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Full-Text Articles in Engineering
Impact Of Srs In Wdm Systems And Its Mitigation By Maximum Likelihood Sequence Detection, Innovative Research Publications Irp India, T. Sabapathi, G. Jaya Brindha
Impact Of Srs In Wdm Systems And Its Mitigation By Maximum Likelihood Sequence Detection, Innovative Research Publications Irp India, T. Sabapathi, G. Jaya Brindha
Innovative Research Publications IRP India
Non linear effects play a major role in hindering the progress of optical communication systems in terms of higher data rates and long haul transmissions. Maximum Likelihood Sequence Detection (MLSD) has been proposed to combat the nonlinear effects in optical channels. The main objective is to extract the original signal from the received signal which is distorted due to the non linear effects arising in the fiber. MLSD is an optimum detector as it uses the Viterbi detection through the Trellis structure. In this paper, the impact of SRS in the transmitted signal and its mitigation by MLSD are analyzed. …
Structural Similarity Based Image Quality Assessment Using Full Reference Method, Innovative Research Publications Irp India, Suneet Betrabet, Chetan Kumar Bhogayta
Structural Similarity Based Image Quality Assessment Using Full Reference Method, Innovative Research Publications Irp India, Suneet Betrabet, Chetan Kumar Bhogayta
Innovative Research Publications IRP India
This paper presents an objective quality assessment for digital images that have been degraded by noise. Objective quality assessment is crucial and is generally used in image processing. The main objective of this paper is to analyse various statistical properties and their measurements and finally compare them. The statistical properties that are included are mean square error (MSE), root mean square error (RMSE), signal to noise ratio (SNRQ), peak signal to noise ratio (PSNR) and certain frequency parameters like spectral magnitude distortions and spectral phase distortions. But it is observed that MSE and PSNR yield poor results therefore a new …
Blind Source Separation Using Ica For Additive Mixing In Time And Frequency Domain, Innovative Research Publications Irp India, Swapnil Mohan Mahajan, Suneet Kishore Betrabet
Blind Source Separation Using Ica For Additive Mixing In Time And Frequency Domain, Innovative Research Publications Irp India, Swapnil Mohan Mahajan, Suneet Kishore Betrabet
Innovative Research Publications IRP India
This paper presents BSS for additive mixing where every recordings consist of differently weighted signal. Therefore, by using ICA for both time-domain and frequencydomain, we are going to separate source signals from mixed signal. The main aim of our analysis is to perform undetermined convolutive BSS via frequency bin-wise clustering and permutation alignment where convolutive mixture are most delayed and weighted. So, ICA in timedomain is fails to separate signals. Hence, instead of this we use ICA in frequency-domain which playing vital role in separation of audio signals by using MATLAB which is our future work