Papers by Keyword: Interpolation

Abstract: Training neural network by spline weight function (SWF) has overcomed many defects of traditional neural networks (such as local minima, slow convergence and so on). It becomes more important because of its simply topological structure, fast learning speed and high accuracy. To generalize the SWF algorithm, this paper introduces a kind of rational spline weight function neural network and analyzes the performance of approximation for this neural network.

Abstract: An improved genetic algorithm for the function optimization of multi-core embedded system is proposed. A number of chromosomes that distribute uniformly in space are generated by the algorithm randomly. Each chromosome is randomly coded and a new one will be generated by mutual calculation. After continuous elimination and circulation, the optimized chromosomes can be selected. The improved algorithm makes the mutation offspring have the opportunity to be the next parent with the increase of mutation. It enhances the parent diversity, increases the crossover rate, activates crossover between the parents and has chance to access to the best solution. The efficiency and cost reduction performance are improved. The different tasks will be distributed in parallel to available processors so as to meet the real-time requirements.

Abstract: In order to solve the problem of large amount of calculation and real time is not high in the process of NURBS real-time interpolation feed speed planning, offline feed speed planning method is proposed, the method plan speed in non real-time cycle, and generate the feed speed curve. In order to meet the machine tool dynamics constraint, the maximum acceleration and the jerk constraints were considered fully in the planning process. The simulation analysis show that the proposed method can greatly reduce the amount of computing tasks in real-time interpolation cycle, improve the real-time performance of interpolation; At the same time, the speed curve of the planning satisfies the requirement of machine tool dynamics, has the good effect of feeding speed smooth, is helpful to improve the interpolation precision.

Abstract: This paper presented the key techniques development of motor/generator (M/G) for the FES system in recent years, and summarized the latest developments of three machines such as: induction machine (IM), reluctance machine (RM) and permanent magnet machine (PMM) including traditional structure PMM and Halbach structure PMM, which now widely used in the FES system. Ultra smooth surface polishing techniques are the important part in the ultra precision machining system. The new ultra-precision polishing instrument which fit for the precision polishing in the elbow’s internal surface has been researched in this paper. The polishing instrument is a sphere which performs rotating-jet polishing and flexibly dragged by the string. The simulation result has proved that the polishing instrument can polish the internal surface of the elbow and achieve the purpose of the improving roughness of the internal surface.

Abstract: Based on STM32F407ZET6 microprocessor with ARM Cortex-M4 core, we designed a controller for servo motors and servo drivers of a 4-axis Selective Compliance Assembly Robot Arm (SCARA) robot. The forward and inverse kinematic equations are established, circular interpolation equations in three-dimensional space are derived by using the digital differential analyzer method. The adopted circular interpolation algorithm avoids to judge quadrant and feeding direction, which simplifies the program.

Abstract: In this paper, we propose a new super-resolution algorithm based on wavelet coefficient. The proposed algorithm uses discrete wavelet transform (DWT) to decompose the input low-resolution image sequences into four subband images, including LL, LH, HL, HH. Then the input images have been processed by the 3DSKR (Three Dimensional Steering Kernel Regression) super resolution (SR) algorithm, and the result replaces the LL subband image, while the three high-frequency subband images have been interpolated. Finally, combining all these images to generate a new high-resolution image by using inverse DWT. Proposed method has been verified on Calendar and Foliage by Matlab software platform. The peak signal-to-noise (PSNR), structural similarity (SSIM) and visual results are compared, and show that the computational complexity of the proposed algorithm decline by 30 percent compared with the existing algorithm to obtain the approximate results.

Abstract: Based on mathematical principle of function interpolation we design dominant and recessive auto electronic control system. In order to compare the performance of the two systems, we design a control experiment of automobile electronic signals for these two systems. The system adopts the CAN bus control, the wheel speed and door signal use the 0001-0100 signal channel to control, oil pressure and fault signal use the 0100-1111 signal channel to control. From the testing results of two systems, the dominant auto electronic control system occupies 8 channels, which is far from the theoretical value; and the recessive control occupies only 2 channels, which is accord with the theoretical value. It provides the technical support for the design of automotive electronic control system

Abstract: In order to adapt the spectrum property of Zadoff-Chu sequence to the requirement of HF channel sounding transmitter-receiver, the Formula Direct Interpolation Algorithm (FDIA) is put forward by which the amplitude frequency characteristic of Zadoff-Chu sequence can be enhanced. Then the comparison of spectra of the sequences respectively interpolated by FDIA and commonly used interpolation algorithm is conducted, which affirms the superiority of FDIA. Finally, an effective method of achieving best decimation of the sequence interpolated by FDIA is provided. All these lay primary theory foundation for the application of Zadoff-Chu sequence to HF channel sounding.

Abstract: HF channel sounding requires perfect autocorrelation property of the sounding sequences. Compared with other pseudonoise sounding sequences, Zadoff-Chu sequence gets great attention due to its predominant periodic autocorrelation property. In order to adapt the spectrum property of Zadoff-Chu sequence to the requirement of HF channel sounding transmitter-receiver, the Formula Direct Interpolation Algorithm (FDIA) is put forward by which the amplitude frequency characteristic of Zadoff-Chu sequence can be enhanced. Application examples show that, this system can significantly improve the efficiency of aerodynamic design.

Abstract: The Electronic Flight Bag (EFB) provides pilots real-time or existing data by converting the papery documents into electronic books. Consequently the efficiency and the security have been improved, which reduce pilots’ ground communication time and the paperweight. As a key factor of what influences the takeoff process, the takeoff performance undoubtedly has been an essential research task of EFB, while many factors may affect the takeoff performance, such as flap position, anti-ice and the external temperature. By means of interpolation, this paper integrates those factors and gets Maximum Take-off Weight (TOW), Take-off Decision Speed (V1), Take-off Rotation Speed (VR) and Take-off Safety Speed (V2). And then implants the result into the EFB based on the iOS.