42results about How to "Excellent precision" patented technology

The invention discloses an electric spark induction controllable erosion and electrolysis compound efficient machining method which is characterized by comprising the steps of: with electrolyte as a working medium, immersing one end of a to-be-machined workpiece electrode and a tool electrode in the working medium, intermittently introducing air to a machining area and forming an air film between the to-be-machined workpiece electrode and the tool electrode; generating electric spark discharge between the to-be-machined workpiece electrode and the tool electrode under the action of an electric spark power supply to ensure that the to-be-machined workpiece generates an oxidation exothermic reaction with the introduced air under the action of electric spark discharge ignition and forms a burning effect so that efficient ablation is realized; in an air closed stage, carrying out electrochemical machining and surface dressing on the ablation surface under the action of an electrolysis power supply; and alternating to start an electric spark ignition pulse power supply and an electrolysis eroding power supply and moving the tool electrode until machining is finished. The invention has the advantages of high material eroding efficiency up to be several times, even tens of times of that of the conventional electric spark machining and also be higher than that of the conventional electrolysis machining under the same electrical parameters on the premise of ensuring machining quality and precision, good surface quality, precision and controllability and capability of eliminating surface residual stress.

The invention provides a large mechanical equipment structure dynamic similarity test method, comprising the steps as follows: (1) a basic similarity theorem is adopted, all physical quantities are listed, geometrical quantity, density and elastic modulus are determined as basic physical quantities, and the similarity theorem is written into a dimensionless equation expressed by the basic physical quantity; (2) according to concerned basic physical principle, the similarity ratio of all physical quantities adopts similar relation expression, and the similar relation expression is modified according to a structure elastic vibration similarity equation; (3) similar model material is selected, density similarity ratio and elastic modulus similarity ratio are determined, geometrical quantity similarity ratio is determined, and the similar model design is then completed; (4) a structure dynamic test of the similar model is carried out so as to obtain the dynamic characteristic number which is substituted into the similarity relation expression so as to work out the dynamic characteristic data of the original model which is also the natural vibration frequency. The large mechanical equipment structure dynamic similarity test method realizes the conversion of ultra-large structure dynamic natural frequency with small model, effectively reduces the scales of dynamic test objects, simplifies the test instruments, and reduces the test cost.

In an arrangement for adjusting the spatial dependence of a magnetic field in a working volume of a main field magnet (19) by means of ferromagnetic field shaping elements (16), the field shaping elements (16) are formed from foils (1, 5, 7, 8) and/or sheet metals (10) having openings (2, 3) whose shape, position and size are selected such that the shape and the amount of the remaining ferromagnetic material produces a desired spatial dependence of the magnetic field in the working volume of the main field magnet for appropriate positioning of the foils (1, 5, 7, 8) and/or sheet metals (10) relative to the working volume of the main field magnet.

The invention discloses a fast constant temperature microreactor. The fast constant temperature microreactor comprises a sample cell and at least one sample inlet and outlet arranged on the top of the sample cell, wherein the bottom of the sample cell is provided with an inert slab or a microfluidic chip, the top of the sample cell is provided with an inert thin layer, and a sample cell wall formed by a seal cushion is arranged between the inert slab and the inert thin layer; heatconducting blocks and temperature sensors are arranged on the inert thin layer, and the temperature sensors are covered in the heatconducting blocks; temperature control elements are arranged on the heatconducting blocks, and radiating blocks are arranged on the temperature control elements; the side walls of the heatconducting blocks and the side walls of the temperature control elements are covered by insulating housings; and the sample inlet and outlet of the sample cell is communicated with the outside by pipelines. The microreactor has compact size, can be used as a sample cell for a surface plasma resonator, a resonance light scattering apparatus and other analytical instruments to realize the fast temperature change and the accurate constant temperature control of samples in controlled elements, and can meet the operating requirement of high accuracy measurement on temperature-sensing biological samples.

The invention discloses a target tracking method for modeling by integrating a description method and a discriminant method, which comprises the following steps: 1, t=1, randomly extracting a multiscale small image block set from a tracked object and neighboring backgrounds of the tracked object in a first frame image and training a pair of support vector machines in a second category and a pair of support vector machines in a first category serving as a model of the tracked object; 2, randomly extracting a multiscale small image block set in a t+1 frame image and determining degree of confidence that the small image block set in the t+1 frame image belongs to the tracked object through the model of the tracked object, and constructing a confidence image by using the degree of confidence of a small image block in a new frame image and central coordinates of the small image block; acquiring a new position of the tracked object in the new frame image by using a mean shift algorithm on the confidence image; classifying the small blocks in the current frame according to the degree of confidence of the image block and the new position of the tracked object, and updating the model of the tracked object according to the classification result; 3, if not reaching the last frame of a video file, increasing t and returning to the step2; and 4, stopping.

