Biomedical Research

Ground Penetrating Radar (GPR) is vastly utilized for non-invasive study of man-made structures, particularly for determining depth of pipes which are buried under the ground. However, shallow objects might obscure GPR raw data which is reflected from deeper ones. The current work suggests a signal processing method known as the parallel lifting-based Canonical Signed Digit (CSD) 2D Discrete Wavelet Transform (DWT) infrastructure is suggested to realize a multiplier less architecture with lesser hardware complexity, smaller area and power consumption. The flipping structure of the lifting scheme can be recognized to reduce the longest critical path. CSD based structure is demonstrated with only adders and free of multipliers. A stripe based scanning method is adopted in order to achieve an efficient memory. JPEG 2000 lossy 9/7 filter is structured and the same scanning method with CSD is used to design 6/10 filter to contribute the evidence for the proposed methodology. In the existing method, memory efficiency is achieved with less speed. The new architecture is proposed using CSD multiplier with more speed. The filter coefficients are multiplied by 256 and are converted to integer form and then CSD representation is considered. The suggested architecture provides multiplier-less infrastructure for DWT utilizing CSD. This infrastructure is appropriate for high speed online applications with less area and power consumption. For an N× (N+1) image, the suggested CSD based lifting infrastructure utilizes solely 3N temporal memory, 2S transposition memory as well as Tm+Ta critical path.

Author(s): Haiying Tang, Jinhua Ma, Dejian Hu, Xueheng Zhou
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