To overcome the channel fading and improve the anti-interference capability in free-space optical communication, a coded Pulse Position Modulation(PPM) photon-counting based iterative demodulation scheme by utilizing Soft-input Soft- output(SISO) for single data stream is proposed. On the assumption of shot noise limited Poisson channels, the iterative demodulation algorithm is derived and on the basis of it, a simplified scheme is proposed for 4-ary PPM. The numerical results under the conditions of Repetition Code(RC) and Serial Concatenated Code(SCC) also with analysis of system performance are illustrated. The simulations show that the scheme can provide a relatively good system Bit Error Rate(BER) performance with low computational complexity and is easy for hardware realization.
In the research of image encryption application, in order to resist the attacks, it needs to construct more chaotic sequence. Aiming at this problem, this paper studies the quadratic problem of quadratic function in unit area. The study finds that, a large number of the quadratic mapping is Li-Yorke chaos under certain conditions, some special cases is Devaney chaotic. It discusses chaos condition when unit area of the quadratic function value is less than 1, draws approximate area of control point which can generate chaos, computes cycle point of quadratic function in unit area and Lyapunov exponent, and generates a chaotic sequence which is available for image encryption. Experimental results show that constructing chaotic sequence by the quadratic curve for image encryption has a good result.
Aiming at the vehicle routing problem with hard time windows and multiple fuzzy characteristics, a multi-objective fuzzy expected model is designed based on fuzzy credibility theory, and an adaptive hybrid Multi-objective Particle Swarm Optimization(MOPSO) is proposed to solve the fuzzy vehicle routing model. The algorithm puts forward a particle encoding method according as phase-space, and designs a double archiving mechanism which stores the non-dominated solutions and excellent infeasible solutions separately. It also introduces adaptive strategies on local search, mutation and selection for particle global guide. The compareative experiments with multi-objective evolutionary algorithm verify that the method is capable of getting more excellent Pareto sets.
A Mandarin-English general phonetic alphabet?——Human Computer Speech Interaction Phonetic Alphabet(HCSIPA), in which the articulation manner and place are applied for construction criterion, is proposed in bilingual speaker based Mandarin-English mixed Text to Speech(TTS). A Mandarin-English common question set suitable for HCSIPA is constructed in Mandarin-English mix clustering. Its construction target is to increase the distinguishing between Mandarin and English in the decision tree structure. The result verifies the HCSIPA can increase the mixing with pronunciation unit of Mandarin and English, to reduce the timbre gap caused by language gap. The mixed TTS based on HCSIPA can synthesize the speech of Mandarin and English with a high quality, and the quality decline to single language synthesis caused by mix of Mandarin and English is not obvious.
The inter-cluster interference and transmission power wasting exist in the Low Energy Adaptive Clustering Hierarchy(LEACH) protocol because of the independence of Time Division Multiple Access(TDMA) scheduling between neighbor cluster-heads. This paper proposes an Adaptive Power Control and Scheduling(APCAS) algorithm based on sink node to reduce the energy wasting and inter-cluster interference through monitoring Scheduling and Power Level(SAPL) table of neighbor cluster-head by the cluster-head to arrange adaptively the SAPL table. Simulation results show that this algorithm can effectively reduce inter-cluster interference by 50 percent and the power wasting.
Aiming at the problem of wood veneer defect recognition with a texture, noise jamming and complex background, this paper proposes an improved active contour model. This model is combined with the respective advantages of the Geometric Active Contour(GAC) model and the active contours without edges model. It solves the model with a dual formulation of the weighted TV-norm and obtains a fast algorithm. Experimental results show that the model can be competent for the detection of veneer which contains multi knots and complex texture background. The algorithm has less computation, faster identification of veneer defects.