A Java Library for Digital Signal Processing
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Updated
Aug 25, 2024 - Java
A Java Library for Digital Signal Processing
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.
10th place solution for Google Smartphone Decimeter Challenge at kaggle.
A librosa STFT/Fbank/mfcc feature extration written up in PyTorch using 1D Convolutions.
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.
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。
Tips for best practices with filterbanks
The simplest way to demix stereo content with decent quality and low latency.
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.
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.
Implements the Sigma Transform in MATLAB/Octave
Basic speech processing implementations
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.
Trabajo de Fin de Máster
Here are some examples of MATLAB programs for signal processing.
Javascript Translation of https://sites.google.com/site/mikescoderama/pitch-shifting
Implements the Sigma Transform in C++
Efficient computation of the zeros of the Bargmann transform under additive white noise.
Here are some examples of Julia programs for signal processing.
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