39results about How to "Minimize error function" patented technology

A system, process and software arrangement are provided to determining data associated with at least one structural change of tissue. In particular, a first optical coherence tomography (“OCT”) signal which contains first information regarding the tissue at a first stress level, and a second OCT signal which contains second information regarding the tissue at a second stress level are received. The first and second information are compared to produce comparison information. The data associated with the at least one structural change is determined as a function of the comparison information and further information associated with (i) at least one known characteristics of the tissue and/or (ii) characteristics of an OCT system. Further, at least one optical coherence tomography (“OCT”) signal which contains information regarding the tissue can be received, and the modulus of the tissue may be determined as a function of the received at least one OCT signal.

A digital image processing system takes color plus Z channel data as input, preprocesses, decimates, and codes the Z channel in-band as digital watermark data embedded within the color data prior to encoding and transmission. A second digital image processing system receives, decodes, and extracts the decimated Z channel data before applying statistical regularization to restore a full-resolution Z channel prior to depth-image-based rendering.

Systems and methods for image retargeting are provided. Image data may be acquired that includes motion capture data indicative of motion of a plurality of markers disposed on a surface of a first subject. Each of the markers may be associated with a respective location on the first subject. A plurality of blendshapes may be calculated for the motion capture data based on a configuration of the markers. An error function may be identified for the plurality of blendshapes, and it may be determined that the plurality of blendshapes can be used to retarget a second subject based on the error function. The plurality of blendshapes may then be applied to a second subject to generate a new animation.

Methods and apparatus for reducing signal degradation of a communications signal caused by reducing the average-to-minimum amplitude ratio (AMR) of a communications signal. According to one exemplary method, times when the amplitude of a communications signal falls below or is likely to fall below a predetermined magnitude minimum. Corrective pulses are generated, which are combined with the communications signal in the temporal vicinities when the amplitude of the communications signal falls below the predetermined magnitude minimum, to reduce the AMR of the communications signal. The corrective pulses are generated by a nonlinear filter that is configured to minimize the amount of in-channel distortion the corrective pulses introduce to the communications signal by their insertion while substantially preserving an out-of-band measure of quality of the communications signal.

The invention provides a method of computing positioning of a mobile device in a wireless network. This positioning method receives associated pings exchanged among a network of nodes. The pings include count stamps of ping transmit and receipt, and a count stamp of a message received by the network nodes from the mobile device. The method evaluates count stamps to determine clock differences among clocks of the network nodes. From the clock differences, the method determines pseudo ranges between the network nodes and the mobile device. The method determines location of the mobile device by evaluating the differences between ranges of candidate positions of the mobile device and the pseudo ranges. It minimizing a function of error associated with the position candidates to determine the mobile device's location.

The invention relates to a method for processing fluorescence signals emitted after excitation by radiation coming from a radiation source, by at least one fluorophore with a lifetime r in a surrounding medium, which signals are detected by detection means, and which method comprises the calculation, on the basis of detected fluorescence signals, of values of a variable, independent of τ, of the position or the distribution of fluorophore in said medium.

An analog to digital converter comprises an input for receiving an analog input signal; a plurality of outputs for outputting parallel bits of a digital signal that represents said analog input signal; and a neural network layer providing connections between each of said outputs respectively, each connection having an adjustable weighting. The synapses of the neural networks may be memristors and training may use online gradient descent.

Representative embodiments are directed to systems and methods for processing analyzer trace data of a multi-tone signal to more accurately estimate the frequencies and amplitudes of the tones of the multi-tone signal. Specifically, trace data may be processed to determine peak trace points. For each identified peak point, an error minimization algorithm minimizes the sum of differences between a plurality of trace points surrounding the respective peak point and the predicted Fourier transform through a raised-cosine window of a theoretical tone. The result of the minimization algorithm identifies the amplitude and frequency of a tone of the multi-tone signal with appreciable degree of accuracy.

Disclosed are method and apparatus for registering multiple sensors collecting data from multiple objects. Sensor registration is decomposed into a two-step procedure. The first step corrects systematic errors. The second step assigns objects measured by one sensor to objects measured by a second sensor. Systematic errors are corrected by generating the global minimum of a systematic error function. One embodiment for generating the global minimum uses a Continuous Greedy Randomized Adaptive Search Procedure.

There is disclosed a method of enhancing an image of a scene. The method divides the image into a plurality of frequency zones, and performs a plurality of Richardson and Lucy (RL) iterations of each of the frequency zones to obtain an enhanced image of the scene. The frequency zones and the plurality of RL iterations are determined using a Taguchi orthogonal array computation that minimizes radiometric errors in the enhanced image. The image may be Rayleigh sampled image obtained by a Rayleigh sampling system. A truth scene is not needed to use the method.

A non-invasive sensor suitable for measuring the depth of fat in animal tissue is described, the sensor generating and transmitting focussed discrete narrow band microwave signals into the tissue, receiving reflected microwave signals from the tissue and providing magnitude and phase information of the reflected microwave signals for a processing means to compute a value of the fat depth within the tissue.

A method for motion validation in a virtual frame motion estimator includes selecting motion vectors for a virtual frame C, located at a temporal position between a previous frame P and a subsequent frame N, and computation of an extended error function based on the error for a vector V passing from frame P, through a reference block in the virtual frame C, to frame N, and using additional validation measures computed from vectors −V and +V starting from co-located blocks in P and N respectively, thereby reducing the risk for selecting erroneous vectors for said reference blocks in the virtual frame C.