Visual Signal Processing for Frequency Analysis
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Solution Overview
Problem
Traditional signal processing techniques are inadequate for identifying patterns in transient, time-varying signals with low signal-to-noise ratios and for detecting Fourier components, requiring extensive processing.
Innovation Solution
A method and system for visual signal processing that subdivides signals into sets of data, assembles them into matrices with colored cells representing amplitude, and uses image detection algorithms to determine frequency information, including fundamental and harmonic frequencies, and transforms signals from the time domain to the frequency domain.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional signal processing techniques are used, then extensive processing is required to identify patterns in transient data, but the processing efficiency and capability to detect frequency components remains inadequate
Solution Approach 1:
The patent replaces traditional mechanical signal processing methods with visual signal processing techniques. The signal is transformed into a visual representation where frequency information is encoded as spatial patterns, allowing image processing algorithms to efficiently detect frequency components that would require extensive traditional processing.
Solution Approach 2:
The patent transforms the signal from a one-dimensional time series into a two-dimensional visual representation. By mapping frequency components to spatial dimensions in the image, the system enables parallel processing and visual pattern recognition, significantly improving detection efficiency compared to traditional sequential processing methods.
2Productivity
If traditional signal processing techniques are used, then extensive processing is required for Fourier component analysis, but the ability to detect time-varying Fourier components remains inadequate
Solution Approach 1:
The patent substitutes traditional Fourier analysis algorithms with visual processing techniques. The signal is represented as an image where frequency components are visually distinguishable patterns, enabling rapid detection of time-varying Fourier components through image recognition rather than computationally intensive mathematical transformations.
Solution Approach 2:
The patent uses color information in the visual representation to encode frequency characteristics. Different frequency components are represented by distinct color patterns or color variations in the image, allowing the system to rapidly identify and distinguish time-varying Fourier components through color-based pattern recognition.
Data Source
AI summary
A method for visual signal processing of a signal includes subdividing a signal, by a signal processor, into a selected number (n) of sets of data. The method also includes assembling the signal, by the signal processor, into an image. The image includes a matrix. The matrix includes a plurality of cells in a predetermined number (m) of columns and the selected number (n) of rows. Each cell of the matrix includes a particular color corresponding to an amplitude of a sample of the signal represented by the cell. The method also includes analyzing the image, by the signal processor, using an image detection algorithm to determine frequency information of the signal.