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Novel one-dimensional and two-dimensional forward discrete wavelet transform 5/3 filter architectures for efficient hardware implementation

机译:新型一维和二维前向离散小波变换5/3滤波器架构,可实现高效的硬件

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We implemented a more efficient circuit for one-dimensional (1-D) forward discrete wavelet transform (DWT) 5/3 filter. Our design utilizes processing and memory resources that are wasted in some other state-of-the-art solutions and is at least 33% simpler in terms of used registers, is 17% simpler in terms of used logic elements, has 7% higher maximum operating frequency and has 2% lower total power dissipation than previously published designs. The advantages of our design are achieved by a novel non-stationary filter topology which reuses the same registers for generating both low-pass and high-pass output coefficients, in different time slots, due to feed-forward and feedback paths. Our design is suitable for image compression systems which use 5/3 filter, e.g., JPEG 2000. We also proposed two-dimensional (2-D) DWT 5/3 architecture which uses implemented 1-D DWT filter design. The proposed 2-D DWT architecture outperforms all previously published architectures in terms of required memory capacity, which is at least 20% lower than memory capacity in any other reported solution.
机译:我们为一维(1-D)前向离散小波变换(DWT)5/3滤波器实现了更高效的电路。我们的设计利用了在其他一些最新解决方案中浪费的处理和内存资源,在使用的寄存器方面至少简化了33%,在使用的逻辑元素方面简化了17%,最大最大值提高了7%。工作频率,总功耗比以前发布的设计低2%。我们的设计的优势是通过一种新颖的非平稳滤波器拓扑结构实现的,该拓扑结构由于前馈和反馈路径的原因,在不同的时隙中重复使用相同的寄存器来生成低通和高通输出系数。我们的设计适用于使用5/3滤镜的图像压缩系统,例如JPEG 2000.我们还提出了使用已实现的一维DWT滤镜设计的二维(2-D)DWT 5/3体系结构。拟议的2-D DWT体系结构在所需的内存容量方面优于所有先前发布的体系结构,该内存至少比任何其他报告的解决方案的内存容量低20%。

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