摘要：The flight control system designer is increasingly concerned with the problem of providing adequate stability of the elastic modes of the flight vehicle. The problem of stabilizing bending modes can be solved by the use of different bending filters. But continuously changing behavior of the elastic modes frequencies makes it impossible to suppress the elastic modes. In this paper, adaptive tracking filter is used to solve this problem. Where it can track the frequency of predominant oscillatory component of its input signal and automatically adjust the shaping characteristics as a function of this frequency. Simulation results are presented to show the frequency tracking accuracy and response of the flight launch vehicle, which are based on the assumption that, only first bending mode is selected at a time. Comparison with the second order band pass filter is carried out in order to emphasis the effectiveness of this design methodology.

摘要：A new variable step-size （VSS） affine projection algorithm （APA） （VSS-APA） was proposed for adaptive feedback cancellation suitable for hearing aids. So, a nonlinear function between step-size and estimation error is established and automatically adjusted according to the change of the estimation error, which leads to low misalignment and fast convergence speed. Analysis of the proposed algorithm offers large capacities in converging to the objective system. Simulation shows that the proposed algorithm achieves lower misalignment and faster convergence speed compared to fixed step-size APA and conventional adaptive algorithms.

摘要：Acoustic echo cancellation based on sub-band filters has the characteristics of rapid con- vergence and small computational complexity. This letter analyses two different sub-band filters design methods which used in acoustic echo cancellation fields and compares them with each other. Fur- thermore, the sub-band filter construction have been optimized, which lead to the improvement of the computational efficiency. At the same time, this letter combines ear auditory feature with acoustic echo cancellation, thus improves the original algorithms by importing a new objective function creatively. At the last part, a simulation environment has been designed and a computer simulation has been carried out. The final results indicate that this method can meet the requirements of actual projects, and some improvements are demonstrated on performance and calculation quantity compared to original algo- rithms.

摘要：In this paper we present a novel image decomposition method via credible data fitting with local total variation filter. The oscillation rate is used to measure the image complexity and characteristics. The filter parameter can be determined by a fitting curve which is reconstructed by oscillation rate. In addition, the approximate Gaussian algorithm and integral image are used to reduce the algorithm computation and the sensitivity of the filter window selection. Experiments show the new method is better than the exist- ing methods.