A Java Library for Digital Signal Processing
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Updated
Aug 25, 2024 - Java
A Java Library for Digital Signal Processing
Audio visualization in Rust
Zafar's Audio Functions in Julia for audio signal analysis: STFT, inverse STFT, CQT kernel, CQT spectrogram, CQT chromagram, MFCC, DCT, DST, MDCT, inverse MDCT.
Zafar's Audio Functions in Matlab for audio signal analysis: STFT, inverse STFT, mel filterbank, mel spectrogram, MFCC, CQT kernel, CQT spectrogram, CQT chromagram, DCT, DST, MDCT, inverse MDCT.
Zafar's Audio Functions in Python for audio signal analysis: STFT, inverse STFT, mel filterbank, mel spectrogram, MFCC, CQT kernel, CQT spectrogram, CQT chromagram, DCT, DST, MDCT, inverse MDCT.
Tips for best practices with filterbanks
Digital Signal processing Algorithms for Harmonics & Transients Simulation and Analysis
Trabajo de Fin de Máster
Python code “Jupyter notebooks” for the paper entitled " Similarity-Based Predictive Maintenance Framework for Rotating Machinery" has been presented in the Fifth International Conference on Communications, Signal Processing, and their Applications (ICCSPA’22), Cairo, Egypt, 27-29 December 2022. Techniques used: statistical analysis, FFT, and STFT.
Implementing several signal processing techniques for image and audio signal denoising
A librosa STFT/Fbank/mfcc feature extration written up in PyTorch using 1D Convolutions.
10th place solution for Google Smartphone Decimeter Challenge at kaggle.
Communication Lab (2019 Spring)
Efficient computation of the zeros of the Bargmann transform under additive white noise.
Familiarization with Higher Order Statistics (Spectra) and ARMA (Autoregressive Moving Average) models. Time Frequency Analysis techniques (Short Time Fourier, Hilbert-Huang and Wavelet Transform) are implemented in ECG signals.
Here are some examples of Julia programs for signal processing.
Here are some examples of MATLAB programs for signal processing.
Javascript Translation of https://sites.google.com/site/mikescoderama/pitch-shifting
Source code for my research: PM2.5 Density Prediction based on a Two-Stage Rolling Forecast Model using LightGBM
只要蘊藏著想成為真物的意志,偽物就比真物還要來得真實。
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