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In order to implement the concept of educational principle of a research university and the training objectives of international elite, construct open teaching patterns, adapt to the evolving needs of personnel training, a digital interactive system of cooperation education of China and Russia was constructed in biological foundation experiment center of Heilongjang university. Modern information technology was applied into personnel training classrooms of internationalization of higher education through microscope systems, image processing systems, multimedia projection systems, voice answering system and application software systems. The communication of teachers and students was more accurate and convenient by using Knob function of LED pointer system and convenient manipulation interface. It is necessary to apply Motic digital interactive system for combination culture between China and Russia and interactive multimedia experimental teaching in biological foundation experiment center. Application of modern multimedia technology and high-tech means has enriched practice of teaching content, improved the efficiency and effectiveness of experimental teaching, and achieved domestic and international sharing of information resources. [ABSTRACT FROM AUTHOR]

To solve the problem that the parameter estimation of linear frequency modulation-pseudo random binary codes(LFM-PRBC) signal requires a large amount of computation in current algorithms, a fast parameter estimation algorithm which uses dechirp and fractional Fourier transform (FRFT) is proposed. Firstly, the dechirp is used to obtain the rough estimation of chirp rate which can determine the angle of rotation, and the rough estimation of symbol width is achieved by FRFT. And then, the exact value of chirp rate is estimated from the second dechirp based on the delay of the signal. Finally, through the second FRFT the exact value of symbol width and the initial frequency are obtained. The proposed algorithm has not only low computation complexity but also high estimation accuracy and strong ability of immunity to noise. The effectiveness of this algorithm is verified by simulation. [ABSTRACT FROM AUTHOR]

Recursive system convolutional code (RSC code) is the commonly used encoding form of Turbo sub-encoders. For the blind recognition problem of (n,1,m) RSC code, a method based on Walsh-Hadamard transform is proposed. Firstly, code parameters are estimated by analyzing matrix constructed by the received codeword. Then, the mathematical recognition model is derived according to RSC code's characteristics, the specific implementation steps are provided and the principle of the method is introduced. The simulation results from Matlab show that the performance of the method is obviously more excellent in comparison with other methods. The recognition probability reaches 90% when bit error rate(BER) is as high as 10-2,which indicates the great significance of the proposed method for further research on Turbo code. [ABSTRACT FROM AUTHOR]