Extraction of signals buried in noise: part I: fundamentals
Signal Processing - Signal processing in UWB communications
Wavelet speech enhancement based on time-scale adaptation
Speech Communication
Contrast enhancement of color images based on Wavelet Transform and human visual system
GVE '07 Proceedings of the IASTED International Conference on Graphics and Visualization in Engineering
Heuristic wavelet shrinkage for denoising
Applied Soft Computing
Denoising of event-related potential signal based on wavelet method
LSMS/ICSEE'10 Proceedings of the 2010 international conference on Life system modeling and simulation and intelligent computing, and 2010 international conference on Intelligent computing for sustainable energy and environment: Part III
A similarity measure for time, frequency, and dependencies in large-scale workloads
Proceedings of 2011 International Conference for High Performance Computing, Networking, Storage and Analysis
A noise cancelling technique using non-uniform filter banks and its implementation on FPGA
KES'06 Proceedings of the 10th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part I
Hi-index | 35.68 |
To wavelet-based noise reduction methods are discussed. First, we improve the traditional spatially selective noise filtration technique proposed by Xu et al. (1994). Second, we introduce a new threshold-based denoising algorithm based on undecimated discrete wavelet transform. Simulations and comparisons are given