STEM与日常科技·英语30篇（3）
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Fourier Transform Intuition in Signal Processing
傅里叶变换在信号处理中的直觉
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Any repeating signal—from a guitar note to Wi-Fi data—can be broken down into pure sine waves of different frequencies and strengths.
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The Fourier transform is the mathematical tool that reveals which frequencies are present and how much each contributes.
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Noise-cancelling headphones use it to identify incoming low-frequency rumbles, then generate opposing waves to cancel them.
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JPEG image compression discards high-frequency details our eyes barely notice—keeping only essential Fourier components.
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Your voice call stays clear over weak signals because phones transmit dominant vocal frequencies, not raw audio waveforms.
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Earthquake sensors apply Fourier analysis to separate dangerous slow waves from harmless high-frequency vibrations in real time.
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It’s like hearing an orchestra and instantly knowing which instruments play loud, soft, high, or low—all at once.
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Rather than seeing signals as wiggles on a screen, Fourier thinking sees them as recipes of underlying tones.