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Pytorch Torch Hamming_Window

# PyTorch torch.hamming_window Function * * * [![Image 3: Pytorch torch Reference Manual]( Pytorch torch Reference Manual]( `torch.hamming_window` is a function in PyTorch used to generate a Hamming window. The Hamming window is a weighted cosine window function widely used in signal analysis for speech processing and communication systems. ### Function Definition torch.hamming_window(window_length, periodic=True, alpha=0.54, beta=0.46, dtype=None, layout=torch.strided, device=None, requires_grad=False) * * * ## Usage Examples ## Example import torch # Create a Hamming window of length 512 window = torch.hamming_window(512) print("Hamming window shape:", window.shape) print("First 5 values of window:", window[:5]) # Customize alpha and beta parameters window2 = torch.hamming_window(256, alpha=0.54, beta=0.46) print("Custom window shape:", window2.shape) * * * [![Image 4: Pytorch torch Reference Manual]( Pytorch torch Reference Manual](
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