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小波变换是在傅立叶变换的基础上发展起来的,它优于傅立叶分析的地方是它在空域和时域都是局部化的,其局部化格式随频率自动变换,在高频处取窄的时(空)间窗,在低频处取宽的时(空)窗,适合处理非平稳信号,在图像处理、模式识别、机器人视觉、量子力学等领域得到广泛应用。-Wavelet transform is a Fourier transform developed on the basis, it is better than Fourier analysis of the place is that it is in the spatial and temporal localization, and its local format with the frequency of automatic conversion, and narrow at high frequencies when taken (empty) room window, taking in the low frequency when the width of the (empty) window, suitable for handling non-stationary signal, the image processing, pattern recognition, robot vision, the field of quantum mechanics has been widely used.
Date : 2025-12-23 Size : 5.28mb User : 杨洋
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