一种改进型小波阈值去噪算法的FPGA设计与实现

Improved wavelet threshold denoising algorithm for FPGA design and implementation

提出了基于现场可编程门阵列器件(FPGA)的一种改进型小波阈值去噪算法的设计与实现方案,利用Mallat快速离散正交小波变换算法,并在Altera QuartusII开发平台上采用Verilog HDL语言实现对含加性高斯白噪声的信号利用改进型阈值去噪方法进行处理。最后借助于ModelSim SE对含噪信号的处理进行验证仿真,仿真结果表明,该方案可以取得较好的去噪效果。

This paper,based on Field Programmable Gate Array（FPGA）,provides an design and implementation scheme of an improved wavelet threshold denosing algorithm.Mallat fast discrete orthogonal wavelet transform algorithm is adopted to this design,and in Altera Quartus II develo-pment platform using Verilog HDL implement containing the additive white Gaussian noise signal processing by an improved wavelet threshold denoising algorithm.Finally,with ModelSim SE on the processing of noisy signal verification and simulation.The simulation results show that the proposed scheme removes noise effectively.