time-frequency profile curves, comprising: collecting real vocal samples of biomimetic objects; performing endpoint detection based on the short-time energy principle to extract time-domain vocal pulse signals; obtaining time-frequency profile curves and performing smoothing operations; and calculating the maximum slope k of the time-frequency profile curves corresponding to each time-domain vocal pulse signal. max The method involves determining the number of extreme points (n) and grouping all time-domain vocal pulse signals into hierarchical groups. The pulse group number to be encoded is determined based on the communication information to be transmitted. The determined pulse group number is then used to encode the communication information into a communication pulse sequence. This sequence is transmitted through a transducer, and the receiving device filters and decodes the received signal to obtain the complete communication information. This method utilizes animal vocalizations from nature as a communication carrier, improving both communication security and speed.

A method for equalizing an audio frequency signal broadcast in a broadcasting environment. Such a method includes: estimating a frequency profile of a noise signal representing a background noise present in the broadcasting environment, based on, on the one hand, a signal captured by at least one microphone implemented in the broadcasting environment and, on the other hand, the audio frequency signal; determining a desired frequency profile for the broadcast audio frequency signal; determining an acoustic frequency mask representing, for each frequency component, a difference between the frequency profile of the noise signal and the desired frequency profile; and equalizing the audio frequency signal via a weighting of a spectrum of the audio frequency signal by applying a frequency weighting mask that is a function of the acoustic frequency mask, delivering the equalized audio frequency signal.

A chirp-based spread spectrum digital radio transmitter configured to suppress or attenuate discontinuities in the chirp frequency profile with an interpolation or smoothing procedure. The interpolation reduces significantly out-of-band emissions and does not affect the demodulation and decoding. In the case of a LoRa communication, the inventive transmitter has low constellation error and can communicate with legacy unmodified receivers. The process does not introduce unwanted phase shifts and can be used to control the signal's phase, also on continuous segments of the chirp to insert an arbitrary phase shift.

The present invention relates to a method for imbalance detection in a motor vehicle, in which a passive, semi-active, or active suspension is arranged in the motor vehicle, in which a sensor signal (311) is continuously transformed into an FT frequency profile (313) by means of a Fourier transform (312) during driving operation, in which the presence of a wheel imbalance is identified by the occurrence of a frequency anomaly in the FT frequency profile beyond a body natural frequency and / or a respective wheel natural frequency and proportional to a current driving speed (321), in which, in the case of identification (342) of the wheel imbalance, an error message is stored in the control unit if an anomaly threshold is exceeded and a critical danger threshold of the frequency anomaly is simultaneously undershot.However, if a critical hazard threshold is exceeded, the driver is prompted to visit a workshop, and in the case of semi-active suspension, the valve current is predictively adjusted according to an expected imbalance, or in the case of active suspension, the valve current is predictively and proactively adjusted according to the expected imbalance. Furthermore, a device is presented.

The application discloses a method for characterizing the spatial and temporal consistency of a tight sandstone reservoir, comprising the following steps: (1) inputting seismic data s(t, x), wherein t is time and x is the number of channels; (2) constructing a kernel function ker(t, x, f, theta) varying with strata, wherein f is frequency and theta is a strata dip angle introduced; (3) setting a strata dip angle discrete sequence {theta k} k＝1,2,…,N , N is the number of discrete points; (4) calculating the spatial and temporal consistency short-time Fourier transform V k (t, f, x, theta s ) under each theta k ; (5) determining the optimal strata dip angle (6) obtaining the time-frequency-space characterization result of the spatial and temporal consistency optV s (t, f, x); (7) performing feature extraction at a frequency f0 to obtain a single-frequency profile optV s (t, f0, x). The application introduces a strata dip angle parameter and constructs a kernel function varying with strata on the basis of a short-time Fourier transform (or other equivalent transform and improved time-frequency transform method), can better utilize seismic data to characterize the spatial distribution characteristics of a tight sandstone reservoir and has good noise robustness.

