200 results about "Wave parameter" patented technology

The invention belongs to a marine monitoring system device, particularly relates to marine environment monitoring, wave measurement, signal and information processing, communication and information systems, radar technology and GPS technology, discloses a three-dimensional real-time monitoring system for offshore wave parameters, and provides a necessary means and reliable guarantee for reducing noise interference and monitoring offshore wave parameters. The invention adopts the technical scheme that the three-dimensional real-time monitoring system for the offshore wave parameters consists of a wave buoy, a navigation radar, a shore receiving system, a computer and a display, wherein the wave buoy is used for acquiring wave information of a position and emitting the wave information through radio frequency; the wave buoy comprises a GPS sensor wave-measuring unit and an acceleration sensor wave-measuring unit; the shore receiving system is used for receiving the wave information of the wave buoy and transmitting the wave information to the computer; and the computer is used for data processing and numerical analysis. The system is mainly applied to marine monitoring.

A moored buoy floating at the ocean surface and anchored to the seafloor precisely measures acceleration, pitch, roll, and Earth's magnetic flux field of the buoy over a limited sampling period. The system includes: 1) A buoy, 2) A mooring system, 3) An electronic data logger controlling communications between the system and the on-board remote telecommunications system, 4) an embedded computer for data input/output, temporary or permanent data storage, and algorithms to convert the measured time series data into surface ocean wave spectra and quality assurance statistics and encode the results for transfer to the data logger, 5) Sensors include one or three acceleration sensors, three orthogonal angular rate sensors, and three orthogonal magnetometers to measure the Earth's magnetic flux field, 6) A telecommunications system that links the buoy data logger and a shoreside processing system, and 7) A shoreside processing system that decodes the transmitted data, performs, quality control, and computes derived wave parameters.

The invention provides a phase difference measuring method based on improved windowing discrete Fourier transform. The phase difference measuring method includes the first step of collecting two periodic signals to be measured, the second step of analyzing the collected periodic signals to digital signals, the third step of carrying out windowing processing on the digital signals by constructing a 4-step Blackman-Harris window, and carrying out FFT spectral analysis on the signals subjected to windowing processing to obtain signal frequency spectrums, extracting fundamental wave parameters and respectively calculating initial phase angles of the periodic signals to be measured, and the fourth step of correcting phase positions of useful frequency spectrums according to a discrete spectrum correction method so as to calculate the phase differences of the periodic signals to be measured. The phase difference measuring method can effectively solve the problems that a time domain of a DFT algorithm is cut off, the introduced spectrums are revealed, and spectral analysis has bigger errors caused by the picket fence effect, overcomes the defects of spectrum leakage and lower frequency resolution in an interpolation method, improves the frequency resolution, and finally achieves the high-precision measurement of the phase differences.

The invention belongs to the field of wave remote sensing technology, and particularly relates to a method for conducting X wave band navigation radar wave parameter inversion through a band-pass filter based on a novel wave dispersion relation, wherein sea clutter images are obtained through navigation radar so that wave parameter inversion can be conducted. The method comprises the steps that radar image data are collected; radar images are preprocessed; Fourier transform is conducted on an image sequence under a Cartesian coordinate system, so that a three-dimensional wave number frequency image spectrum of the radar images is obtained; wave spectrum information is extracted; wave information inversion is achieved. Influence on the dispersion relation by the ship speed is kept by the filter, the problem that the band pass of a traditional broadband-pass filter is increased along with increase of the movement speed is effectively solved, and therefore filtering can be conducted under the condition that a radar platform is moved along with movement of a ship. In band pass boundary derivation of the novel filter, an approximate value of any quantity is avoided, calculation errors are reduced, influence on the band pass boundary is avoided, band width calculation is more accurate, and wave inversion accuracy is improved.

The invention relates to a navigation X-waveband radar ocean wave parameter inversion algorithm based on EOF decomposition. The method comprises the following steps: first of all, carrying out EOF decomposition on a navigation X-waveband radar image sequence to obtain different modalities; then by use of a Burg algorithm, obtaining a maximum entropy power spectrum of the main component of a first modality, and according to a spectrum peak value, obtaining a period and a wavelength of ocean waves; by use of a linear relation between a standard deviation of the main component of a modality and an effective wave height, obtaining an effective wave height of the ocean waves; by use of a space function of the first modality and the main component of the first modality, reconstructing a radar image sequence of the first modality of an ocean wave field, performing two-dimensional Fourier transformation on any one image in the sequence, and according to an obtained wave-number spectrum peak value, determining a simulation wave direction; and by use of wave stripe similarities in two adjacent radar images, determining an ocean wave direction. According to the invention, by use of an EOF, the ocean wave field is decomposed into the different modalities, and the wave height, the period, the wavelength and the wave direction of the ocean waves are extracted from major modalities, such that the problem of influences caused by inhomogeneity of the wave field and large noise in case of a low ocean condition is solved.

