Analysis of transient multiexponential signals using exponential compensation deconvolution

Transient multiexponential signals analysis using Bayesian deconvolution

“…It is lower than minimum norm with 14.9% but a little higher than MUSIC method with 6% in [9,19]. When it comes to five exponential signal S 4 (τ ), the maximum percentage deviation is 10% at medium SNR while is 8% at high SNR with our method.…”

“…It is better than MUSIC method at medium and high SNR. While compared with minimum norm method in [9], it performs better at medium SNR with 21.7% but worse at high SNR with 5.9%.…”

“…It is a typically multiexponential signal which has large amplitude distribution and large number of components in multiexponential analysis, thus it is widely used by other researchers to test their algorithms [8,9].…”

“…This signal would prove difficult when applied to most of the popular methods [9]. Thus it is used to test our proposed technique.…”

“…(1) into a discrete convolution model. Deconvolution was computed using different parameter deconvolution model named singular value decomposition-autoregressive moving model (SVD-ARMA), multiple signal classification (MUSIC) and minimum norm method [8,9]. The main disadvantage of these methods is the data length constraint.…”