The application discloses a base stretching frequency modulation synchronous extrusion seismic reservoir prediction method, which comprises the following steps: S1, inputting original two-dimensional seismic profile signal s(x;t) to be analyzed; S2, decomposing the original two-dimensional seismic profile signal s(x;t) by using base stretching adaptive frequency modulation transformation to obtain time-frequency transformation result SBCT(x;f,t); S3, estimating the instantaneous frequency of the xth seismic signal at each time-frequency position according to the time-frequency transformation result SBCT(x;t,f); S4, constructing a synchronous extrusion operator with the signal instantaneous frequency as the curve center on the time-frequency domain according to the synchronous extrusion principle, which is used for extruding the original time-frequency spectrum energy to the curve to obtain new time-frequency coefficients; S5, taking the modulus of the time-frequency coefficients to obtain the time-frequency spectrum after base stretching frequency modulation synchronous extrusion transformation; S6, calculating the main frequency range of the original seismic signal by using Fourier transformation to determine the high-frequency value and the low-frequency value; extracting the spectrum corresponding to the high-frequency value and the low-frequency value from the time-frequency spectrum obtained in S5 to obtain two common frequency profiles; and finally, determining whether the reservoir exists in the seismic profile by comparing the attenuation of the seismic signals in the two common frequency profiles. The application can significantly improve the time-frequency energy focusing property and improve the identification precision of the seismic reservoir.

The application discloses a two-dimensional transient extraction complex superimposed dense channel reservoir characterization method, which comprises the following steps: S1, inputting a two-dimensional seismic profile d(t, x), wherein t is time and x is trace number; S2, performing short-time Fourier transform S(t, omega, x, k) on the seismic profile by using a two-dimensional Gaussian window function, wherein omega is frequency and k is wave number; S3, obtaining group delay t0(t, omega, x, k) in time and group delay x0(t, omega, x, k) in space by respectively taking partial derivatives of S(t, omega, x, k) with respect to frequency and wave number; S4, obtaining a two-dimensional extraction operator TDTEO(t, omega, x, k); S5, further obtaining a two-dimensional transient extraction transform TDTET(t, omega, x, k) of seismic data; S6, determining the wave number by energy maximization, obtaining a time-frequency-space domain three-dimensional data body TDTET(t, omega, x, k(t, x, omega)), and obtaining corresponding single-frequency profiles according to required frequencies to perform morphology characterization on the single-frequency profiles. The application can improve energy focusing, effectively eliminate interference phenomenon and be better applied to complex superimposed dense channel characterization.

The invention belongs to the technical field of intelligent control, and discloses a big and small brain AI visual fusion control method and system of an intelligent body. The method comprises the following steps: collecting and analyzing multi-modal data of an agent with a body, extracting dominant frequency of each modal, analyzing to obtain a dangerous frequency set, performing harmonic decomposition on each frequency, and constructing a complete frequency profile; by taking the dangerous frequency set and the complete frequency profile as constraints, optimizing visual acquisition parameters of the intelligent agent, and generating a cognitive flow parameter set and a reflected flow parameter set at the same time; according to the cognitive flow parameter set and the reflected flow parameter set, large and small brain dual paths are constructed, and threat scores and abnormal regions are obtained through analysis; the activity intensity of the abnormal area is analyzed, when the activity intensity is larger than an intensity threshold value, a reflection threat map is constructed according to the threat score and the abnormal area, the reflection threat map is analyzed, and the real-time obstacle avoidance direction and the obstacle avoidance speed are calculated; according to the invention, the sensing reliability and the obstacle avoidance safety of the body intelligent agent to the dangerous rotating machine in the high-risk scene are obviously improved.

An embodiment of the present invention relates to a method for identifying the installation error of a large gear. By utilizing the multi-axis interpolation motion function of a numerical control machine tool, an original data set is obtained by measuring any complete circumferential profile on the gear with an axis of rotation as the axis through a scanning probe; a low-frequency profile scanning data set is obtained from the original data set, and the low-frequency profile scanning data set is combined with the theoretical radius of the measured circle and plotted in polar coordinates, and the theoretically circular section becomes an ellipse in the polar coordinate system; the points in the polar coordinates are converted into the Cartesian coordinate system to obtain the center coordinates of the ellipse, and the vector connecting the center coordinate point and the origin of the Cartesian coordinate system reflects the magnitude and phase of the geometric installation error; the minor axis of the ellipse is the yaw axis, and the yaw angle can be deduced according to the ratio of the minor axis to the major axis. The present invention can simultaneously judge the geometric eccentricity and phase of the gear, the end face yaw angle and direction, and is used to guide the correction of the installation error, thereby providing conditions for accurate detection.

