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This paper proposes an improved chaos-based M-ary modulation system. It reproduces deterministic chaotic dynamics to create M-ary non-coherent modulation. The proposed modulation system transmits data using autonomous chaotic sequences. It separates the chaotic dynamics through the use of interleavers and realigns them through the use deinterleavers. The simulation results show that the improved scheme...
The trend for about twenty years, the research regarding the number of states in Hidden Markov Model (HMM) was mainly aimed at increasing it in order to ensure the robustness of the face recognition system. In this paper, a novel face recognition method is presented based on one state of discrete HMM, where it seemed impossible in the past. Contrary to other approaches that use the three parameters...
This paper presents a simple and fast face recognition system based on two states of discrete Hidden Markov Model (HMM). The minimization in the number of states leads to high processing speed and less memory occupation. Median filter is applied to each image under process, where it is the most suitable filter used to eliminate the effect of noise on images, and thereby enhancing the performance of...
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