Bad Fast Fourier Transfer (FFT) data captures can cause you to misunderstand the true performance of your analog-to-digital converter (ADC). Some engineers like to coherently sample and capture data ...

在数字数据采集过程中，传感器输出模拟信号，这些信号必须经过数字化处理才能被计算机处理。计算机无法像传感器那样存储连续的模拟时间波形，因此它会将信号分解成离散的“片段”或“样本”来存储。数据记录在时域中，但通常需要进行傅里叶变换才能 ...

Design engineers don't always need scopes whose capabilities go way beyond the ordinary. Many design-lab benches can do with instruments whose bandwidth is measured not in gigahertz but in hundreds or ...

补零是一种有效的技术，可以改善 FFT结果的可视化效果，并可能加快计算速度。然而，重要的是要理解，它不会提高原始信号的基频分辨率，如果使用不当，可能会引入伪影。 快速傅里叶变换(FFT)中为什么要补零？ 零填充允许使用更长的FFT，这将产生更长的FFT ...

A new algorithm performs Fourier transforms using a minimal number of samples. The fast Fourier transform, one of the most important algorithms of the 20th century, revolutionized signal processing.

When evaluating the dynamic performance of precision analog-to-digital converters (ADCs) using fast Fourier transform (FFT) analysis, coherent sampling typically is used to accurately measure the ...