The inventive fuel engine servo loading device includes a motor, a servo-driver and a main control unit, wherein, an outer rotor of the motor is directly connected with output shaft of an engine; an inner rotor is inside of the outer rotor, and the inner rotor shaft is the device output shaft; one of the inner rotor and the outer rotor is inlayed with permanent magnetism, the other is inlayed with windings. A velocity/position sensor on the outer rotor is connected with the main control unit and the servo-driver, a position sensor on the inner rotor is connected with the servo-driver, the main control unit is connected with the servo-driver, the servo-driver is connected with windings, and the main control unit stores the curve date of engine operated with optimum efficiency. The optimum efficiency operation control method of the inventive device is that the velocity/position sensor sends out signals the outer rotor velocity and position in real time; the position sensor sends out the inner rotor position signals in real time; a computer calculate an optimum torque value; the servo-driver dynamically loads inner or outer rotor winding current based on the torque setting value and the relative position of the inner and outer roters, so as to allow the engine to always work at the optimum efficiency curve, thereby outputting maximum mechanical energy at identical oil wear.

The invention discloses an automobile early warning monitoring control system and a control method thereof. The automobile early warning monitoring control system comprises a main controller module, aT-BOX, a cloud service, a client mobile phone APP and a vehicle control unit. The main controller module is connected with an ultrasonic detector, a carbon dioxide detector, an oxygen sensor, a temperature sensor, a camera and a voice sensor. The main controller module is also connected with the T-BOX, the T-BOX is connected with the client mobile phone APP through the cloud service, the T-BOX isconnected with the vehicle control unit, the vehicle control unit is abbreviated as VCU, and the main controller module is used for judging whet there are living things in the vehicle, and determining whether to turn on the camera and the voice operation in the vehicle environment state. According to the automobile early warning monitoring control system and the control method thereof, the ultrasonic detection system detects living things in the vehicle, sends out an alarm, and sends data to the owner's mobile phone, so that the owner can view the environment inside and outside the vehicle and takes appropriate measures. Ultrasonic detection is superior to infrared detection in cost, and the accuracy, the service life and the like are superior.

The invention provides a cash consumption prediction method and device for an automatic teller machine. The cash consumption prediction method for the automatic teller machine comprises the followingsteps: obtaining transaction data, a geographic position and weather forecast data of the geographic position of the automatic teller machine in a current clearing period; and according to the legal holidays in the target clearing period of the automatic teller machine, the transaction data in the current clearing period, the geographic position, the weather forecast data in the target clearing period and the preset cash consumption prediction model of the automatic teller machine, predicting the cash consumption in the target clearing period of the automatic teller machine. According to the cash consumption prediction method, the cash consumption management accuracy and the working efficiency of the automatic teller machine are effectively improved.

The invention discloses a duplication elimination method based on search results of a metasearch engine. The duplication elimination method based on the search results of the metasearch engine is provided to solve the problems that in the prior art, duplication elimination cannot be carried out on the same web pages of URLs with different formats and redirected web pages, and sentences and articles cannot be represented fully according to information around punctuation marks, positions of the punctuation marks and fuzzy matching of word frequencies. The method comprises following steps such as 1, judging whether there are duplicated web pages or not according to URL addresses; 2, computing the title similarity of the two web pages and the abstract similarity of the two web pages; 3, computing the similarity of the web pages according to the title similarity and the abstract similarity; and 4, determining that the two web pages are duplicated if a similarity value Sim (A, B) is more than a threshold. The method can be applied to the field of duplication elimination based on the search results of the metasearch engine.

