Signal whiteness is a term used to describe a signal that has a flat frequency spectrum. In other words, the signal contains an equal amount of energy at all frequencies. When a signal is "white," it means it has no dominant frequency components and therefore appears as random noise. Engineers often use the concept of whiteness to analyze noise in signal processing systems since many signals in nature appear white, and by analyzing white signals, engineers can study the response of the systems they are analyzing. Signal whiteness is an essential aspect of signal processing, and its manipulation has many practical applications in telecommunications, data transmission, and noise reduction.
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