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By: V Basil Hans.
Research professor , Srinivas University in Mangalore.
Recent years have seen big improvements in signal systems, thanks to fast progress in communication technologies, artificial intelligence, and hardware capabilities. Signal systems are very important for modern technology. They are the basis for many different uses, including telecommunications, transportation, industrial automation, and medical diagnostics. Signal systems are all about making, sending, processing, and understanding signals, whether they are analogue or digital, so that information may be shared easily. As the need for quicker, more reliable, and smarter systems grows, both the theoretical and practical sides of signal processing have made great strides. This article talks about new things that have happened in several areas of signal systems, such as digital signal processing (DSP), adaptive filtering, wireless communication protocols, and smart transportation systems. The focus is on how to combine machine learning methods for real-time signal analysis, make spectral efficiency better, and come up with new modulation and coding schemes. The study also talks about new technologies like 5G and 6G signal systems, software-defined radios (SDRs), and how quantum computing can be used in signal processing. These advancements not only improve the performance and dependability of contemporary signal systems but also create new opportunities for multidisciplinary research and industrial applications.
Adaptive Systems, Machine Learning, Communication Technologies, Software-Defined Systems, and Signal Processing
Citation:
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