The invention relates to an urban land utilization change simulation cellular automaton method based on a BSVC method. The method comprises the following steps: 1) supervising and classifying remote sensing images to obtain an urban land utilization classification map; 2) obtaining urban land utilization change driving factor data, and performing preprocessing; obtaining effective sample points ofthe land utilization map and the driving factor through a random stratified sampling method; 3) training the effective sample points by using a Bayesian space variable coefficient (BSVC) method to obtain a conversion rule of the cellular automaton; 4) obtaining the urban land utilization conversion probability according to the CA conversion rule established by the BSVC; 5) establishing a CA model(CABSVC) based on the BSVC; the urban land use change simulation method based on the CABSVC model has the advantages of being higher in simulation precision and better in urban land use change simulation capacity compared with the prior art, and realizing evaluation through the overall precision (OA) and the figure goodness (FOM).

The invention provides an all-weather surface temperature generation method integrating thermal infrared and reanalysis data, which is realized on the basis of random forest integrated thermal infrared remote sensing and reanalysis data. The method specifically comprises the following steps: performing data preprocessing and space-time matching; implementing a time algorithm; implementing a spacealgorithm; and generating the final 1km all-weather surface temperature. According to the invention, reanalysis data is introduced, a long surface temperature and related observation data can be provided, the data is integrated with thermal infrared satellite remote sensing to obtain all-weather surface temperature with long time sequence and high temporal-spatial resolution. The obtained surfacetemperature has good consistency with a traditional thermal infrared satellite remote sensing surface temperature product, and through the inspection of the actually measured surface temperature, theprecision is within an acceptable range, the image quality is higher, more space detail information of the surface temperature can be displayed, and the overall quality and precision are superior to those of a method for integrating thermal infrared satellite remote sensing data and passive microwave data.

A mechanical connection structure for detecting dynamic torque by adopting a static torque sensor comprises a detected motor, a rotating shaft load regulator and the static torque sensor. The rotating shaft load regulator is installed between the motor and the static torque sensor, and the rotating shaft load regulator, the motor and the static torque sensor are coaxially connected. The mechanical connection structure has the advantages that as a detection shaft of the static torque sensor does not rotate and only twists and deforms, the mechanical connection structure is simple, mature in technology and stable in performance, and the static torque sensor is superior to a dynamic torque sensor of the same grade and the same specification in accuracy and performance stability; accordingly, the accuracy and stability of data detection are improved by adopting the static torque sensor; the rotating speed, detected by the static torque sensor, of the motor is higher than the rotating speed, detected by the dynamic torque sensor, of the motor, and therefore the applicable rotating speed range of the mechanical connection structure is larger; because the price of the static torque sensor is far lower than that of the dynamic torque sensor, the cost for detecting the dynamic torque of the motor or other rotating shaft power machines is lowered.

The present invention discloses a method for extracting the tobacco oil component through an ultrasonic assisted Soxhlet extraction method. The method comprises: 1) weighing tobacco with a certain mesh number, loading into a filtration paper bag, drying, and cooling; 2) placing the filtration paper bag in the step 1) into the receiving bottle of a Soxhlet extraction device, and soaking for a certain time with a certain amount of petroleum ether; 3) treating the receiving bottle in the step 2) through an ultrasonic method; 4) carrying out Soxhlet extraction; 5) concentrating the petroleum ether extraction solution; and 6) detecting and analyzing the tobacco oil component through GC/MS. According to the present invention, compared with the standard method (YC/T176-2003), the process of the present invention has the following characteristics that: the total amount of the petroleum ether extract is averagely increased by more than or equal to 15%, the precision and the reproducibility are significant, the solvent consumption is less, and the operation is simple.

The present invention relates to a method for manufacturing a bone graft material using 3D printing of a DLP system. The method includes (1) dispersing a powder material including calcium phosphate-based ceramics in a solvent; (2) recovering the calcium phosphate-based ceramics by removing the solvent from a solution in which the calcium phosphate-based ceramic material is dispersed in Step 1; (3) producing a photocurable resin composition by adding a binder resin including a crosslinking agent and a photoinitiator to the calcium phosphate-based ceramics obtained in Step 2; (4) performing 3D rapid prototyping on a bone graft material molded body from the composition for a bone graft material produced in Step 3 by 3D printing of a DLP system; and (5) debinding and sintering organic materials remaining in the bone graft material molded body subjected to prototyping in Step 4.

