jSciPy: Java Scientific Computing Library with SciPy-like APIs for JVM and Android
By
hissain
Sesame, salt, and substance. A flagship bake.
Summary
jSciPy is a Java scientific computing library inspired by Python's SciPy, designed for JVM and Android platforms. It provides high-performance implementations of signal processing algorithms (Butterworth, Chebyshev, Elliptic, Bessel, FIR filters), transformations (FFT, Hilbert Transform, Welch PSD), and other scientific computing functions for machine learning and data science applications.
Key quotes
· 4 pulledjSciPy is a comprehensive Java Scientific Computing and Signal Processing Library designed for Machine Learning on the JVM and Android.
Inspired by Python's SciPy, it provides high-performance implementations of essential algorithms.
It currently includes modules for: Signal Processing: Butterworth, Chebyshev, Elliptic, Bessel, and FIR (firwin) filters, Window Functions, 2D Convolution, 2D Cross-Correlation, Savitzky-Golay smoothing, Peak detection, Detrending, Median Filter.
Transformations: FFT (Fast Fourier Transform), Hilbert Transform, Welch PSD, Spectrogram, Periodogram, Convolution, D
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