Abstract: Speckle reducing anisotropic diffusion (SRAD), a diffusion method tailored to ultrasonic medical imaging and radar imaging applications. In SRAD the instantaneous coefficient of variation is derived by taking account only 4 pixel of image. We proposed the new algorithm using SRAD that consider 8 neighbor pixel of image i.e. horizontal and diagonal pixel both. We also demonstrate the algorithm performance on some ultrasound image. The performance measures obtained by is considerable compare to existing noise reducing algorithm and better edge preservation, variance reduction, and edge localization.

• Publication Date: 24-Feb-2013
• DOI: 10.15224/978-981-07-5461-7-41
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Abstract: Aim of this paper is to investigate the speech signal enhancement using Normalized Kernel Affine Projection Algorithm (NKAPA). The removal of background noise is very important in many applications like speech recognition, telephone conversations, hearing aids, forensic, etc. Kernel adaptive filters shown good performance for removal of noise. If the evaluation of background noise is more slowly than the speech, i.e., noise signal is more stationary than the speech, we can easily estimate the noise during the pauses in speech. Otherwise it is more difficult to estimate the noise which results in degradation of speech. In order to improve the quality and intelligibility of speech, unlike time and frequency domains, we can process the signal in new domain like Reproducing Kernel Hilbert Space (RKHS) for high dimensional to yield more powerful nonlinear extensions. For experiments, we have used the database of noisy speech corpus (NOIZEUS). From the results, we observed the removal noise

• Publication Date: 24-Feb-2013
• DOI: 10.15224/978-981-07-5461-7-42
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• Downloads: 0