113 results about "Singular matrix" patented technology

The present invention is to provide a wireless communication system and a receiving device each capable of restraining a circuit scale and obtaining an excellent error rate performance. In a wireless communication system in which a transmitting device and a receiving device communicate in an orthogonal frequency division multiplexing system, the transmitting device includes a partition unit partitioning a transmission data sequence into a plurality of data streams and a mapping unit mapping the plurality of data streams to each of transmitting antennas by using, for a precoding matrix, columns, corresponding to a stream count of the plurality of data streams, of a right singular matrix acquired by singular value decomposition of a channel matrix, and the receiving device includes a decoding unit that Viterbi-decodes the received signals by weighting a path metric by using a weighting coefficient corresponding to a signal-to-noise ratio obtained from the present channel matrix.

The invention relates to a method for automatic identification and detection of defects in a composite material. The method comprises steps of: detecting the composite material to generate an infrared image by using infrared thermal wave nondestructive testing equipment; conducting phase space reconstruction on the infrared sequence image to determine defect position of the composite material and segment defect area of the image; conducting phase space reconstruction on the infrared sequence image with defect area and carrying out singular value decomposition to obtain a singular matrix, and left and right projection matrixes; carrying out matrix reconstruction again on the two projection matrixes; extracting algebraic characteristics of time information and space information of the defect through singular value decomposition; constructing mixing characteristic vector as characteristic symptom of the defect; and utilizing results from a nerve network classifier to complete the identification and classification determination. The method of the invention can realize automatic identification and detection on defect in the composite material, carry out rapid detection on damage type of the composite material and provide rapid detection means according to usage condition of the composite material, and has critical reality meaning and research value.

A method for estimating a coil sensitivity map for a magnetic resonance (MR) image includes providing a matrix A of sliding blocks of a 3D image of coil calibration data, calculating a left singular matrix V∥ from a singular value decomposition of A corresponding to τ leading singular values, calculating P=V∥V∥H, calculating a matrix S that is an inverse Fourier transform of a zero-padded matrix P, and solving MHcr=(Sr)Hcr for cr, where cr is a vector of coil sensitivity maps for all coils at spatial location r, andM=((11…100…0………00…0)(00…011…1………00…0)…(00…000…0………11…1)).

The invention provides a topic model-based software defect detection method and system. The topic model-based software defect detection method comprises the steps: enabling a static source code to generate a corresponding abstract syntax tree in space construction, enabling the abstract syntax tree to be mapped to a digitalized feature vector space, and constructing an original matrix; in semanticanalysis, constructing a defect mode library, carrying out singular matrix decomposition dimensionality reduction on the defect mode library to form a reconstructed matrix, carrying out cosine similarity calculation on the reconstructed matrix, and obtaining a defect detection result; and adding a machine learning algorithm for processing a natural language into software defect detection, and detecting hidden defects from semantic-level detection codes, so that the means of high-security software code defect detection is enriched, and whether a given code has defects similar to known defectsin a defect mode library or not is automatically detected, and the quality of software is further improved.