32 results about "Spatial average" patented technology

In a video system, a method and system for cross-chrominance removal using motion detection are provided. A luma motion detector in a motion adaptive deinterlacer may be used to determine a chroma current motion for a pixel in a video frame. The chroma current motion may be modified, based on a chroma motion mechanism comprising of an edge detection, a back-off, and a motion biasing, when the output pixel is found to be in a static chroma area of the video frame. A static chroma threshold parameter may be used to determine whether the output pixel is in a static chroma area. A cross-chroma reduction determined based on the current chroma motion, may be blended in the motion adaptive deinterlacer with a spatial average approximation of the output pixel to remove the cross-chrominance from the output chroma.

An optical method and apparatus is utilized to provide rapid spatial averaging over a large sample area in a Raman spectrometer, without defocusing of the optical source or the collection optics. Spatial averaging provides a representative spectrum of a sample that is inhomogeneous, either in its composition or surface characteristics. The spatial averaging configurations and methods disclosed herein also reduce sample degradation or burning resulting from the high intensity of the directed optical source. Moreover, the dimensions of the sample area of the spatial averaging methods and configurations of the present invention are adjusted to match specific sampling requirements.

A method for identifying stochastic information of a heterogeneous material utilizes physical loading measurements that are input into a global optimization process. The optimization process executes, in parallel, a force-driven non-linear finite element simulation and a displacement-driven finite element simulation of a constitutive model of the heterogeneous material. The constitutive models model the spatially varying random material properties (i.e. stochastic properties) using the Karhunen-Loeve expansion, thereby introducing the stochastic parameters, including spatial mean, spatial variance, and correlation length for example into the models. Stress and strain values for both the force-driven and displacement driven finite element analyses are input into an objective function, whereupon the finite element simulations are updated after each iteration of the optimization process is performed until the objective function is minimized to a desired level. This results in the identification of optimized stochastic parameters associated with the heterogeneous material under investigation.

A system and method that produces a spatial average for interlaced video in a deinterlacer. The system detects edges in the video images and determines the angle at which the edges are oriented based on the gradient in the x-direction and the gradient in the y-direction. The direction of the edge is determined using the angle information of the edge. The system may also determine the strength of the edge. Based on the determined characteristics of the edge a filter may be selected to produce a spatial average of the edge in the image.

A pseudo-spatial-average-covariance-matrix generating unit selects, from matrixes R_f1, R_f2, R_b1 and R_b2, one appropriate matrix or two or more appropriate matrixes for combination to generate a pseudo-spatial-average-covariance matrix R. A pseudo-spatial-average-covariance-matrix Hermitian-conjugate product generating unit generates a target-count-estimation matrix RR^H. A target-count-estimation-matrix decomposing unit performs LU decomposition on RR^H into a lower triangular matrix L and an upper triangular matrix U. An index generating unit generates an index using elements of the upper triangular matrix U. An index-parameter scanning unit estimates a target count by using the index generated by the index generating unit.

A method for sensing, in an electronic device, the presence and inferring therefrom an intent of an object includes sensing a baseline ambient spatial average temperature for a sensed field of view, monitoring the sensed field of view for a variation in the ambient spatial average temperature of the field of view relative to the baseline, characterizing any detected variation, determining whether the detected variation is a recognized variation, and causing the electronic device to take at least one predetermined action responsive to a recognized variation.

A method and a system for equalizing one or more loudspeaker(s), e.g. a hi-fi system, positioned in a room in order to compensate sound reproduction from the loudspeaker for an influence of the room. The method includes measuring a listening position transfer function (L) from electrical input of the loudspeaker (L1) to a sound pressure at a listening position (LP) in the room. A global transfer function (G) representing a spatial average of sound pressure level in the room generated by the loudspeaker (L1) is determined. This global transfer function (G) can either be determined as an average of two or more transfer functions measured in field points scattered across the room or it can be calculated based on an acoustic power output measured from the loudspeaker (L1) together with data regarding sound absorption properties of the room. An upper gain limit (UGL) as a function of frequency is then determined based on an inverse of the global transfer function (G). An equalizing filter (F) is then determined based on an inverse of the listening position transfer function (L), but with its gain being limited to a maximum gain in accordance with the upper gain limit (UGL). Finally, the loudspeaker (L1) is equalized with the equalizing filter (F), the filter (F) being implemented such as a minimum phase approximation by an FIR or an HR filter. Preferably, a lower gain limit (LGL) as a function of frequency is also determined as an inverse of the global transfer function (G), wherein a gain of the equalizing filter (F) is limited to a minimum gain in accordance with the lower gain limit (LGL). By use of the upper and lower gain limits (UGL, LGL) it is possible to implement a system capable of automatically designing the equalizing filter (F) with only simple tasks to perform for an operator of the system.