The invention relates to the technical field of satellite location and discloses a BDS (Beidou Navigation System) and GIS (Geographic Information System) deep coupling location method and system based on a UKF (Unscented Kalman Filter). The BDS (Beidou Navigation System) and GIS (Geographic Information System) deep coupling location method comprises the steps: establishing a forecasting matrix of vehicle location, and deducing vehicle position information at a next moment according to vehicle position information at a current moment after corrected and the forecasting matrix; calculating a forecasting variance matrix at the next moment according to a location variance matrix at the current moment; organizing a GIS road model, and calculating a filter gaining matrix according to the road model, measurement noises and the forecasting variance matrix at the next moment; and acquiring a navigation location observed quantity at the next moment, outputting and correcting the observed quantity according to the filter gaining matrix to form a vehicle position at the next moment after correcting, and updating the location variance matrix at the next moment. According to the BDS (Beidou Navigation System) and GIS (Geographic Information System) deep coupling location method and system disclosed by the invention, a geographic information system technology is adopted, the amendment of a location error originates from the accurate GIS model, and the technical problem that the location error is increased along with the time lapse is solved.

The invention relates to a method for dating the isotope of limestone Re-Os, and belongs to the technical field of isotope geochronology. The problems that the sampling method is unscientific, the dating samples are blindly selected, the success rate of dating is low, the sample digestion is incomplete and takes a long time, and the impurity interference caused by a dissolution scheme causes the poor accuracy and precision of the limestone Re-Os isotope age results. The method comprises the following steps: collecting a limestone sample and crushing the sample; selecting a limestone dating sample deposited in a reducing environment; pre-digesting the limestone dating sample, and dissolving a pre-digesting solution of the limestone dating sample with a mixed solution of hydrochloric acid and hydrogen peroxide; separating and purifying a dissolution solution Re-Os of the limestone dating sample; performing the Re-Os isotope thermal ionization mass spectrometry; processing the Re-Os isotope data to obtain the final limestone Re-Os isotopic age. The analysis method provided by the invention has the advantages of improving the success rate, accuracy, precision and the operation efficiency of the experimental process of the limestone Re-Os isotope dating.

The invention provides an advertisement typeface side trip full automatic numerical control grooving bending machine and a grooving method. The machine comprises a support table, a material dragging mechanism located on the support table, a grooving mechanism located at the one end of the material dragging mechanism and a control device. The bending machine adopts the electromechanical structure feeding transmission mode of 'reciprocating material clamping and pulling', ensures accuracy and stability of the size of the grooving node, and enables the length of the machine strip not to be constrained. By means of an automatic marking mechanism arranged at the grooving cut position, operation of manual measurement and marking is avoided, and the grooving efficiency and accuracy are improved. By means of a grinding wheel loss detection sensor, the grooving loss of the grinding wheel is compensated automatically, and consistency of the grooving effect and the side strip grooving depth is ensured. The material dragging device achieves the way of multi-strip parallel arrangement and simultaneous grooving, and is high in grooving efficiency for characters in large batch and repeat rate. The grooving process is set and controlled to operate by the special computer software program, the automation degree is high, and stability and reliability are achieved.

The invention discloses a wine bottle defect automatic detection method based on YOLOv3. The method comprises the steps: learning defect features in wine bottle defect image data which is marked through manual collection through a YOLOv3 network structure to obtain a model which can automatically recognize whether a wine bottle in production contains a defect; and loading the model into a real-time wine bottle identification system, carrying out real-time shooting, and returning an identification result in real time, so that the problems of low efficiency and low precision of a manual detection belt can be solved, the automation degree of a production process can be improved, the detection speed is very high, multiple images can be detected in one second, the requirement of large-batch detection tasks is met, the defect that the previous version is not high in recognition precision of small-size targets is overcome, and the detection precision is remarkably improved. The method has theadvantages of being convenient to operate and easy to implement.

The invention discloses a diamond blunt tool, which comprises a cutter body, wherein the cutter body is disc-shaped, a group of tooth holders are uniformly arranged on the circumference of the cutter body, and each tooth holder is provided with a cutter tooth. The diamond blunt tool comprises multiple cutter teeth, and each cutter tooth is independent so as to be convenient for replacing each damaged cutter tooth, the cost is reduced, the cutter teeth are made of diamond, and hardness, precision and stability are further better than the cutter teeth made of high-speed steel and alloy, so that the processed pencil has stable appearance and specification and high precision, the defective index of a product is reduced, profited by the hardness of the diamond, the service life durability of the tool is greatly reduced, more than 5000000 tools can be processed regularly, the replacement period of the tool is reduced, and the production efficiency of pencil processing is improved, so that the surface smoothness of the pencil end is greatly improved, a core break rate of a cartridge is reduced by 50%, the surface oil paint of the pen is difficult to crack, meanwhile, the processing noise of the tool is remarkably reduced, and the comfortableness of a work environment is provided.

