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Principal Component Analysis · psambit9791/jdsp Wiki · GitHub
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Principal Component Analysis
Sambit Paul edited this page Dec 2, 2023
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We apply the Principal Component Analysis on multi-dimensional data to reduce the dimensions while retaining maximal information by determining which features have maximum variance.
PCA p1 = new PCA(raw_signal, 1); // raw_signal of type double, output will be of 1 dimension
p1.fit();
double[][] output = p1.transform();
Wiki
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Filters
- IIR Filters
- FIR Filters
- Kernel-Based Filter
- Adaptive Filters
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Signals
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Peak Detection
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Transformations
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Speech
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Windowing
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