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Information Science
From the basics of signal processing to the latest theory! Signal processing is a technology field that is indispensable for digitizing signals (sound, images, images, etc.) obtained from various sensors (cameras, microphones, etc.), processing them with computers, and transmitting them instantly, as well as distributing and sharing them over the Internet. Signal processing makes it easy for humans to hear, see, and understand, and also makes it possible for humans and machines to perform more advanced analysis and judgment. IoT and Big Data also assume that large-scale data (signals) from numerous sensors in the real world can be recorded, stored, and analyzed in real time, enabling visualization, visualization, and imaging. It is no exaggeration to say that a modern smart society cannot be established without signal processing. This book is written with the assumption that it is a textbook for signal processing at the undergraduate level, but it also includes content at the graduate level. Chapter 13, "New Signal Processing," also refers to deep neural networks, which are the foundation of deep learning, and graph signal processing, which has attracted attention in recent years. In addition, many questions and answers are provided in the text.