The structure of LDPC-code over GF (16) is described. An iterative decoding algorithm based on adding and correcting of erasures is suggested. The numerical results of data transmission over the channel given by the dependencies of error and erasure probabilities on SNR are introduced (suggested decoding is used).

We present theoretical and experimental results for a distributed beamforming system based on a simple 1bit feedback algorithm. The algorithm is based on an iterative procedure, that synchronizes multiple transmitters to cooperatively send a common message signal coherently to a receiver, using only a single bit of feedback in each timeslot. Under this scheme, the transmitters make independent,...

A novel iterative receiver for the highly energy and bandwidth efficient serially concatenated continuous phase modulation (SCCPM) is proposed. The receiver uses soft feedback information from a simplified demodulator to perform iterative equalization and estimation while also utilising iterative decoding. The Laurent signal model for CPM is exploited to reduce the complexity of all the receive...

In this paper, we investigate an adaptive decode-and-forward (DF) cooperative diversity scheme based on bit interleaved coded modulation with iterative decoding (BICM-ID). Data bits are first encoded by using a convolutional code and the coded bits after an interleaver are modulated before transmission. Iterative decoding is used at the receiver. Optimized constellation mapping is designed join...

We present a novel iterative algorithm for detection of binary Markov random fields (MRFs) corrupted by twodimensional (2D) intersymbol interference (ISI) and additive white Gaussian noise (AWGN). We assume a first-order binary MRF as a simple model for correlated images. We assume a 2D digital storage channel, where the MRF is interleaved before being written and then read by a 2D transducer; ...

In optical phase shift profilometry (PSP), parallel fringe patterns are projected onto an object and the deformed fringes are captured using a digital camera. It is of particular interest in real time three-dimensional (3D) modeling applications because it enables 3D reconstruction using just a few image captures. When using this approach in a real life environment, however, the noise in the ca...

Introduction In fast MR imaging, reconstruction artifacts due to undersampled k-space can be greatly reduced by applying proper nonlinear reconstructions [1] based on image-sparsifying transforms. While state-of-the-art methods rely on total variation (TV), in this paper we propose to use wavelets instead, along with a very fast algorithm. Simulations and experimental results show our ability t...

Communication channels not only suffer from ambient noise but also from deterministic interference. In this paper, we consider signal-to-noise ratio (SNR) estimation in the presence of constant deterministic interference. A maximum likelihood (ML) non-data-aided algorithm is proposed for SNR estimation. We first consider a real-valued model and then extend this to a complex-valued model. The pr...

In this paper, a new technique for solving the two-dimensional inverse scattering problem for ultrasound inverse imaging is presented. Reconstruction of a two-dimensional object is accomplished using an iterative algorithm which combines the conjugate gradient (CG) method and a neural network (NN) approach. The neural network technique is used to exploit knowledge of the statistical characteris...