The invention relates to a GPS buoy wave measuring method and a wave measuring system, wherein GPS satellite signals are received from a plurality of GPS satellites by using a GPS receiver on a single-point GPS wave measuring buoy, carrier frequency variables of the GPS satellite signals are measured based on a Doppler principle, the movement speed of the buoy is calculated, and thus a sea wave spectrum and wave parameters are calculated. The wave measuring method comprises the following steps of GPS satellite signal acquisition, GPS carrier frequency variable extraction, buoy movement speed calculation, and sea wave spectrum and wave parameter calculation. The wave measuring system comprises a sea surface GPS buoy device, and a computer terminal device. The GPS buoy device comprises an antenna, a solar energy plate, a battery, and an acquisition processor. The acquisition processor comprises a GPS reception communication module and a microprocessor. The wave measuring method of the invention is simple, and the wave measuring system is convenient for installation and maintenance; the method and the system have very wide application prospects.

The invention discloses a simulation method of a bistatic synthetic aperture radar sea wave direction spectrum, which comprises the following steps of calculating a JONSWAP sea wave spectrum and a sea wave vertical displacement according to sea wave parameters; obtaining BiSAR echo signals comprising sea wave orbital velocity and accelerated velocity according to a radar wave modulation principle and BiSAR system parameters; carrying the matched filtering on the echo signals according to a BiSAR distance and Doppler imaging algorithm to obtain an analysis formula of a BiSAR sea wave image; working out the BiSAR sea wave image by adopting a numerical integration method; and at last, carrying out two-dimensional FFT operation on the BiSAR sea wave image to obtain the BiSAR sea wave direction spectrum. The BiSAR sea wave image can be worked out by adopting the numerical integration method without producing the echo signals and processing the image in a time domain, therefore, the invention has higher operation efficiency.

The invention provides an environment control method for improving sleep quality. The environment control method comprises the following steps of S100, obtaining a brain wave signal of a human body, and collecting environment condition information; S101, analyzing and processing the obtained brain wave signal; S102, generating inducing electromagnetic wave or microwave for guiding the human body to enter the corresponding sleep phase; S103, controlling the environment condition information, and adjusting the environment condition information parameters to the environment condition required by the corresponding sleep phase of the human body; S104, when the brain wave signal of the human body is in a brain wave state of the corresponding sleep phase, recording the current inducing electromagnetic wave parameters or the environment condition parameters, and forming template parameters. The environment control method has the advantages that by generating the inducing electromagnetic wave or microcurrent, the brain wave signal of the human body is guided and adjusted into the brain wave state of the corresponding sleep phase prestored in the template; the sleep quality of the human body is improved, and the health and vigorousness of the human body are guaranteed each day.

The invention provides a method for accurately calculating power harmonic wave parameters through adopting a time delay Fourier transform frequency measurement method, and belongs to a method for automatically monitoring an analytical instrument and an automatic monitoring device used for voltage and current waveform distortion of various power networks. The method includes the following steps: firstly, truncating sampled power harmonic wave signals through adopting a symmetrical window function; performing fast Fourier transform (FFT for short) for the truncated signals; truncating sampled power signals of the same length through adopting the same symmetrical window function at a time delay L point of the sampled power harmonic wave signals, and performing FFT for the truncated signals; accurately calculating out the fundamental wave and the frequency of each harmonic wave as per the phase difference of angle of the FFT performed for two times; calculating out the fundamental wave and the correction factor of each harmonic wave through adopting the method of interpolation in the frequency domain of the dissymmetrical window function; and finally, calculating out the amplitude value and the phase position of each power harmonic wave. The method provided by the invention has remarkable advantage with respect to the time spent in calculation as compared with other windowed FFT interpolation correction and analysis methods, best suits the DSP with hardware FFT, and is a practical algorithm.

The invention discloses an active wave compensation control system and method based on wave trend judgment. The system comprises a sensor network, a hydraulic drive system and a wave compensation controller, wherein the wave compensation controller comprises a PLC; an MRU of the sensor network is utilized by the system to measure ship moving parameters; the MRU and the acoustic wave meter are coupled to obtain the wave motion parameters; a rotary encoder is utilized to measure the motor rotation speed and obtain load motion parameters; the PLC analyzes the motion parameters so as to obtain motion situations of ships, load and waves relatively to the static seal level, namely, a reference system by taking the static sea level as motion parameters is used for solving the issue of mutual coupling of the ships, load and waves; water entry (or water exit) opportunity is selected for analyzing the wave parameters and judging the wave trend by the PLC, and the water entry (or water exit) process is controlled by controlling the motion of the hydraulic driving system, so that the safety and the stability of the offshore hoisting operation are improved.

