Aliasing and Nyquist-Shannon sampling theorem
Signal processing is an integral part of various engineering disciplines, including mechanical, electronic, electrical, mechatronics, chemical, and even civil engineering. Taking my own field, mechanical engineering, as an example, we find ourselves immersed in a world driven by automation. Our focus now extends to even more advanced levels of automation, incorporating technologies like machine learning and self-driving vehicles. Achieving these goals demands a diverse range of technologies. However, it's crucial that future advancements stem not just from the allure of cutting-edge technology, but from a solid foundation of established and reliable innovations. Currently, much research centers around enhancing the sensory perception of robots, involving new sensors, LiDAR, and cameras, as well as fortifying the computational "brain" with advanced semiconductors or GPUs. Amidst these advancements, it's essential to acknowledge the existing technologies such as sensor...