… methods, human identification from ECG signals is able to detect aliveness and robust to
falsification, which creates a great deal of interest in signal processing community. Biel et al. [5] …

… Be that as it may, in this letter, we demonstrate that the much simpler task of finding a local
minimizer can produce exact reconstruction of sparse signals with many fewer measurements …

The multiple-input multiple-output (MIMO) orthogonal frequency division multiplexing (OFDM)
system with space-frequency block coding (SFBC) is an attractive technique due to its …

… INTRODUCTION The problem of estimating an unknown signal from noisy linear observations
is fundamental in signal processing. The estimation task is often formulated as the linear …

… In this letter, we propose a simple yet effective automatic blurred image region detection …
camera motion blur detection and deblurring,” IEEE Signal Process. Lett., vol. 21, no. 6, pp. …

… In the recently updated EDICS for the IEEE-Signal Processing Letters, five new entries
related to sparse and redundant representations have been added. These include: …

… In this letter, we have not considered … Moulin, “Low-complexity image denoising based
on statistical modeling of wavelet coefficients,” IEEE Signal Processing Lett., vol. 6, pp. 300–303, …

… In this letter, we report a CNN architecture that takes into account knowledge of steganalysis.
In the detailed architecture, we take absolute values of elements in the feature maps …

… In this letter, we study the performance of OMP in recovering the support of a sparse signal
… We consider two types of bounded noise and our analysis is in the framework of restricted …

… signal analysis. The proposed approach is given in Fig 1.e., which depicts almost the same
performance as the original signal … importance in higher order signal analysis, when noise is …