Hardware realization and optimized of lifting wavelet transform

Shang Lina, Gao Guang-chun, Z. Cui, Chen Cheng
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引用次数: 1

Abstract

Lifting algorithm doesn't depend on the Fourier transform, reduces the computational complexity, and it's very suitable for hardware implementation. The hardware realization of lifting wavelet transform is introduced in the paper. It optimized the algorithm, and saved the Hardware resources more than 20% at the situation of speed priority and area priority, and also saved time.
提升小波变换的硬件实现及优化
提升算法不依赖于傅里叶变换,降低了计算复杂度,非常适合硬件实现。介绍了提升小波变换的硬件实现。对算法进行了优化,在速度优先和区域优先的情况下,节省了20%以上的硬件资源,也节省了时间。
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