Publications

Abstract : As the electronics industry and user needs are developing rapidly, the design of embedded systems should match their standards. Every equipment we encounter with our day-to-day life is getting automated, the world is getting smarter day by day. As the usage of sensors is increasing, the processor should be capable of handling an enormous amount of data. Our work will focus on designing and implementing an FPGA (Field Programmable Gate Array) based DAQ (Data Acquisition) system. Sensors and FPGA both are independent research areas, their combination is an emerging research area. The prime reason to choose FPGA over other MCUs (Micro-controller units) is the top processing speed. The system mainly includes sensors, a DAQ device, and signal processing (Denoising). Noise affects real-time systems. Noise is random and unpredictable, so noise reduction processing is necessary to get an accurate measurement. Denoising algorithms are very complex, so FPGAs are better than MCUs. The proposed system fetches the real-time signals from sensors, performs the digitization, and the digitized data can process accordingly. We observe it that only a few works are available for real-time applications.