cwf0002

针对信号自适应chirplet分解未知参数多、实现起来比较困难的特点，文献[1]提出了一种新的chirplet分解快速算法。该算法利用计算信号的二次相位函数，得到其能量分布集中于于信号的调频率曲线上的结论，此时通过谱峰检测可同时获得chirplet调频率、时间中心和幅度的估计；然后通过解线性调频技术获得其初始频率和宽度的估计，仿真结果验证了本文算法的有效性。 (For the signal adaptive the chirplet decomposition of unknown parameters to achieve difficult to literature [1] proposed a new fast algorithm for chirplet decomposition. The algorithm makes use of the secondary phase of the calculated signal function, the conclusion focused on energy distribution curve to tune the frequency of the signal by the peak detection chirplet tune frequency, time center and amplitude estimates then by solving chirp technology to obtain the initial frequency and width is estimated that the simulation results demonstrate the effectiveness of the proposed algorithm.)

关于日本显示芯片mb90092 例程 (mb90092 demo)

puma560机器人基于matlab机器人工具箱各关节轨迹源文件(puma560 robot robot kit based matlab source files for each joint trajectory)

无基卡尔曼滤波matlab程序实现,ukf(No Chica Kalman filter matlab program to achieve)

magnovox source code

音频信号采集 根据二进制编码原则，实现音频信号的信息采集(AUODIO CATCH)

说明：  74154中文资料.doc 74154中文资料.doc

使用push-relabel方法求解最大流问题，是国外的一个研究机构编写的，速度很快。(This is an efficient implementation of the push-relabel method. See Goldberg and Tarjan, "A New Approach to the Maximum Flow Problem," J. ACM Vol. 35, 921--940, 1988 and Cherkassky and Goldberg, "On Implementing Push-Relabel Method for the Maximum Flow Problem," Proc. IPCO-4, 157--171, 1995.)

利用MATLAB7.0与VC6.0联合编程，通过com组件实现了二维曲线，非常好，保证没错误(VC6.0 joint programming with the use of MATLAB7.0 by com component implements two-dimensional curve, very good, to ensure no errors)

对控制装置及仪表的控制系统进行仿真，并给出性能分析(Control devices and instrumentation control system simulation and performance analysis is given )