320 results about "Process noise" patented technology

An auxiliary dust collection system can be interposed between a sander or other dust producing tool and a vacuum source, e.g., shop vacuum. This auxiliary system has a cyclonic separator connected by a flexible hose to the tool and by another hose to the vacuum source. The cone of the separator is mounted onto the lid of a drum into which the dust precipitates. For a tool that has its own blower, the vacuum source can be omitted, and the air leaving the outlet duct of the separator can be filtered and returned to the ambient. A drop in silencer formed of a sleeve or tube of acoustic foam can be positioned into the inlet side of a filter cartridge following a cyclonic separator. The silencer absorbs a significant fraction of the process noise.

The invention discloses a method for estimating junction temperature on line by an IGBT (Insulated Gate Bipolar Transistor) power module. The method comprises the following steps: estimating the junction temperature by using a thermo-sensitive electrical parameter method; establishing an extended state space thermal model; and applying a Kalman filter in junction temperature estimation. The thermosensitive electrical parameter method can estimate the junction temperature of an IGBT power module in real time, an IGBT conduction voltage drop VCE (ON) is selected as a thermosensitive electrical parameter, and a VCE (ON) online measurement circuit is provided. On the basis of a Foster thermal network model, the influence of diode coupling is considered, and an extended state space thermal model comprising self-heating and coupling heat is provided; And taking the power loss of the diode and the IGBT and the junction temperature estimation value obtained by using the thermosensitive electrical parameter method as the input of the Kalman filter, and considering the measurement noise and the process noise, thereby obtaining the optimal junction temperature estimation value. According to the method, electrical insulation is achieved, measurement is carried out without changing a control strategy of the power converter, noise is reduced, the intermittent influence of voltage measurementis eliminated, and the junction temperature measurement precision is improved.

An accessory device for a ballistic thrower / launcher that can be handgun or a gun or other object throwing or launching device that is meant to improve the quality of the action, the comfort and safety of the operator. It is made of accessory devices that stabilize the operation of the throwing device aligning the recoil with the projectile trajectory making the process reproducible, predictable and controllable. It adds environment monitoring electronics, cameras and actuators, for accurately launching after aiming, considering all the major process perturbations, as movements, wind, humidity, atmospheric pressure, target movement, shooting post movement, etc. The device adds other features of safety for the operator, as stealth action, dimming process noise, recoil shock, flames and heat signature being suitable for remote operation.

The invention provides a depth map fusion method and a depth map fusion device. The depth map fusion method comprises the following steps of: extracting depth maps from scenes at different visual angles according to scene information acquired by a plurality of cameras; clustering the depth maps extracted from the different visual angles; establishing a deletion matrix according to the clustered information; recovering the deletion matrix to obtain a complete low-rank matrix; selecting a first dimensional subspace from the complete low-rank matrix according to an elastic network algorithm; andreconstructing a three-dimensional model according to the first dimensional subspace. The depth map fusion method has the advantages of effectively processing noise and having high accuracy for processing standard data simultaneously.

The invention provides a lithium battery SOC estimation algorithm based on dual adaptive unscented Kalman filter. The algorithm utilizes the advantages of a Kalman filter to track the accurate state value of SOC and is free of cumulative errors caused by a traditional time integration method. In particular, through the use of an adaptive unscented Kalman filter, the SOC value of a lithium battery can be estimated in real time; a covariance matrix of process noise and measurement noise can be estimated on-line; this avoids the filter estimation performance degradation of a traditional Kalman filter due to the only assumption that there exists Gaussian white noise in an estimation process and even the problem that filter divergence deviates from the true value, etc. The algorithm provided by the invention conducts filter calculations and utilizes a noise statistic estimator to perform on-line correction to the statistics of the unknown or inaccurate noise in real time so as to realize on-line estimation of a lithium battery SOC and to improve the precision and accuracy of SOC estimation. The convergence speed is greatly enhanced under the condition with erroneous initial SOC.

The invention relates to a distributed target tracking method suitable under a camera network, and belongs to the technical field of the camera network, distributed processing and target tracking application. The method includes the steps of performing motion prediction and estimation for a target monitored by each camera using square root cubature information filtering; performing information interaction among the cameras through communication, and then performing distributed data fusion of the information using a mean consistency method; and finally, obtaining a stable tracking result through multiple iterations so as to achieve target tracking under the camera network. Compared with the prior art, the method of the invention takes relevant noise between process noise and measurement noise into consideration so that a system with the presence of the relevant noise can also achieve the application of target tracking; the use of the square root cubature information filtering allows the system to avoid the falling into the finite word-length problem of a processor, and meanwhile, the combination of the weighted mean consistency method allows the application in a distributed environment by the system; and the robustness of the method is enhanced while the tracking accuracy is improved.

The invention discloses a method and system for dynamically suppressing power line impulse noise. A power line impulse input code stream is modulated, and part of peak values of each OFDM symbol that are obtained are quantized and coded, and are then input to a power line channel together with the OFDM symbols; a receiving end receives signals on a power line, the abovementioned part of peak values are recovered from coded signals, an average value of the peak value information is calculated, a received OFDM symbol sampling value is compared with the average value, thereby judging the magnitude of noise; three different noise suppression methods of deep amplitude limiting, amplitude limiting and blanking are used to process each OFDM symbol according to difference of the magnitude of noise; and blanking and amplitude limiting thresholds of the three noise suppression methods are determined by using a threshold value optimization method, and data after processing is completed are sent to an OFDM demodulation module. The method for dynamically suppressing the power line impulse noise adopts different noise suppression methods to process noise according to different situations of the magnitude of impulse noise. The deep amplitude limiting method keeps the basic features of signals; the blanking method performs zero setting on detected impulse noise, and immediately eliminates interference among the signals without affecting system performance; and the amplitude limiting mode is easy to realize.

A method of processing noise in image data by an image processor having a signal-processing portion converting an image signal from an image sensor into a digital signal and outputting the converted signal as image data for each frame, the image data indicating sets of pixel values each having a brightness at a corresponding one of coordinate points arranged in directions of rows and columns is disclosed. The method includes the steps of: extracting pixel values; deciding pixel value; finding autocorrelation coefficients of pixel values which are less than a first threshold value; and deciding random noise in the image.