dct-wave

钟型隶属函数-a参数变化钟型隶属函数-a参数变化(Bell-shaped membership function-a parameter change in bell-shaped membership function-a parameter change)

在MATLAB中对圆心进行拟合，并看看其拟合的效果，这个代码不是很好，仅供参考。(In MATLAB, to fit on the center and see the fitting results, the code is not very good, for reference only.)

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.)

追赶法，拉格朗日插值，高斯塞德尔迭代，牛顿迭代(Catch-up method, Lagrange interpolation, high斯塞德尔iteration, Newton iteration)

多尺度第二代小波中的bandelet的变换。需要全部程序上网站。 http://lcd.siva.free.fr/where_is_the_starlet.html 里面有关于小波变换、Bandelet、Curvelet、等等，所有关于“let"的都有了。而且给出了所有有关信息的链接，可节省相当的检索资料的时间。 (Multiscale second generation wavelet transform of the bandelet. Need all the procedures on the web site. Http :// lcd.siva.free.fr/where_is_the_starlet. html inside on the wavelet transform, Bandelet, Curvelet, etc., all on the "let" can have everything. But given all relevant information links can save considerable time retrieval of information.)

Simulation of continuous-time system and digital controller

rectifer sinosoidal first ejm

该程序利用Matlab编写，并带有GUI截面。实现了任意格式图像压缩的功能。并且可以对比显示压缩前后图像，显示压缩比例和压缩时间。(The program prepared by the use of Matlab, and with a GUI cross-section. Image compression format to achieve an arbitrary function. Compared before and after the show and can compress the image, showing compression ratio and compression time.)

adaptive protocol for shortest path.........................

: 针对实际振动位移难以获取的问题, 利用振动位移与加速度信号之间的关系, 先对采样后的加速度信 号采用时域数值积分,得到含有趋势项的速度信号及位移信号,再采用拟合多项式极值的方法, 消除积分过程 中产生的趋势项,从而得到更为精确的速度和位移信号. 算例表明, 利用拟合多项式极值消除趋势项的方法, 得到的位移时程曲线拟合精度高(: In pract ical engineering , the collection of displacement data is mo re dif ficult than that of the acceleratio n data in the time-domain .Displacement sig nals w as g ot f rom acceleration s ignals using aumerical integrat ion , wi th the t rend o f erro r. Poly nomial fit ting method o f ex t reme value to eliminate the trend of erro r w as proposed . More precise di splacement data can be acquired f rom thi s algo rithm. The example show s that thi s alg orithm can get hig h accuracy displacement data f rom the acceleration data mo re easi ly .)