The invention discloses a diamond section cutting tool. Tool teeth and chip grooves with large axial angles larger than 45 degrees are evenly arranged on the circumferential surface of a tool body, the diamond section cutting tool comprises a plurality of groups of tool teeth, each tool tooth is independently arranged, and therefore each damaged single tool tooth can be replaced conveniently, and therefore cost is reduced. The tool teeth are made of diamonds and have the large axial angles so that hardness and stability of the tool teeth are far superior to those of tool teeth made of high-speed steel, alloy and other materials. Compared with the tool teeth made of the same material, the diamond section cutting tool has the large axial angles (45 degrees to 80 degrees) so that service life of the tool is more than 10 times that of the like tools, durability is greatly improved, the tool replacement period is reduced, and processing production efficiency is improved.

The invention discloses a water quality mechanism modeling and water quality prediction method based on a fruit fly optimization algorithm, belonging to the technical field of environmental engineering. At first, the invention combines the water quality evolution mechanism, and proposes a lake reservoir water quality mechanism modeling and water quality prediction method based on a fruit fly optimization algorithm. Based on the known water quality measurement data, the unknown parameters of the water quality mechanism model are estimated by using Drosophila optimization algorithm. On this basis, the water quality evolution process is predicted by Monte Carlo simulation, and the probability distribution of water quality indexes in the future is obtained, and the water quality prediction isrealized. The invention can establish an accurate water quality mechanism model, and the water quality mechanism modeling method based on the drosophila optimization algorithm can accurately estimateunknown parameters of the water quality mechanism model, which improves the optimization accuracy and speed compared with the prior method; water quality prediction method can effectively realize water quality prediction, and consider more comprehensive, accurate, and overcome the contingency of single-value prediction results.

The invention discloses an obstacle avoiding or positioning navigation and communication system. The system utilizes one set of wireless transceiver modules to carrying out automatic obstacle avoiding or positioning navigation and wireless communication functions at different time segments. The system is advantaged in that disadvantages of robots and unmanned planes in the prior art are solved, the volume is reduced, weight is reduced, cost is reduced, and the system is suitable for large-scale production.

The invention discloses an online monitoring method and device for sludge-dewatering-technology ammonia (NH3) and hydrogen sulfide (H2S). The device comprises a ventilation system, a dewatering system, an on-line monitoring system and a tail gas absorption system. Online monitoring of the concentrations of the NH3 and the H2S which are generated in the sludge dewatering technology can be carried out, and the discharging amount of NH3 and H2S in the sludge dewatering technology can be accurately measured. The online monitoring method can provide a technical support for measuring the dischargingcharacteristics of the sludge-dewatering-technology NH3 and H2S and controlling malodorous gas in the process.

The invention discloses a focusing-type lamp with the adjustable brightness and color temperature. The focusing-type lamp comprises an electric box (1), a lamp arm (2) and a bulb holder (3); one end of the lamp arm (2) is fixedly installed at the bottom of the electric box (1), and the bulb holder (3) is rotationally installed at the other end of the lamp arm (2); a light-modulating and color-modulating electric appliance (4) is arranged in the electric box (1), and is connected with the bulb holder (3) through a circuit; a light-modulating switch (41) and a color-modulating switch (42) whichare independently arranged are arranged on the light-modulating and color-modulating electric appliance (4). According to the focusing-type lamp with the adjustable brightness and color temperature, multiple light-control functions are integrated, function maximization is achieved, parts are integrally designed, light-modulating control and color-modulating control are carried out through the twoswitches independently, full covering of color and power is achieved, and a focusing mode is a gear-type focusing mode; it is achieved that the lamp can directly emit corresponding lamplight with multiple luminous angles, colors and powers through the switches and a focusing assembly.

The method for producing a screen print having a given print pattern formed on a printing material by sliding a squeegee over a screen 3 of a screen printing plate comprising the screen 3 disposed above the printing material with keeping a given clearance C and a printing plate frame. The ratio (L_P/L_F) of a length (L_P) of a side of the printing pattern perpendicular to axis of the sliding direction of the squeegee to an internal size (L_F) of a side of the printing plate frame perpendicular to axis of the sliding direction of the squeegee is 0.45 or more, and an optimum clearance between the printing material and the screen printing plate is selected and set on the basis of correlation between the clearance CL (0.1-2 mm) and the degree of deviation in printing position of the print pattern.

