Abstract: This tutorial paper discusses an efficient approach that can be adopted to analyze complex analog circuits. The approach is specifically designed to show the graphical interdependencies ...

DDSP is a library of differentiable versions of common DSP functions (such as synthesizers, waveshapers, and filters). This allows these interpretable elements to be used as part of an deep learning ...

Flow cytometry has become a key analytical technique in clinical trials. Through its multiparametric analysis, single-cell resolution, and high-throughput evaluation capabilities, flow cytometry can ...

Learn how to measure the magnitude of price changes in 11 minutes Gordon Scott has been an active investor and technical analyst or 20+ years. He is a Chartered Market Technician (CMT). Vikki ...

Techniques from artificial intelligence have been widely applied in optical communication and networks, evolving from early machine learning (ML) to the recent deep learning (DL). This paper focuses ...

A growing body of work underlines striking similarities between biological neural networks and recurrent, binary neural networks. A relatively smaller body of work, however, addresses the similarities ...

This tutorial is intended for Software Defined Radio (SDR) beginners wishing to decode LoRa messages using gr-lora. We will be using a LoRa modem under our control in order to transmit messages, and ...

Software Defined Radio (SDR)–the ability to process radio signals using software instead of electronics–is undeniably fascinating. However, there is a big gap from being able to use off-the-shelf SDR ...

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