dc++

利用Matlab对Kouch曲线的程序编写，能生成Koch曲线并绘制图形，级数作为外部参数输入，可调整。(The use of Matlab program of Kouch curve to write, can generate Koch curve and graphics rendering, series as external input parameters, can be adjusted)

基于欧几里得距离的聚类分析，插值与拟合的matlab实现，实现六自由度运动学逆解算法。( Clustering analysis based on Euclidean distance, Interpolation and fitting matlab implementation, Six degrees of freedom to achieve inverse kinematics algorithm.)

正向正态云发生器算法，利用Matlab或VC编程实现正向正态云发生器算法，绘制出云模型。(Forward normal cloud generator)

B-M算法的实现，求出产生M序列的最短LFSR的联接多项式，调试成功，可以运行(BM algorithm, find the shortest LFSR sequence generated M join polynomials, debug successfully, you can run)

说明：  matlab中chol函数的C++实现，即对矩阵进行分解，分解为上三角矩阵(chol matlab in C++, the function)

基于均匀圆阵的信号二维方向角高精度估计 (Angular precision estimates based on two-dimensional uniform circular array signal direction)

抢答器的实现功能的仿真，使用MATLAB进行仿真运行(Responder achieve functional simulation using MATLAB simulation run)

说明：  运用相移延拓的方法有效地模拟地震波在介质中的传播路径。(Extension of the use of the phase shift method can effectively simulate seismic wave propagation path in the medium.)

Algorithm Collections for Digital Signal Processing

基于蒙特卡洛方法的主动声纳信号检测性能分析.主动声纳信号检测性能的分析上,目前在计算机仿真中一般假定混响包络的统计特性符合瑞利分布模型。基于此模型,已经有了较完善的理论。然而,在现代高分辨声纳系统中,混响包络的统计特性并不符合瑞利分布模型。此时在接收机工作特性分析时存在大量繁琐的公式推导。因此该文采用蒙特卡洛(M onte Carlo)统计试验方法,实现对瑞利分布混响背景下的主动声纳信号检测性能分析。结合对接收机工作特性曲线的仿真,得出了检测概率的理论值和仿真结果的误差曲线。误差曲线表明,蒙特卡洛方法在主动声纳信号检测的性能评估中是可行的。 更多还原 (Active sonar signal detection performance analysis, computer simulation is generally assumed that the statistical properties of the reverberation envelope distribution model of Rayleigh active sonar signal detection performance analysis based on the Monte Carlo method. Based on this model, has been a better theory. However, in the modern high-resolution sonar system, the statistical characteristics of the reverberation envelope does not comply with the Rayleigh distribution model. At this point in the receiver operating characteristic analysis, there is a lot of tedious formula derivation. In this paper, using the Monte Carlo (M onte Carlo) statistical test methods, active sonar signal detection performance analysis reverberation background Rayleigh distribution. The receiver operating characteristic curve simulation obtained the error curve of the theoretical value and the simulation results of the detection probability. The error curve shows that the Monte Carlo method in the assessm)