PronyAnalysis

经典FDTD程序，仿真对象为horn天线，并且在域内设置电流源计算在空间内的散射场。(Classic FDTD procedure, simulation for horn antenna, and set the current source in the region in the space of the scattering field.)

point multiplication of elliptic curve over galois field

MATLAB下使用viterbi算法进行卷积码的仿真范例。可以用任意配置的卷积码。testConv.m启动仿真，其中用了两种卷积码(一个1/2和一个2/3卷积码）。若要使用硬判决，需修改metric.m文件。其他就没有什么要改的了。解压即可使用。(Under viterbi algorithm using MATLAB simulation examples of convolution codes. Can be used in any configuration of the convolutional code. testConv.m start the simulation, which used two convolution code (a 1/2 and a 2/3 convolutional code). To use a hard decision, modify metric.m file. Nothing else would want to change it. Extract can be used.)

脉冲雷达测距的仿真算法,包括根据目标信息生成回波,添加噪声,在进行接收,信号处理计算出结果(Pulse radar ranging simulation algorithms, including information generated according to the target echo, adding noise, during the reception, signal processing, the results calculated)

均匀线阵和均匀圆阵的DOA估计，对理解均匀圆阵的方位360度DOA分辨率相等很有帮助，程序里注释很详细。(the DOA estimation of Uniform linear array and uniform circular array, it is helpful to understand uniform circular array s equal resolution in 360 degrees,the detailed comments are given in it.)

计算器设计，其中包括加号输入、小数点的输入、及数字输入和求解。(Calculator design, including the plus input, the decimal point input, and digital input and solution.)

matlab仿真，对卡尔曼滤波器的性能分析，包括均方误差等(matlab simulation, the performance of the Kalman filter analysis, including mean square error, etc.)

基于OFDM系统的注水算法的MATLAB仿真程序(OFDM systems based on MATLAB simulation program injection algorithm)

分数阶傅里叶变换matlab的实现，可以看看的(Fractional Fourier transform matlab realization, you can see the)

用Hausdorff距离对两角点集进行配准，得到点集间的仿射变换，从而实现图像的自动配准。此算法以角点作为Hausdorff距离的配准特征，与直接选用边缘来配准的方法相比较，大大减小计算量。(Hausdorff distance on the corners with a point set registration, be affine transformation between sets in order to achieve automatic image registration. This algorithm is based corner as the Hausdorff distance matching characteristics, and use Edge to direct registration method of comparison, greatly reduced computation.)