33 results about "Statistical noise" patented technology

A method automatically corrects dust artifact within images acquired by a system including a digital acquisition device including a lens assembly. Multiple original digital images are acquired with the digital acquisition device. Probabilities that certain pixels correspond to dust artifact regions within the images are determined based at least in part on a comparison of suspected dust artifact regions within two or more of the images. Probable dust artifact regions are associated with extracted parameter values relating to the lens assembly when the images were acquired. A statistical dust map is formed including mapped dust regions based on the determining and associating. Pixels corresponding to correlated dust artifact regions are corrected within further digitally-acquired images based on the associated statistical dust map.

A physics-based statistical model and simulation / modeling method and system of electromagnetic wave propagation (wireless communication) in urban environments. In particular, the model is a computationally efficient close-formed parametric model of RF propagation in an urban environment which is extracted from a physics-based statistical wireless channel simulation method and system. The simulation divides the complex urban environment into a network of interconnected urban canyon waveguides which can be analyzed individually; calculates spectral coefficients of modal fields in the waveguides excited by the propagation using a database of statistical impedance boundary conditions which incorporates the complexity of building walls in the propagation model; determines statistical parameters of the calculated modal fields; and determines a parametric propagation model based on the statistical parameters of the calculated modal fields from which predictions of communications capability may be made.

A method and system for the imaging and localization of fluorescent markers such as fluorescent proteins or quantum dots within biological samples is disclosed. The use of recombinant genetics technology to insert “reporter” genes into many species is well established. In particular, green fluorescent proteins (GFPs) and their genetically-modified variants ranging from blue to yellow, are easily spliced into many genomes at the sites of genes of interest (GoIs), where the GFPs are expressed with no apparent effect on the functioning of the proteins of interest (PoIs) coded for by the GoIs. One goal of biologists is more precise localization of PoIs within cells. The invention is a method and system for enabling more rapid and precise PoI localization using charged particle beam-induced damage to GFPs. Multiple embodiments of systems for implementing the method are presented, along with an image processing method relatively immune to high statistical noise levels.

The invention relates to an expressway audio vehicle detection device and a method thereof. By the aid of the detection device, a microphone array signal acquisition module acquires an audio signal on a lane, the audio signal is subjected to band-splitting filtering and framing through a signal processing module after being subjected to de-noising processing through a noise suppression module, cross-correlation processing is conducted among sub-band signals, an audio space spectrogram is obtained, a vehicle detection module tracks a track of the maximum value on the audio space spectrogram and judges whether a vehicle passes, and the vehicle type and the vehicle speed are obtained through a vehicle type recognition module and a vehicle speed recognition module if the vehicle passes. The detection method is based on the device, a minimum statistical noise estimation method of the adaptive window length is adopted, the signal which is subjected to noise suppression processing is subjected to band-splitting filtering and framing processing, then cross-correlation processing is conducted among same sub-band signals, cross-correlation results are summed after being subjected to amplitude compression and are unfolded along a timer shaft, and an audio signal space-time spectrum is obtained. The method and the device have the advantages of being low in cost, low in energy consumption, easy to construct, interference resisting, capable of working in all weather and the like.

Data acquired using a pulsed nuclear source are susceptible to two sources of error. One error is due to large statistical noise towards the end of an acquisition window. Another source of error is the contamination of the early portion of the data by borehole and other effects. The beginning of the processing window is adjusted based on the signal level at the end of the processing window for the preceding pulsing of the source. The end of the processing window is derived from statistical considerations.

Provision can be made of a high-speed image processing apparatus that eliminates poor visibility in a dotted configuration or a superimposed portion of two streaks upon removing a false image due to statistical noise. That is, provision can be made of a high-speed image processing apparatus capable of outputting a processed image of high visibility in accordance with a shape of a configuration of a subject appearing in an original image upon removing a false image associated with the statistical noise. A band image noise extract generating unit performs image processing by superimposing a band image, an isotropic blur image, and an anisotropic blur image while changing weighting for each pixel in accordance with edge reliability. Such a construction eliminates poor visibility in the dotted configuration or the superimposed portion of two streaks upon removing the false image in the original image.

The invention provides a method for reconstructing radar scanning data to generate visual three-dimensional terrain. By utilizing the method, three-dimensional terrain data obtained by the scanning of a three-dimensional radar can be reconstructed and displayed in real time. The method is implemented through the following technical scheme of: constructing a three-dimensional gridding module according to the size and resolution power of a scanning area of the three-dimensional radar, and initializing according to radar scanning data to generate a preset height surface; performing the statistical noise filtering of a region to remove the noise and dead spots of a radar system; interpolating empty data by using a constrained adaptive fractal extension method to generate the continuous and realistic three-dimensional terrain data and control the approximate shape of generated terrain to a certain degree; calculating the terrain data by utilizing a mode of six-degree of freedom voxel to form terrain contour lines in different visual angles; and completing ground texture mapping by loading mixed texture mapping with a fractal mode, and completing the rendering of the terrain contour lines by a gradient mode of luminance-height-gradient so as to generate a final three-dimensional terrain image.

The present application discloses a method for identifying an uplink interference type, which includes: for each cell, calculating the interference reference index of the cell in each statistical period, and calculating the evaluation of the cell in the current statistical period according to the statistical result parameters, the interference reference indicators include: cell traffic ERL, cell-level interference band statistic OUTB1 and carrier-level interference statistic trxinterf, and the evaluation parameter includes the standard of the carrier-level interference statistic trxinterf of all carrier frequencies in the cell difference σ; for each cell, when each interference determination period arrives, the type of interference currently received by the cell is determined according to the statistical value of the interference reference index of the cell and the evaluation parameter. By adopting the present invention, the accurate identification of the uplink interference type can be realized quickly and effectively.

The invention discloses a ground surface classification method based on the background noise rate of single-photon laser radar. First, the expression of the photon reflection noise rate of the water surface is proposed according to the mirror reflection theory, and then the background is established by combining system parameters, environmental parameters and target characteristic parameters. The noise rate model provides the mathematical expressions of the land background noise rate and the water body background noise rate respectively, and finally calculates the threshold value of the surface classification noise rate. According to the significant difference between the background noise rate of land and water bodies, the statistical noise rate of the original point cloud data of lidar can be compared with the noise rate threshold to judge the surface type. This classification method does not rely on digital topographic maps or high-resolution remote sensing images used in traditional methods, and the auxiliary data used are easy to obtain, fast and efficient, and can achieve high-precision classification of surface types in coastal areas. The method is applied to MABLE original point cloud data, and the classification effect is excellent.