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

1189 results about "Spectral analysis" patented technology

Spectral analysis or Spectrum analysis is analysis in terms of a spectrum of frequencies or related quantities such as energies, eigenvalues, etc.In specific areas it may refer to: Spectroscopy in chemistry and physics, a method of analyzing the properties of matter from their electromagnetic interactions; Spectral estimation, in statistics and signal processing, an algorithm that estimates ...

Augmented classical least squares multivariate spectral analysis

A method of multivariate spectral analysis, termed augmented classical least squares (ACLS), provides an improved CLS calibration model when unmodeled sources of spectral variation are contained in a calibration sample set. The ACLS methods use information derived from component or spectral residuals during the CLS calibration to provide an improved calibration-augmented CLS model. The ACLS methods are based on CLS so that they retain the qualitative benefits of CLS, yet they have the flexibility of PLS and other hybrid techniques in that they can define a prediction model even with unmodeled sources of spectral variation that are not explicitly included in the calibration model. The unmodeled sources of spectral variation may be unknown constituents, constituents with unknown concentrations, nonlinear responses, non-uniform and correlated errors, or other sources of spectral variation that are present in the calibration sample spectra. Also, since the various ACLS methods are based on CLS, they can incorporate the new prediction-augmented CLS (PACLS) method of updating the prediction model for new sources of spectral variation contained in the prediction sample set without having to return to the calibration process. The ACLS methods can also be applied to alternating least squares models. The ACLS methods can be applied to all types of multivariate data.
Owner:NAT TECH & ENG SOLUTIONS OF SANDIA LLC

Methods and systems for identification of DNA patterns through spectral analysis

Spectrogram extraction from DNA sequence has been known since 2001. A DNA spectrogram is generated by applying Fourier transform to convert a symbolic DNA sequence consisting of letters A, T, C, G into a visual representation that highlights periodicities of co-occurrence of DNA patterns. Given a DNA sequence or whole genomes, with this method it is easy to generate a large number of spectrogram images. However, the difficult part is to elucidate where are the repetitive patterns and to associate a biological and clinical meaning to them. The present disclosure provides systems and methods that facilitate the location and/or identification of repetitive DNA patterns, such as CpG islands, Alu repeats, tandem repeats and various types of satellite repeats. These repetitive elements can be found within a chromosome, within a genome or across genomes of various species. The disclosed systems and methods apply image processing operators to find prominent features in the vertical and horizontal direction of the DNA spectrograms. Systems and methods for fast, full scale analysis of the derived images using supervised machine learning methods are also disclosed. The disclosed systems and methods for detecting and/or classifying repetitive DNA patterns include: (a) comparative histogram method, (b) feature selection and classification using support vector machines and genetic algorithms, and (c) generation of spectrovideo from a plurality of spectral images.
Owner:KONINKLIJKE PHILIPS ELECTRONICS NV

Abnormal engine sound fault on-line diagnostic system and diagnostic method

The invention provides an abnormal engine sound fault on-line diagnostic system and diagnostic method. The diagnostic system comprises a sound signal sensor, a sound signal collecting and storing module and an analysis and diagnosis module. The analysis and diagnosis module comprises a spectral analysis and diagnosis module, a wavelet analysis and diagnosis module and a psychological acoustics analysis and diagnosis module, wherein the spectral analysis and diagnosis module is used for obtaining frequency spectrum parameters through the spectral analysis, the wavelet analysis and diagnosis module is used for obtaining energy parameters through the wavelet analysis, and the psychological acoustics analysis and diagnosis module is used for obtaining psychological acoustics parameters through the psychological acoustics analysis. The spectral analysis and diagnosis module, the wavelet analysis and diagnosis module and the psychological acoustics analysis and diagnosis module are used for extracting the frequency spectrum parameters, the energy parameters and the psychological acoustics parameters respectively to show abnormal sound fault characteristics. The abnormal engine sound fault on-line diagnostic system replaces manual work to carry out on-line diagnostic working on the abnormal engine sound fault, the diagnostic accuracy and consistency are high, the abnormal sound fault diagnosis requirements for real-time performance, fastness and accuracy of an engine production line can be met, and the working efficiency of an engine detection line is improved.
Owner:CHONGQING CONSTR ELECTROMECHANICAL CO LTD
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