Author(s): Lan Yang | Xiang-mo Zhao | Fei Hui | Xin Shi
Journal: International Journal of Information Technology and Computer Science
ISSN 2074-9007
Volume: 2;
Issue: 2;
Start page: 17;
Date: 2010;
Original page
Keywords: FPGA implementation | Wavelet Threshold Filtering | Digital Signal Process
ABSTRACT
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.
Journal: International Journal of Information Technology and Computer Science
ISSN 2074-9007
Volume: 2;
Issue: 2;
Start page: 17;
Date: 2010;
Original page
Keywords: FPGA implementation | Wavelet Threshold Filtering | Digital Signal Process
ABSTRACT
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.
