Solution to the influence of the MSSW propagating velocity on the bandwidths of the single-scale wavelet-transform processor using MSSW device.

The objective of this research was to investigate the possibility of solving the influence of the magnetostatic surface wave (MSSW) propagating velocity on the bandwidths of the single-scale wavelet transform processor using MSSW device. The motivation for this work was prompted by the processor that -3dB bandwidth varies as the propagating velocity of MSSW changes. In this paper, we present the influence of the magnetostatic surface wave (MSSW) propagating velocity on the bandwidths as the key problem of the single-scale wavelet transform processor using MSSW device. The solution to the problem is achieved in this study. we derived the function between the propagating velocity of MSSW and the -3dB bandwidth, so we know from the function that -3dB bandwidth of the single-scale wavelet transform processor using MSSW device varies as the propagating velocity of MSSW changes. Through adjusting the distance and orientation of the permanent magnet, we can implement the control of the MSSW propagating velocity, so that the influence of the MSSW propagating velocity on the bandwidths of the single-scale wavelet transform processor using MSSW device is solved.

[1]  Y Sheng,et al.  Optical wavelet matched filter. , 1994, Applied optics.

[2]  Mary Jane Irwin,et al.  VLSI architectures for the discrete wavelet transform , 1995 .

[3]  Hongke Xu,et al.  Optimal Frequency Band Design Scheme of Dyadic Wavelet Processor Array Using Surface Acoustic Wave Devices , 2009, IEEE Transactions on Industrial Electronics.

[4]  Chaitali Chakrabarti,et al.  A VLSI architecture for lifting-based forward and inverse wavelet transform , 2002, IEEE Trans. Signal Process..

[5]  Wenke Lu,et al.  Solving Three Key Problems of Wavelet Transform Processor Using Surface Acoustic Wave Devices , 2010, IEEE Transactions on Industrial Electronics.

[6]  Changbao Wen,et al.  A novel architecture of implementing wavelet transform and reconstruction processor with SAW device based on MSC , 2006 .

[7]  Chengqi Shi,et al.  Study of small size wavelet transform processor and wavelet inverse-transform processor using SAW devices , 2011 .

[8]  Liang-Gee Chen,et al.  Efficient VLSI architectures of lifting-based discrete wavelet transform by systematic design method , 2002, 2002 IEEE International Symposium on Circuits and Systems. Proceedings (Cat. No.02CH37353).

[9]  Changchun Zhu,et al.  Time synchronous dyadic wavelet processor array using surface acoustic wave devices , 2006 .

[10]  Liu Junhua,et al.  Implementing wavelet transform with SAW elements , 2003 .

[11]  X. Zhang,et al.  Optical wavelet-matched filtering with bacteriorhodopsin films. , 1997, Applied optics.

[12]  Qinghong Liu,et al.  Wavelet transform element of SAW type , 2005 .