Estimation of aliasing error in layered coding system
This paper theoretically investigates data distortion caused by resolution conversion in DCT (discrete cosine transform) based layered coding system. The system is attractive because it can not only compress large amounts of video data but also convert the scale of reconstructed pictures. However only a few attempts have so far been made at the degree of aliasing error. In this paper we treat the DCT system as a filter bank so that we can evaluate the system in the frequency domain. As a result of our study the system is theoretically evaluated from the multirate stand point and the DCT system is compared with other layered coding systems, e.g. subband coding and Gaussian/Laplacian pyramid, by means of one objective measure. >
A combination of different electric energy supply with different feature is designed for high acceleration and high ranges and improves the whole system properties. Energy supply system with energy hybridization of high energy and high power need an intelligent management system in order to control power and state of charge. In this paper we proposed a fuzzy prediction control strategy of energy management system (EMS) based on a new forward-looking and causal structure model. This control strategy is mainly consisted of three controllers, including SOC prediction controller, recharge controller and power allocation controller. Simulation result shows that the driving range, the fuel economy and efficiency of fuzzy prediction control strategy have rapidly improvement compared with simple allocation (look-up table) control strategy. In the next step we will apply this control strategy with actual EV through "dspace autobox".