6 results about "Fft fast fourier transform" patented technology

This invention discloses a mixed hepatocyte terahertz quantitative detection system, electronic device, and medium, comprising: a spectral preprocessing module for acquiring a mixed hepatocyte time-domain spectrum and converting it into a mixed hepatocyte terahertz frequency-domain spectrum using a fast Fourier transform; calculating the refractive index and absorption coefficient to obtain frequency-domain signals of the refractive index and absorption coefficient, and processing them using Gram angle sum field and Gram angle difference field to obtain Gram angle sum field map and Gram angle difference field map; an image feature extraction module for extracting gradient features from the Gram angle sum field map and Gram angle difference field map using gradient histograms; extracting grayscale features from the Gram angle sum field map and Gram angle difference field map using grayscale histograms; fusing the gradient features and grayscale features to obtain image features; and a hepatocyte cancer cell content quantitative detection module for inputting the image features into a pre-trained hepatocyte cancer cell content quantitative detection model to obtain the proportion of hepatocyte cancer cells.

This invention proposes a tremor symptom prediction system and method. The prediction system includes: a light-emitting unit configured to emit a detection light to illuminate a skin area of ​​a subject, wherein the detection light is partially reflected by the skin area to form reflected light, and / or partially transmitted by the skin area to form transmitted light; a photosensitive unit configured to receive the reflected light and / or the transmitted light to generate an intensity signal of the reflected light and / or the transmitted light in the time domain; and a signal processing unit configured to process and analyze the intensity signal in the time domain, wherein the signal processing unit uses a fast Fourier transform to convert the intensity signal in the time domain into an intensity signal in the frequency domain, and determines whether the intensity of the intensity signal in the frequency domain exceeds a threshold within a first default frequency range to determine whether the subject has tremor symptoms. This invention allows subjects to easily detect tremor symptoms.

Systems and methods for rendering a virtual three-dimensional space scene that includes location of one or more sources of intangible attributes are described. An exemplar method includes: (i) obtaining a first type of dataset; (ii) obtaining a second type of dataset and an offset distance; (iii) performing a fast Fourier transformation the second type of dataset to produce a frequency domain dataset; (iv) identifying one or more of the intangible attribute signals in a real space; and (v) spatializing the first type of dataset and offset to create a first type of spatialized dataset and spatialized offset; (vi) spatializing the second type of dataset to create a second type of spatialized dataset; (vii) aligning, using the spatialized offset, the first type of spatialized dataset with the second type of spatialized dataset to create an enhanced three-dimensional spatialized environment; and (viii) rendering the enhanced three-dimensional spatialized environment on a display component.

According to an embodiment, an electronic device may include: a memory; and at least one processing circuit for Orthogonal Frequency Division Multiplexing (OFDM) demodulation, for changing the domain of a symbol sequence from a first domain to a second domain. The at least one processing circuit may be configured to acquire a first symbol sequence of the first domain based on a received signal acquired from an external electronic device. The at least one processing circuit may be configured to acquire a second symbol sequence of the second domain by performing a Fast Fourier Transform (FFT) operation using cyclic shift operations on the first symbol sequence. The FFT operation using cyclic shift operations may include changing the value of the most significant bit (MSB) of the bit sequence of each FFT index in the FFT index of the second domain from 0 to 1 or from 1 to 0, depending on the FFT size.

The present application provides a polyvinyl alcohol film with less thickness variation, and further provides a polarizing film with excellent uniformity of polarizing characteristics, particularly uniformity of no unevenness of polarization. A polyvinyl alcohol film with a length of 2 km or more, wherein when a thickness variation (μm) in a flow direction (MD) is subjected to a fast Fourier transform, a Partial Overall value (thickness POA value) of the thickness contained in a range of a spatial frequency (A) of 0.02 to 0.25 / mm is 0.1 μm or less. 0.02‑0.25 ​

A lane line detection method based on a lane line detection model, a training method of the lane line detection model, an electronic device and a storage medium, relate to the technical field of computer vision and deep learning. The lane line detection model comprises a feature extraction network and a prediction module, and the lane line detection method comprises: extracting image features of a to-be-processed image through the feature extraction network; determining an initial implicit function of a lane line in the to-be-processed image through the prediction module based on the image features, and generating an elastic lane graph based on the initial implicit function; and determining a predicted lane line in the to-be-processed image according to a zero horizontal contour line of the elastic lane graph. The training method of the lane line detection model is: training a neural network through an elastic interaction energy loss function, simplifying gradient calculation of the loss function by using fast Fourier transform, so as to obtain an accurate representation of a target lane line by using parameters of an updated elastic lane graph. The lane line detection model can accurately identify lanes with complex geometric structures and shapes.