A new steganographic algorithm is presented using pixel mapping method based on eight queens and number of ones in pixel intensity value. In our method, we are sequentially selecting 81 pixel blocks to embed message bit. The method works with randomizing the bit selection in the 81 pixel block using eight queens’ solutions. This approach finds relationship between secret message and cover ima...

A tournament searching method with new mutation operators for a problem of the feature subset selection is presented. The probability of the bit mutation in a classical approach is fixed. In the proposed methods this probability is dependent on the history of the searching process. Bit position whose mutation from 0 to 1 (from 1 to 0) improved the evaluation of the solution in early iterations,...

We propose a new selection diversity scheme, called -selection diversity, that selects the branch providing the largest magnitude of log-likelihood ratio (LLR). The LLR for BPSK signals in fading channels is found to be proportional to the product of the fading amplitude and the matched filter output after phase compensation. The proposed -selection diversity scheme is shown to be optimal in th...

Performance analysis of switched-and-stay combining (SSC) and selection combining (SC) diversity receivers operating over correlated Nakagami-m fading channels in the presence correlated Nakagami-m distributed co-channel interference (CCI) is presented. Novel infinite series expressions are derived for the output signal to interference ratio's (SIR’s) probability density function (PDF) and cumu...

Very low bit-rate video coding, using regular shaped patterns to focus on moving regions in macroblocks, has gained significant attention recently. This paper presents a new real-time pattern selection (RTPS) algorithm using a large codebook of thirty two patterns. The algorithm uses a relevance measurement for all the patterns and a moving region, to eliminate a large number of irrelevant patt...

The performance of Multiple-input Multiple-output (MIMO) systems can be improved by employing a larger number of antennas than actually used or selected subset of antennas. Most of the existing antenna selection algorithms assume perfect channel knowledge and optimize criteria such as Shannon’s capacity on bit error rates. The proposed work examines Antenna diversity and optimal/ sub optimal re...

A bit-string model for the evolution of a population of haploid organisms, subject to competition, reproduction with mutation, and selection, is studied, using mean-field theory and Monte Carlo simulations. We show that, depending on environmental flexibility and genetic variability, the model exhibits a phase transition between extinction due to random drift and survival. For weak selection th...

We propose a low complexity unit-selection algorithm for ultra low bit-rate speech coding based on a first-stage N-best prequantization lattice and a second-stage run-length constrained Viterbi search to efficiently approximate the complete search space of the fully-optimal unit-selection algorithm recently proposed by us. By this, the proposed low complexity algorithm continues to be near-opti...