  The Discrete Fourier Transform (DFT) is widely utilized for signal analysis
but is plagued by spectral leakage, leading to inaccuracies in signal
approximation. Window functions play a crucial role in mitigating spectral
leakage by providing weighting mechanisms for discrete signals. In this paper,
we introduce a novel window type based on exponential function, allowing for
adjustable parameters and diverse variations. We present the formulation,
properties, and motivation behind the design of the new window functions.
Additionally, we analyze their behavior and evaluate their performance by
comparing them with mainstream window functions using six parameters. Our
findings demonstrate that these new window functions exhibit outstanding
flexibility and versatility in signal analysis.
