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# PyTorch torch.kaiser_window Function * * PyTorch torch Reference Manual](#) `torch.kaiser_window` is a PyTorch function for generating a Kaiser window. A Kaiser window is an adjustable window function constructed using Bessel functions, allowing parameter control over the trade-off between main lobe width and side lobe attenuation. ### Function Definition torch.kaiser_window(window_length, periodic=True, beta=12.0, dtype=None, layout=torch.strided, device=None, requires_grad=False) * * * ## Usage Example ## Example import torch # Create a Kaiser window of length 512 with default beta=12.0 window = torch.kaiser_window(512) print("Kaiser window shape:", window.shape) print("First 5 values of window:", window[:5]) # Custom beta parameter (larger beta reduces side lobes but widens main lobe) window2 = torch.kaiser_window(512, beta=8.0) window3 = torch.kaiser_window(512, beta=16.0) print("beta=8.0 first 3 values:", window2[:3]) print("beta=16.0 first 3 values:", window3[:3]) * * PyTorch torch Reference Manual](#)