Signal Processing and Time Series

Signal processing is a subdomain of electrical engineering and applied mathematics. It covers the analysis and processing of time-related variables or variables that change over time, such as analog and digital signals. Analog signals are non-digitized signals, such as radio or telephone signals. Digital signals are digitized, discrete, time-sampled signals, such as computer and digital device signals. Time-series analysis is the category of signal processing that deals with ordered or sequential lists of observations. This data can be ordered hourly, daily, weekly, monthly, or annually. The time component in the time series plays a very important role. We need to extract all the relations in the data with respect to time. There are lots of examples that are related to time-series analysis, such as the production and sales of a product, predicting...