What is FFT in signal processing?
An example of an AI chatbot conversation about FFT in signal processing.
What is FFT in signal processing?
FFT stands for Fast Fourier Transform. It's an algorithm to compute the Discrete Fourier Transform (DFT) efficiently.
How does FFT improve the performance of signal processing?
FFT reduces the computational complexity from O(N^2) to O(N log N), making it much faster for large datasets.
Can you explain how FFT is used in real-world applications?
Sure! FFT is used in audio signal processing, image analysis, and telecommunications to analyze frequency components.
What are some limitations of using FFT?
Some limitations include sensitivity to noise and the assumption of periodic signals, which may not always hold.
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