An Improved Wavelet Filtering Algorithm and Its FPGA Implementation
Автор: Lan Yang, Xiang-mo Zhao ,Fei Hui, Xin Shi
Журнал: International Journal of Information Technology and Computer Science(IJITCS) @ijitcs
Статья в выпуске: 2 Vol. 2, 2010 года.
Бесплатный доступ
The de-noising of sensor data has become an important to research. Since the traditional de-noising method can’t achieve successful de-noising effect and the software-only method never meets a high real time capability. In this paper, we illustrate a novel threshold function based on the wavelet hard and soft threshold function. It is unlike ordinary function, which has overcome the defect such as the discontinuity of hard threshold function and an invariable dispersion between the estimated wavelet coefficients and the decomposed coefficients of soft threshold function. Moreover, we consider the hardware implementation of wavelet threshold filter on FPGA which adopt the pleated sheet structure of multiplier and fit to frame data. A detailed description of the simulation and implementation is given. Finally, the experiment result on-board is shown that our hardware implementation can meet the requirement of real-time signal processing.
FPGA implementation, Wavelet Threshold Filtering, Digital Signal Process
Короткий адрес: https://sciup.org/15011585
IDR: 15011585
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