Description: 本文提出了一种基于提升算法的高效JPEG2000二维离散小波变换(2D—DWT)~ 结构，将边界延拓内嵌于离散小波变换过程中，减少了所需的内存空间和功耗。采用W 扫描输入方式和行列并行处理结构，加快了变换速度，大大提高了小波变换的效率。整个二维离散小波变换结构已经通过FPGA硬件仿真验证。-This paper presents a highly efficient algorithm based on lifting JPEG2000 two-dimensional discrete wavelet transform (2D-DWT) ~ structure, the boundary extension will be embedded in the process of discrete wavelet transform to reduce the required memory space and power consumption. W scanning input methods used and the ranks of parallel processing structure, and accelerated the pace of change has greatly enhanced the efficiency of wavelet transform. The whole structure of two-dimensional discrete wavelet transform has been adopted FPGA hardware simulation. Platform: |
Size: 182272 |
Author:H Simon |
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Description: This paper is a brief introduction to discrete wavelet transform as digital signal-processing
technique and the application. The field of discrete wavelet transform (DWT) is an
amazingly recent one because itÌ s better than Fourier transform. This technique was used on
power system to partial discharge site location. Partial discharges are caused by various
defects such as voids, shield protrusions, contaminants, advanced stages of water tree, etc
and known the main cause of breakdown in insulation materials. Platform: |
Size: 162816 |
Author:made |
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