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Generate realistic test data in Python fast. No dataset required

Learn the NumPy trick for generating synthetic data that actually behaves like real data.
IEEE

Hardware Implementation of Multi-LFSR Pseudo Random Number Generator

Abstract: This paper presents the implementation of a hardware pseudo-random number generator (PRNG) using multiple linear feedback shift registers (LFSRs) for generating pseudo-random numbers and ...
IEEE

Efficient Pseudo Random Number Generator (PRNG) Design on FPGA

Abstract: Random Number Generators (RNGs) are substantially used in many security domains, providing a fundamental source of unpredictability essential for tasks such as cryptography, simulations, and ...
Hacker

Democratize Financial Modeling With Perplexity Pro (100+ Prompts & Templates for Market Analysis)

Sid Saladi is a seasoned product leader with over a decade of experience in product management and technology. Sid Saladi is a seasoned product leader with over a decade of experience in product ...
IEEE

FPGA implementation of Chaotic pseudo-random number generator for cryptographic applications

Abstract: Reconfigurable systems often require secret keys for encrypting and decrypting data. To address this need, applications requiring high security typically use physical unclonable functions ...
IEEE

A Lightweight Hybrid Random Number Generator With Dynamic Entropy Injection

Abstract: This paper presents a lightweight hybrid random number generator (HRNG), implemented and evaluated on a Field-Programmable Gate Array (FPGA). The proposed design enhances security and ...