Singular Value Decomposition, Wavelet Denoising, Zoom Refinement, Spectral Kurtosis, and Filter Design
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Detailed Documentation
In this article, I'd like to share some recent achievements with everyone. Beyond covering key concepts like Singular Value Decomposition (for dimensionality reduction and noise removal), Wavelet Denoising (using thresholding techniques for signal cleaning), Zoom Refinement (high-resolution spectral analysis), Spectral Kurtosis (for transient detection in signals), and Filter Design (digital filter implementation techniques), I hope to provide more detailed information about practical implementations. These methods typically involve MATLAB or Python implementations using libraries like scipy.signal for filter design, pywt for wavelet transforms, and custom algorithms for spectral analysis. Let's encourage each other in our technical pursuits!
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