The invention discloses a neuromuscular electrical stimulation system with implantable automatic feedback adjustment, which can accurately feedback the executive condition of the implanted parameter, improve the therapeutic effects of the implantable electrode specific parameter, really realize improvement and repairing of the individual functions and improve the reliability, effectiveness and controllability of the implanted device. The invention adopts the technical proposal that an implantable electrical stimulation generator are combined with an in vitro controller which can control the stimulus wave parameters and instructions, thereby the online in vivo parameters can be effectively monitored, feedback and adjusted; the signal transmission in the in vitro controller are completed at the same time. The neuromuscular electrical stimulation system can be used in the neuromuscular electrical stimulation field.

The invention discloses a three spectral line interpolation FFT (Fast Fourier Transform) harmonic wave analysis method and system based on a multiplication window function, relating to the harmonic wave analysis field. The method comprises the steps of: constructing a multiplication window function; pretreating signals; determining three spectral lines; calculating a correction formula of a three spectral line interpolation algorithm; calculating a fundamental wave parameter; determining a harmonic wave parameter; and performing error analysis. The invention provides a new window function construction mode, utilizes a routine window function to perform different multiplication combinations, firstly realizes construction of a multiplication window function, and applies the multiplication window function to a three spectral line interpolation FFT algorithm to perform harmonic wave analysis and calculate a harmonic wave parameter. According to a plurality of common cosine window function calculation instances, the multiplication window function of the invention has higher accuracy compared with a routine window function interpolation algorithm, and can realize high precision harmonic wave measurement.

The invention discloses a dual-polarized X-wave band radar ocean wave parameter measurement system, comprising a radar, wherein the radar consists of a radar host and a dual-polarized antenna which isconnected with the radar host in a communicated manner; the radar host is connected with a data acquisition module of a computer; the data acquisition module converts video signal output by the radarinto digital signal and stores the digital signal in a memory unit of the computer; the computer is connected with a polarized switching control module by an I/O interface and is connected with the dual-polarized antenna by the polarized switching control module in a control manner; one end of the dual-polarized antenna is connected with the radar host in a communicated manner, and the other endthereof is connected with the polarized switching control module. The system can provide off-shore area ocean wave parameter information for all day in real time accurately, with the characteristics of security and non-easy lost, low maintenance cost, stable and reliable work, simple and easy operation, and can observe for a long term, therefore, the invention has good application value and marketprospects.

The invention discloses an ocean wave parameter extraction method based on an SFS technology. According to the Lambertian scattering law, relations between the relative echo intensity and the incident angle, the direction slope and the distance slope are derived, the SFS technology and transformation formulas of polarization direction angles caused by the direction slope and the distance slope of the ocean surface are combined to solve slope values of pixels of the ocean surface, and a direction slope spectrum and a distance slope spectrum are obtained respectively by using fast Fourier transform. Spectral peak positions are searched, wave number vector information is acquired, 180-degree ocean wave direction blur is eliminated, ocean wave propagation directions are determined, the wavelength is calculated according to relations between the wave number and the wavelength, the ocean wave period is solved through ocean wave dispersion relations, and the significant wave height is calculated by the average slope and the wavelength. According to the ocean wave parameter extraction method, ocean wave spectrum inversion can be performed without a modulation transfer function, parameters such as the ocean wavelength, the period, the significant wave height and the ocean wave direction can be extracted, and the method is applicable to images acquired by high-frequency radars.

The invention belongs to the technical field of digital signal processing and discloses a voice underdetermined blind identification method and device based on frequency spectrum correction and data density clustering to improve algorithm precision, improve algorithm efficiency remarkably and improve the robustness of the algorithm on noise. According to the technical scheme, the method comprises the steps of 1, conducting hanning windowed L point 50% overlapped short time Fourier transform (STFT) to obtain an observation frequency spectrum Xm(t,k); 2, conducting frequency spectrum correction on the STFT observation frequency spectrum frame by frame; 3, for a specific time frame t0, conducting mode purification on all harmonic wave parameters; 4, executing the step 2 and the step 3 frame by frame, and collecting SAS modes of the all the time frames to form a monosource domain omega={zi, i=1,...,P}, wherein P is the number of modes of the monosource domain; 5, conducting data density clustering on the SAS modes in the monosource domain. The method and device are mainly applied to digital signal processing.

