in this paper, an optimal algorithm is presented for de-noising of medical images. the presented algorithm is based on improved version of local pixels grouping and principal component analysis. in local pixels grouping algorithm, blocks matching based on l2 norm method is utilized, which leads to matching performance improvement. to evaluate the performance of our proposed algorithm, peak sign...

Performance of the echo canceller can be conventionally measured by putting white Gaussian noise into the echo canceller system. However, white Gaussian noise is not adequate as the test signal, since the performance may depend on the characteristics of input test signal, and the characteristics of the white Gaussian noise differ from those of real spoken language. This paper describes characte...

This paper establishes the global asymptotic equivalence between a Poisson process with variable intensity and white noise with drift under sharp smoothness conditions on the unknown function. This equivalence is also extended to density estimation models by Poissonization. The asymptotic equivalences are established by constructing explicit equivalence mappings. The impact of such asymptotic e...