What is FFT and how is it used in signal processing?
FFT stands for Fast Fourier Transform. It's an algorithm to compute the Discrete Fourier Transform (DFT) efficiently.
Can you explain why FFT is important in analyzing signals?
FFT is crucial because it allows us to analyze the frequency components of signals quickly, making it essential in various applications like audio processing and telecommunications.
What are some practical applications of FFT?
Some practical applications include audio signal processing, image analysis, and solving partial differential equations.
Are there any limitations to using FFT?
Yes, FFT assumes the signal is periodic and can struggle with non-stationary signals or those with abrupt changes.
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