  The Fast Fourier Transform (FFT) is a fundamental tool for signal analysis,
widely used across various fields. However, traditional FFT methods encounter
challenges in adjusting the frequency bin interval, which may impede accurate
spectral analysis. In this study, we propose a method for adjusting the
frequency bin interval in FFT by introducing a parameter $\alpha$. We elucidate
the underlying principles of the proposed method and discuss its potential
applications across various contexts. Our findings suggest that the proposed
method offers a promising approach to overcome the limitations of traditional
FFT methods and enhance spectral analysis accuracy.
