chap7001

离散傅里叶变换对于FDTD计算程序很有用( an algorithm resistant to print/scan process is proposed , which is based on block discrete fourier transform)

传感器网络节点定位算法matlab代码，利用无线传感网络的zigbee节点进行定位的MATLAB源程序(Sensor network node localization algorithm matlab code, using zigbee wireless sensor network node positioning matlab source)

一个FDTD二维的经典程序，非常不错，适合初学者使用。(A classic two-dimensional FDTD program, very good, suitable for beginners.)

CPN网络，即对向传播网络，是将Kohonen特征映射网络与Grossberg基本竞争网络相结合，发挥各自特长的一种新型特征映射网络。(CPN network, the right to communication networks, Kohonen feature is the mapping of network and basic Grossberg competing networks combined play to their strong points of a new feature mapping network.)

用多点法求取方程的根，仅供参考仅供参考仅供参考仅供参考(Equation with multi-point method to strike root, for reference purposes only for reference purposes only)

you can pass C++ objects between different MEX functions without first converting to a MatLab compatible format(you can pass objects between different C ME X functions without first converting to a MatLa b compatible format)

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.)

matlab实现样条插值法，方便快捷实现各种拟合(matlab implementation spline interpolation method, to achieve a variety of quick and easy fitting)

msk的调制解调MATLAB源代码，很不错，值得看看(msk modulation and demodulation MATLAB source code, very good, worth a look)

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