The invention provides a method for predicting fuel consumption of an aircraft, which comprises the following steps of: dividing the whole flight process into 22 flight segments according to waypoints of each flight, a takeoff and landing airport and a flight plan; using a correlation analysis method to extract parameters with high correlation with flight fuel consumption as input; performing regression prediction on flight fuel consumption of each leg through a random forest algorithm, and determining important parameters of the random forest algorithm by using a grid search method; the final predicted value is the sum of the predicted values of the sub-legs, and evaluating the model through the predicted value. The accuracy of the method is improved compared with the oil calculation accuracy of an existing flight planning system (FPS) in the industry, the purposes of improving the aviation oil use efficiency, improving the economic benefits of airlines and reducing the overall oil consumption level of the industry can be achieved, a theoretical reference is provided for an airline company to make a fuel oil decision, and a contribution is made for achieving the dual-carbon target of the civil aviation industry.

The invention discloses an air quality inference method based on space-time matrix decomposition, and relates to the technical field of risk assessment. The method comprises the steps of 1, collecting air quality monitoring data, and obtaining a time feature matrix and a space feature matrix; and 2, designing an air quality inference model based on space-time matrix decomposition, and inferring the air quality of an unknown area on the basis of the model. According to the air quality inference method based on the space-time matrix decomposition, the air quality of an area without an air quality monitoring station in the area can be reasonably inferred according to the data of the existing air quality monitoring station in the area, and the inference result has good precision and stability.

The invention relates to a network map intelligent generation method and system based on a remote sensing image, and belongs to the technical field of computer vision. According to the method, the semantic category of the collected network map is extracted and redrawn, so that correctness of semantics contained in the network map can be explicitly corrected in the model training process, and color value unification and standardization in the network map are realized. A dual-module design of a ground feature semantic information prediction module and a network map generation module is used, and each module can be updated according to a current latest or future updated semantic segmentation technology and an image generation technology, so that ground feature semantic information of a remote sensing image can be understood and corrected explicitly; and information such as image styles, drawing specifications, detail features and the like contained in the network map can be learned in a self-adaptive manner by means of adversarial generation. According to the method, on the premise that special equipment is not needed and the generation speed is high, the accuracy degree and the sensory quality of map generation under the complex real remote sensing image are improved.

The invention relates to the technical field of artificial intelligence, in particular to a network model and method for face shielding detection based on graph reasoning. In order to solve the problem that the recognition precision of shielded faces is affected by the framework limitation and calculation complexity of an existing convolutional neural network, the invention provides a network model for face shielding detection based on graph reasoning. The network model comprises a feature extraction network, a graph attention reasoning module (GARM) and a decoding (deconvolution) part. Meanwhile, low-layer, high-layer and edge features of the face are extracted through a residual network and spatial pyramid pooling, similar pixel features are projected to graph nodes through graph projection, a projection data relation between the nodes is calculated to infer and analyze a possibly-shielded area, pixels are distributed to the area for detection, and finally a face shielded area is detected. Data sets such as Helen are adopted for model training and testing, and experiments prove that the detection precision and the segmentation precision of the method are superior to those of other current neural network face occlusion detection methods.

The subject of the present invention is a method and a system for measuring the geometric or optical structure of an optical component. In particular, the invention relates to a method for measuring the geometric structure of a component bounded by a first side (10) and a second side (20), said method comprising steps of: (S1) measuring a first signal (MS1) resulting from a first conversion of a first probe signal (PS1), by at least said first side (10); (S2) measuring a second signal (MS2) resulting from a second conversion of a second probe signal (PS2), by at least said second side (20); (S3) determining a third conversion making it possible to convert a first set of coordinates (R1) associated with the measurement of the first signal (MS1) to a second set of coordinates (R2) associated with the measurement of the second signal (MS2); (S10) estimating said first side (10) using the first signal (MS1), said first simulation and a first cost criterion (V1) quantifying a difference between the estimation (FS1) and the first signal (MS1); and (S20) estimating said second side (20) using the second signal (MS2), said second simulation, said third conversion and a second cost criterion (V2) quantifying a difference between the estimation (ES2) and the second signal (MS2).