The problem of estimating a sparse channel, i.e. a channel with a few non-zero taps, appears in many fields of communication including acoustic underwater or wireless transmissions. In this paper, we have developed an algorithm based on Iterative Alternating Minimization technique which iteratively detects the location and the value of the channel taps. In fact, at each iteration we use an appr...

In this letter, we present a joint algorithm of equalization and detector based on block Markov superposition transmission (BMST) codes for OFDM systems (called BMST-OFDM) over high-speed channels. In the BMST-OFDM systems, the equalizer can exchange soft messages with the demapper and BMST decoder in an iterative fashion. Simulation results show that: (1) our proposed equalization algorithm ca...

Abstract Blind source separation (BSS) is a research hotspot in the field of signal processing. This scheme widely applied to separate group signals from given set observations or mixed signals. In present study, Savitzky-Golay filter smooth signals, adopt simplified cost function based on noise ratio (SNR) and obtain demixing matrix accordingly. To this end, generalized eigenvalue problem solv...

introduction: in this study the evaluation of a platelet-based maximum penalized likelihood estimation (mple) for denoising spect images was performed and compared with other denoising methods such as wavelets or butterworth filtration. platelet-based mple factorization as a multiscale decomposition approach has been already proposed for better edges and surfaces representation due to poisson n...

‎In this paper‎, ‎an accelerated gradient based iterative algorithm for solving systems of coupled generalized Sylvester-transpose matrix equations is proposed‎. ‎The convergence analysis of the algorithm is investigated‎. ‎We show that the proposed algorithm converges to the exact solution for any initial value under certain assumptions‎. ‎Finally‎, ‎some numerical examples are given to demons...

In this contribution we propose an a priori signal-to-noise ratio (SNR) estimator based on a probabilistic speech model. Since the a priori SNR is an important means for speech enhancement algorithms, such as weighting rule calculation for noise reduction or speech presence probability computation, its diligent estimation is of wide interest. As a basis for this estimator a Gaussian mixture mod...

Iteratively decodable error correction codes enable operation at very low SNR, which exacerbates the timing recovery problem. We describe a scheme for joint timing recovery and turbo equalization that significantly lowers the SNR requirement when compared to a conventional receiver that separates timing recovery and turbo equalization. We also investigate the Cramér-Rao bound as a tool for eval...

in this paper, an iterative method is proposed for solving the matrix inverse problem $ax=b$ for hermitian-generalized hamiltonian matrices with a submatrix constraint. by this iterative method, for any initial matrix $a_0$, a solution $a^*$ can be obtained in finite iteration steps in the absence of roundoff errors, and the solution with least norm can be obtained by choosing a special kind of...