Patents
Literature
Patsnap Copilot is an intelligent assistant for R&D personnel, combined with Patent DNA, to facilitate innovative research.
Patsnap Copilot

49 results about "Optimized geometry" patented technology

The objective of a geometry optimization is to find the point at which the energy is at a minimum because this is where the molecule is most stable and most likely to be found in nature. One way to observe the effect of different geometries on energy level is to calculate a potential energy surface (PES).

Methodology and method and apparatus for signaling with capacity optimized constellations

Communication systems are described that use geometrically shaped constellations that have increased capacity compared to conventional constellations operating within a similar SNR band. In several embodiments, the geometrically shaped is optimized based upon a capacity measure such as parallel decoding capacity or joint capacity. In many embodiments, a capacity optimized geometrically shaped constellation can be used to replace a conventional constellation as part of a firmware upgrade to transmitters and receivers within a communication system. In a number of embodiments, the geometrically shaped constellation is optimized for an Additive White Gaussian Noise channel or a fading channel. In numerous embodiments, the communication uses adaptive rate encoding and the location of points within the geometrically shaped constellation changes as the code rate changes. One embodiment of the invention includes a transmitter configured to transmit signals to a receiver via a communication channel, wherein the transmitter, includes a coder configured to receive user bits and output encoded bits at an expanded output encoded bit rate, a mapper configured to map encoded bits to symbols in a symbol constellation, a modulator configured to generate a signal for transmission via the communication channel using symbols generated by the mapper. In addition, the receiver includes a demodulator configured to demodulate the received signal via the communication channel, a demapper configured to estimate likelihoods from the demodulated signal, a decoder that is configured to estimate decoded bits from the likelihoods generated by the demapper. Furthermore, the symbol constellation is a capacity optimized geometrically spaced symbol constellation that provides a given capacity at a reduced signal-to-noise ratio compared to a signal constellation that maximizes dmin.
Owner:CONSTELLATION DESIGNS LLC

Geometric parameterization modeling method for optimizing variable-complexity shape

The invention discloses a geometric parameterization modeling method for optimizing a variable-complexity shape, which is a geometric parameterization modeling method for optimizing the shape of a complex body, aims to solve the problem that the prior geometric parameterization modeling method has difficult interdisciplinary coupling modeling and high running cost, and comprises the following steps: constructing a control mesh V<con> containing a body to be optimized in three-dimensional space, wherein the control mesh V<con> consists of triangular mesh units, the node of the control mesh is expressed as P[x], wherein x is a two-dimensional parameter of the V<con>; setting v(interior) as a point on the body to be optimized, and projecting all the nodes p[x] of the control mesh to a unit ball S(Vinterior) taking the vinterior as the ball center; and defining a function f[x] on the p[x], wherein the weighting w[x, v(interior)] function of the f[x] is designed as 1/|p[x]-v(interior)| to integrate w[x, v(interior)]f[x] on a unit ball S(interior) so as to obtain a formula with an affine invariant property, and the formula is valued as f[x]=p[x] to obtain a geometric parameterization model of an optimized variable-complexity shape.
Owner:AERODYNAMICS NAT KEY LAB

Urban two-dimensional seismic obstacle-crossing observation system optimized geometry-variable design method

The present invention discloses an urban two-dimensional seismic obstacle-crossing observation system optimized geometry-variable design method and belongs to the urban geophysical exploration technical field. The invention aims to solve the problem that the influence of an obstacle section on a normal observation system cannot be quickly and efficiently determined in the prior art can be solved. According to the method, received permutations in a single-shot conventional seismic observation system to be processed are divided into at least one effective permutation segment according to positional relationships between the position of each detection point and the range of each of all obstacle segments; and the comprehensive planar graph of the seismic observation system is drawn according to the positions of shot points and the effective permutation segments, and the number of times of coverage of a common midpoint is put into statistics according to the planar graph of the seismic observation system, wherein the number of times of coverage of the common midpoint is the number of times of repeated observation which is formed by identical reflection points on an underground interface which are located between the shot points and the detection points.
Owner:GEOPHYSICAL EXPLORATION CENT CHINA EARTHQUAKE ADMINISTATION

Panoramic unmanned aerial vehicle image splicing method

The invention discloses a panoramic unmanned aerial vehicle image splicing method. The method comprises the steps of image input, image feature extraction, image feature matching, image matching, image splicing and spliced image output. The image input is an image shot by a plurality of unmanned aerial vehicles at the same time, and the image feature extraction utilizes an improved geometric algebra-scale invariant feature conversion algorithm an adaptive threshold algorithm is adopted for image feature matching, and a homography estimation algorithm which is robust through random sampling consistency is adopted for image matching. According to the method, an optimized geometric algebra scale invariant feature conversion algorithm is adopted to realize rapid feature extraction and featurematching; The limitation problems of large calculation amount and high splicing time cost are solved by applying a self-adaptive threshold method through large feature point extraction and splicing work; A random sample consistency method is adopted to estimate image transformation parameters, and a solution with the best consistency with data is determined. According to the image splicing method,the alignment speed of the images is greatly increased, and a satisfactory image splicing result is generated.
Owner:STATE GRID HENAN ELECTRIC POWER COMPANY ZHENGZHOU POWER SUPPLY +2
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products