Scientists have developed an exact approach to a key quantum error correction problem once believed to be unsolvable, and have shown that what appeared to be hardware-related errors may in fact be due ...

Learn how gradient descent really works by building it step by step in Python. No libraries, no shortcuts—just pure math and code made simple.

This project provides a basic EEG signal preprocessing pipeline implemented in MATLAB. It includes steps such as bandpass filtering, artifact removal, power spectral density (PSD) computation, and ...

Abstract: In this paper, we consider a direct-sequence code-division multiple-access (DS-CDMA ... and this technique is then further incorporated into a stochastic gradient algorithm for achieving ...

As part of an investigation into stream-based network processors, we have implemented MMH, a family of almost-universal hash functions for message authentication, on a SIMD stream processor (Imagine).

Some functionality of this package relies on third-party libraries that are not installed by default. These optional dependencies (or "package extras") are specified during installation using the ...