The particular noise in image not only lower the quality of image but also make denoising more difficult. The
multiwavelet with the orthogonality and symmetry decompose the image signal more precisely and denoise better than
wavelet. But for multiwavelet transform, the choice of prefilter is extremely important, meanwhile leads to the
complication of computation. Furthermore, the image decomposition based on balanced orthogonal multiwavelet is
excellent, and does not need pre-filtering. So, in this paper, we propose a method of combining threshold-selecting
model with semi-soft thresholding function for image denoising based on the coefficients of balanced orthogonal
multiwavelet transform. The simulation results show that this method is superior to others.
Proc. SPIE. 4911, Wireless and Mobile Communications II
KEYWORDS: Digital signal processing, Digital filtering, Field programmable gate arrays, Linear filtering, Signal processing, Convolution, Analog electronics, Data communications, Rectangular pulse, Mobile communications
Digital IF is the current solution of software radio terminal. Digital IF expands the digital signal processing towards the IF section of terminal. It requires the "softly" reconfigurable IF hardware platform, thereby operating the different mobile standards on the given terminal. Due to the high reconfiguration of FPGA, it is the very approach to digital IF. Starting with considerations of the digital IF, we discuss the implementation of digital IF on FPGA.