In this paper, we address a blind frame synchronization problem where the receiver acts as an eavesdropper in wiretap channel. A challenging condition is considered, has completely no prior information except that unknown word (SW) repeated nonperiodic fashion. Although autocorrelation method was proposed for fixed length scenario, scheme not applicable to variable-length scenario. To solve pro...

Compressed sensing (CS) has renewed interest in sparse channel estimation. Herein, a semi-blind, iterative, sparse channel estimation method is proposed. The new method is based on minimizing Csiszár’s I-divergence using Schulz & Snyder’s iterative deautocorrelation algorithm. First, it is shown that the desired methods can be adapted to the problem of interest. The proposed semi-blind method a...

In this paper, we introduce a tensor-based subspace method for solving the blind channel estimation problem in a multiple-input multiple-output (MIMO) system. The current subspace methods of blind channel estimation require stacking the multidimensional measurement data into one highly structured vector and estimate the signal subspace via a singular value decomposition (SVD) of the correlation...

Transmitter induced redundancy using FIR filterbanks can be used to equalize FIR channels irrespective of channel zeros and facilitate blind channel estimation. At the receiver end, linear or non-linear (DFE) FIR filterbanks can be applied to recover the transmitted data. Closed form expressions are derived for the FIR linear or DFE filterbank receivers. By applying blind channel estimation met...

The aim of the present Letter is to introduce a new blind deconvolution algorithm based on fixed-point optimization of a ‘Bussgang’-type cost function. The cost function relies on approximate Bayesian estimation achieved by an adaptive neuron. The main feature of the presented algorithm is fast convergence that guarantees good deconvolution performances with limited computational demand compare...

This paper suggests an improved integer frequency offset (IFO) estimation scheme using P1 symbol for orthogonal frequency division multiplexing (OFDM) based the second generation terrestrial digital video broadcasting (DVB-T2) system. Proposed IFO estimator is designed by a low-complexity blind IFO estimation scheme, which is implemented with complex additions. Also, we propose active carriers ...

The main contribution of this paper is the introduction of a framework for estimation of multiple unknown blurs as well as their respective supports. Specifically, the Biggs-Andrews (B-A) multichannel iterative blind deconvolution (IBD) algorithm is modified to include the blur support estimation module and the asymmetry factor for the Richardson-Lucy (R-L) update based IBD algorithm is calcula...

The reverberation time (RT) is an important parameter for characterizing the quality of an auditory space. Sounds in reverberant environments are subject to coloration. This affects speech intelligibility and sound localization. Many state-of-the-art audio signal processing algorithms, for example in hearing-aids and telephony, are expected to have the ability to characterize the listening envi...