Abstract: Proper maintenance of Induction Machines (IM) is essential to ensure suitable performance, extend their service lifespan, and minimize the risk of catastrophic failures. Bearing failures are ...

In modern machine learning workflows, most signal processing tasks rely on Python's SciPy utilities. However, there is no Java library that replicates SciPy's behavior with comparable completeness and ...

Quantum computing is no longer a theoretical curiosity. It represents a paradigm shift in how information is processed, secured, and transmitted. As research advances from the noisy intermediate-scale ...

Abstract: Using the orthogonal transformation method, this paper presents the performance analysis of FFT, DHT, DCT, and DST for ECG data compression. When the heart muscle contracts or expands as a ...

Even though human experience unfolds continuously in time, it is not strictly linear; instead, it entails cascading processes building hierarchical cognitive structures. For instance, during speech ...

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. Zafar ...

[Stanislaw Pusep] has gifted us with the Pianolizer project – an easy-to-use toolkit for music exploration and visualization, an audio spectrum analyzer helping you ...