The invention relates to an analyzing system of pulse diagnosis of the traditional Chinese medicine and a method thereof, which can carry out quantitative analysis on the pulse condition change in pulse diagnosis, in particular to the quantitative analysis on the components of the pulse condition in traditional Chinese medicine, namely 'position', 'rate', 'shape' and 'force', thereby greatly improving the accuracy of the pulse diagnosis. The analyzing system of the invention comprises a pulse wave signal collecting device and a signal processing unit, wherein, the pulse wave signal collecting device is used for collecting and generating a blood pressure signal and an ECG signal and the signal processing unit is used for receiving and analyzing the continuous blood pressure signal and the ECG signal; the implement of the signal processing unit comprises that: the position parameter of the measured blood pressure signal is constructed; the heart rate parameter calculated from the blood pressure signal or the ECG signal is constructed; a blood pressure wave parameter analyzed from the blood pressure is constructed; the spectrum analysis parameter is constructed on arterial pressure variability (APV) and heart rate variability (HRV); quantitative indexes based on the parameters are used for defining the components of the pulse condition of the traditional Chinese medicine.

The invention provides a multi-modal sea wave prediction system for a small sea area, comprising: a plurality of multi-spectral remote sensing devices arranged at the center of the sea area view fieldto collect a wave large view field image; a velocity direction meter and a heave accelerometer are both placed in the center of the field of view of the sea area, and measure the velocity direction and amplitude of the waves when they are actually pushed to the center of the field of view. The upper computer is signally connected with the multi-spectral remote sensing instruments, the velocity direction instrument and the heave accelerometer to process the ocean wave image collected by the multi-spectral remote sensing instrument, and calculate the time and the changing trend of the single sense wave arriving at the center of the field of view in the field of view. At the same time, the host computer also measures the wave velocity, wave direction and wave height in the center of the field of view according to the current direction meter and heave accelerometer, optimizes the prediction algorithm of wave parameters, and improves the prediction accuracy. The invention also includes a wave prediction method. The invention provides timely and effective early warning service for marine activities, has high prediction accuracy and good practical value.

The invention discloses a method for detecting wave parameters by carrying out ridge wave transformation on sea noise wave image. The method comprises pre-treating a sea noise wave image, carrying out ridge wave transformation on the sea noise wave image, detecting non-time sequence sea noise wave image, carrying out ridge wave transformation on time sequence sea noise wave image and detecting to obtain wave parameters, and outputting. The outputted wave parameters include wave direction, wave velocity, wave length, period, and wave height. The inventive method for detecting wave parameters in ridge wave transformation domain of sea noise wave can carry out more convenient digital image processing to the sea noise wave image, so as to detect more wave parameters. The invention has distinct application effect to the sea noise wave image with complex wave texture.

The invention discloses a wave pressure based method for measuring wave parameters and tide level of a sea-spanning bridge construction sea area. The method comprises specific steps as follows: step 1, a test point is selected in the construction sea area, a plurality of wave pressure sensors are annularly arranged on the outer surface of a steel pipe pile located in the test point at intervals, and the wave pressure sensors are located in the position 2-4 m lower than a mean water level of the low tide level; step 2, a wave pressure time travel curve corresponding to each wave pressure sensor is generated according to wave pressure values collected by the wave pressure sensor; step 3, one wave pressure sensor with the maximum wave pressure value in a certain time period is selected as a reference wave pressure sensor, and the wave pressure time-travel curve of the reference wave pressure sensor is taken as a reference wave pressure time-travel curve; step 4, the wave parameters and the tide level are calculated according to the reference wave pressure time-travel curve. The structure is simple, and the method is used for comprehensively measuring the wave parameters and the tide level.

The invention provides a Doppler spectrum center frequency estimation method based on a frequency shift iteration. In the method, a spectral moment method estimation frequency shift is taken as an initial value; an integral interval is changed step by step so as to carry out iterated integral; the spectral moment method estimation frequency shift is used in each iteration till that a final frequency shift result convergence is performed; the result is taken as an optimum estimation value of a Doppler spectrum center frequency. Compared to a traditional spectral moment method, by using the method of the invention, an effect of estimating a center frequency by using the frequency shift iteration method is good, a mean absolute error and a root-mean-square error are small and estimation precision of the method is not restrained by a frequency shift resolution. The method is used in a Doppler wave observation radar so that ocean wave parameters of an accurate effective wave height, an average wave period and the like can be obtained.

A multi-spectral line interpolation harmonic analysis method and system based on main lobe width relate to the field of harmonic analysis. The method comprises the steps of preprocessing signals; determining spectral line number; determining weight; calculating a correction formula of a multi-spectral line interpolation algorithm; calculating fundamental wave parameters; determining harmonic parameters; and performing error analysis. A frequency domain expression after windowing of power grid signal (a current signal or a voltage signal) of a power system serves as a starting point, the numberof the spectral lines participating in operation is determined for the first time according to the main lobe width of the windowing function, and the magnitude of each spectral line weight is deduced. Harmonic analysis is carried out on such basis, and harmonic correlation parameters are calculated. It is proved through calculation that an interpolation analysis method carrying out by utilizing all spectral lines in the main lobe is high in precision, high-precision measurement of harmonic parameters is achieved, and good use value is ensured.