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Optimized implementation of Discrete Wavelet Transform with area efficiency

机译:具有面积效率的离散小波变换的优化实现

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摘要

The objective of this paper is to illustrate a comparative study on the performance of DWT with the multiplier reducing algorithms. The optimization techniques were based on the identification of algorithms, which could exploit the FPGA features. Discrete Wavelet Transform (DWT) is one of the most used techniques for image compression and is applied in a large category of applications for multi resolution analysis of signals. DWT can provide significant compression ratios without great loss of visual quality than the previous techniques such as the Discrete Cosine Transform (DCT) and the Discrete Fourier Transform (DFT). This work provides an analysis between the conventional VLSI implementation techniques as against an area efficient realization approach. This is expected to provide a reduction in hardware complexity and also an increase in computational speed. The reduction in the resource utilization improves the system performance by means of reduction in power consumption as well as the reduction in delay.
机译:本文的目的是说明使用乘数减少算法对DWT的性能进行比较研究。优化技术基于算法的识别,可以利用FPGA功能。离散小波变换(DWT)是最常用于图像压缩的技术之一,并广泛应用于信号的多分辨率分析。与先前的技术(例如离散余弦变换(DCT)和离散傅立叶变换(DFT))相比,DWT可以提供显着的压缩比而不会造成视觉质量的重大损失。这项工作相对于区域有效实现方法,提供了常规VLSI实现技术之间的分析。期望这将降低硬件复杂度,并提高计算速度。资源利用率的降低通过降低功耗和减少延迟来提高系统性能。

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