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Optimized discrete wavelet transform to real-time digital signal processing

机译:优化离散小波变换到实时数字信号处理

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In this paper, we propose optimized method of discrete wavelet transform. There is many use of wavelet transform in digital signal processing (compression, wireless sensor networks, etc.). In those fields, it is necessary to have digital signal processing as fast as it possible. The new segmented discrete wavelet transform (SegWT) has been developed to process in real-time. It is possible to process the signal part-by-part with low memory costs by the new method. In the paper, the principle and benefits if the segmented wavelet transform is explained.
机译:本文提出了离散小波变换的优化方法。在数字信号处理(压缩,无线传感器网络等)中有许多小波变换。在这些字段中,必须尽可能快地具有数字信号处理。新的分段离散小波变换(SEGWT)已开发为实时处理。通过新方法可以使用较低的内存成本处理信号部分。在论文中,如果解释分段的小波变换,则原理和益处。

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