A method of performing spatially localized magnetic resonance spectroscopy includes receiving a magnetic resonance image of an object; identifying a plurality C of compartments that generate magnetic resonance spectroscopy signals in the object including at least one compartment of interest; segmenting in at least one spatial dimension the magnetic resonance image of the object into the C compartments; acquiring magnetic resonance spectroscopy signals from the compartments by applying a plurality of M′ phase encodings applied in the at least one spatial dimension, wherein M′≧C; calculating a spatially localized magnetic resonance chemical shift spectrum from the at least one compartment of interest; and rendering a spatially localized magnetic resonance spectrum that is substantially equal to a spatial average of magnetic resonance chemical shift spectra from the at least one compartment of interest. A magnetic resonance spectroscopy and imaging system is configured to perform the above method.

In a method to select an undersampling scheme of k-space and an associated set of reconstruction kernels to acquire reduced magnetic resonance (MR) data sets with multiple coils, a calibration data set is acquired for each of the respective coils, a noise covariance is determined from autocorrelations and correlations of the noise of the various coils. At least one set of reconstruction kernels is calculated for each of the multiple undersampling schemes from the calibration data sets of the various coils. For each set of reconstruction kernels, a characteristic value is calculated from the noise covariance and the respective reconstruction kernels of the coils, with the characteristic value being proportional to a spatial mean value of a signal noise of an MR image. A selected undersampling scheme and a selected set of reconstruction kernels are selected based on the calculated characteristic values.

The present invention relates to a method for characterizing an atmospheric turbulence by representative parameters measured by a radar. The emission beam of the radar carried by an aircraft scanning the zone of the turbulence, a measured parameter being the total variance of the velocity of the turbulence σ_U, this total variance at a point x₀ inside the turbulence is the sum of the spatial variance of the spectral moment of order 1 of the signals received by the radar Var[M1({right arrow over (x)})] and of the spatial mean of the spectral moment of order 2 of the signals received Mean[M2({right arrow over (x)})], the moments being distributed as a vector {right arrow over (x)} sweeping an atmospheric domain around the point x₀. The invention applies notably in respect of meteorological radars fitted to aircraft such as airliners for example.

The invention relates to the design technology of safety tongs of an explosion-proof elevator, and in particular relates to a heat flux density improved method for safety tongs of the explosion-proof elevator. In the method, time average effect is taken out, and the spatial average effect still exists at the same time so as to obtain a conservative temperature rise evaluation; analysis is performed from the point of view of contact mechanics, a complete finite element numerical model is established for stopping the safety tongs, the lift car mass is equivalent to the safety tongs block body material with extra-high density, the working pressure and initial stopping speed same as the actual working condition are applied, finite element simulation is carried out aiming at the stopping process of the safety tongs, the influences from the friction coefficient, stopping working pressure, initial stopping speed, safety tongs block material and plastic deformation of safety tongs blocks in the stopping process on the maximum stopping temperature rise can be researched by simulation analysis, the above research result is verified through a drop stopping test and is compared with a simulation result so as to ensure the measurement result to be more accurate and credible.

The invention discloses a GRU-NIN model-based underwater acoustic target identification method, which is based on a multilayer stacked GRU structure, takes implicit states output by all GRUs on the top layer of the multilayer stacked GRU structure as a multi-channel feature map input in MLP convolution operation, and through a layer of 1 * 1 convolution micro-network. integration of multi-channel feature maps obtained by different filters is realized, so that the network learns complex cross-feature map features, and GRU implicit state dimensions are compressed at the same time; the global average pooling layer is connected behind the MLP convolution layer, the spatial average of the feature map after the MLP convolution is calculated, and then the output is fed into the Softmax layer to enhance the corresponding relation between the feature map and the category. Under the framework, the model can realize feature extraction and classification recognition tasks of underwater acoustic target recognition. Experimental results show that the model has better classification and recognition performance than a multi-layer stacked GRU model.

A liquid crystal display device (10) in accordance with the present invention includes a display controller (14) (display drive section) for (i) dividing dots into a plurality of units each of which includes a predetermined number of dots and (ii) supplying pieces of gray scale data, into which a piece of input gray scale data is converted and which differ from location to location, to the respective dots in each of the plurality of units. The display controller (14) carries out the conversion so that a spatial average of the pieces of the gray scale data supplied to the respective dots in each of the plurality of units causes a gray scale display based on the piece of the input gray scale data. The display controller (14) includes a location information detection section (31), an input data conversion section (33) (gray scale data conversion section), and the like.

The invention discloses a method for automatically scoring an excrement picture before colonoscopy detection. The method includes: carrying out gray scale conversion on the standard excrement pictureand the excrement picture to be scored; carrying out sub-region division on the converted gray-scale picture; calculating the spatial average color value of each sub-region and negation; inverting thespatial average color value of each sub-region and storing the inverted spatial average color value in a matrix at a corresponding position; converting the matrix into vectors; drawing a corresponding spatial average color value histogram according to the vector; fitting operation on histograms, obtaining a fitting function and a corresponding fitting vector; calculating the minimum value of thedistance between the fitting vector of the to-be-scored excrement picture and the fitting vector of the standard excrement picture, obtaining the score of the standard excrement picture correspondingto the minimum value of the distance, scoring the to-be-scored excrement picture according to the standard excrement picture. The beneficial effects of being accurate in scoring and facilitating unified evaluation are achieved.