Signal Cyclic Spectrum Diagram Generated Using Time-Domain Smoothing FAM Method
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Resource Overview
Implementation of signal cyclic spectrum visualization using the Time-Domain Smoothing FAM (Fast Algorithm for Mode Decomposition) approach, including both FAM subfunctions and the main plotting function with code-level implementation details
Detailed Documentation
The signal cyclic spectrum diagram is generated using the Time-Domain Smoothing FAM (Fast Algorithm for Mode Decomposition) method, which comprises FAM subfunctions and a main plotting function. The Time-Domain Smoothing FAM method is a modal decomposition technique based on fast algorithms that efficiently separates spectral components of signals and visualizes them through cyclic spectrum diagrams.
The FAM subfunctions form the core computational component, implementing local analysis and modal decomposition by processing time-domain signal information through sliding window techniques and optimized frequency domain transformations. These subfunctions typically include signal preprocessing, window function applications, and fast Fourier transform implementations with smoothing parameters.
The main plotting function handles the visualization of cyclic spectrum diagrams, transforming the FAM subfunction outputs into comprehensive graphical representations using matrix plotting techniques and color mapping algorithms. This function implements features like amplitude scaling, frequency axis labeling, and temporal progression displays to create intuitive spectral visualizations.
By employing the Time-Domain Smoothing FAM method, researchers can achieve more accurate and intuitive observation of signal spectral characteristics, enabling deeper understanding of both time-domain and frequency-domain properties through computationally efficient algorithms and clear visual representations. The implementation typically involves parameter optimization for smoothing operations and efficient memory management for handling large signal datasets.
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