The application provides a ground snow identification method based on FY3G satellite precipitation measurement radar, comprising: performing equiangular cylindrical projection, bilinear interpolation and Kriging filling operation on L1 level pretreatment data and L2 level product data of the radar to obtain equi- latitude and longitude projection data; filtering the vertical profile of the radar reflectivity factor of the equi- latitude and longitude projection data based on three-factor threshold value, then performing spatial registration and three spline interpolation double-frequency profile data calculation to obtain a double-frequency ratio profile; then calculating the snowfall index according to the slope of the double-frequency ratio profile calculated by a regression algorithm and according to the maximum reflectivity on the profile and the storm top height, so as to identify the snowfall of the screened calibration area. The method realizes effective identification of large-scale ground snowfall by combining the L1 level pretreatment data and the L2 level product data of the radar with data threshold filtering and factor discrimination technology, and improves the spatial coverage and accuracy of snowfall identification.

The invention discloses a mobility attribute extraction method and device based on W transformation, and the method comprises the steps: obtaining seismic data of a to-be-extracted mobility attribute, and setting time window parameters of a time window, the time window parameters comprising the center time, the standard deviation and the scalar factor of the time window; determining a first W transformation formula based on the seismic data of which the mobility attribute is to be extracted and the center time of the time window; optimizing the first W transformation formula based on the standard deviation and the scalar factor to obtain a second W transformation formula; determining a target frequency of the seismic data of which the mobility attribute is to be extracted, and inputting the target frequency into a second W transformation formula to obtain a time-frequency analysis result of the seismic data of which the mobility attribute is to be extracted; according to the method, the co-frequency profile is obtained based on the time-frequency analysis result, the co-frequency profile is used as the mobility attribute of the seismic data of which the mobility attribute is to be extracted, and the time-frequency analysis result obtained based on W transformation is closer to low frequency, so that the resolution of the mobility attribute extraction result is improved, and the thin reservoir is better identified.

Procedures, methods, architectures, apparatuses, systems, devices, and computer program products for a wireless transmit / receive unit (WTRU) to receive configuration information associated with Micro-Doppler signature measurement. The WTRU may receive one or more reference signals (RSs) over a plurality of paths. The WTRU may measure, during a time window, a RS metric for the received one or more RSs using the indicated beam identifiers. The WTRU may determine a ARS-metric frequency profile from a frequency domain transform of the measurements of the RS metric. The WTRU may determine a reference profile from the set of the reference profiles which is a closest match to the ARS-metric frequency profile. The WTRU may send reporting information indicating any of the determined reference profile, the ARS-metric frequency profile, and / or a confidence interval associated with the determined reference profile and the ARS-metric frequency profile.

The invention relates to a power system off-line inertia identification method and device based on a frequency response model, and the method comprises the steps: obtaining a frequency response curve of a power system; identifying a frequency curve by using a pre-constructed frequency response model and the frequency response curve; and obtaining the frequency change rate of the system at the disturbance occurrence moment of the power system according to the frequency curve so as to calculate the off-line inertia of the power system. According to the embodiment of the invention, by establishing the frequency response model considering the synchronous generator, the new energy, the load and other equipment, on the basis of the dynamic synchronous phasor algorithm, the influence of the measurement noise on the inertia evaluation is effectively reduced, a new theoretical basis and a technical means are provided for the system node inertia evaluation, and the system node inertia evaluation efficiency is improved. Furthermore, the method is expanded to a multi-machine system, a beneficial reference is provided for research in the field of inertia evaluation of the power system, and a theoretical support and a technical means are provided for improving the operation reliability of the power system.

Video game audio output is modified by obtaining a hearing loss frequency profile (eg. an audiogram) associated with a user, determining a loudness level for each frequency band of the audio output an

A fluid pump for pumping fluid between a fluid inlet and a fluid outlet has a chamber with an inlet and an outlet. At least one flow restriction element is provided at a flow line portion and is configured to resonate along a continuum of states between a first end state and a second end state, thereby exerting an influence on the fluid flow profile through the inlet or the outlet. At resonance, the element transitions through a range of states, each of which allows a different flow. The transition is through a range of states with different allowed flows. A driver is configured to modulate conditions in the chamber or on the at least one flow restriction element with a characteristic frequency profile, thereby causing the at least one flow restriction element to resonate between the first state and the second state at about the characteristic frequency profile.