Expertly unraveling the mysteries and allure of signals, this book explores their profound impact on modern life. From classical techniques to cutting-edge advancements, this comprehensive exploration delves into fundamental concepts such as amplitude, frequency, and phase. With meticulous research and insightful analysis, the author guides readers through topics like Fourier analysis, sampling, quantization, and signal filtering.The book highlights the dynamic relationship between time and frequency domains, statistical signal processing techniques, and the fascinating realm of non-classical signal processing, including wavelet transforms and compressed sensing, and explores diverse applications in audio, speech, image and video processing, biomedical analysis, communications, and sensor fusion.Highlighting emerging trends and future directions, the book illuminates the challenges, opportunities, and potential breakthroughs in signal processing research. Classical signal processing is a branch of electrical engineering and applied mathematics that deals with the analysis, modification, and synthesis of signals. It encompasses various techniques for transforming, filtering, and analyzing signals to extract useful information or enhance their quality. The main goal of classical signal processing is to improve the performance and efficiency of systems that rely on signals, such as communication systems, audio and video processing, and control systems.