This framework enables quantitative predictions about how cellular systems convert frequency-encoded signals into precise ...

Anything with a laser has undeniable hacker appeal, even if the laser’s task is as pedestrian as sending data over a fiber ...

Nagpur hosted the 4th International Conference on the Paradigm Shifts in Communication, Embedded Systems, Machine Learning ...

Researchers at the National University of Singapore (NUS) have fabricated ultra-thin memtransistor arrays from ...

Nonlinear optical dynamics—intensity-dependent response of light upon interaction with materials under high-intensity light ...

Explore the advantages of space vector modulation for three-phase inverters, including improved performance and reduced ...

This design is intended to meet the growing demand for flexible, high-performance signal sources used in a variety of fields ...

AIM: To write a program for Frequency Modulation and Demodulation using SCILAB and to observe and measure the frequency deviation and the modulation index of FM. Frequency modulation is a type of ...

Since the early 2000s, ultra-wideband (UWB) technology has gradually found its way into a variety of commercial applications that require secure and fine-ranging capabilities. Well-known examples are ...

Abstract: Deep learning has been extensively used in radar signal modulation recognition, leading to significant improvements in accuracy. For supervised methods, the recognition performance mainly ...