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阵列信号处理的理论与应用书籍代码：MATLAB程序 1：MUSIC 算法MATLAB程序 2：ESPRIT 算法MATLAB程序 3：Root-MUSIC算法MATLAB程序 4：面阵中二维角度估计 Unitary -ESPRIT算法MATLAB程序 5：空间平滑MUSIC算法的MATLAB程序 6：角度和时延联合估计（JADE）算法MATLAB程序 7：传播算子DOA估计算法MATLAB程序 8：基于增广矩阵束的L型阵列的二维DOA估计MATLAB程序(Theory and Application of Array Signal Processing Book Code: MATLAB Program 1: MUSIC algorithm MATLAB program 2: ESPRIT algorithm MATLAB program 3: Root-MUSIC algorithm MATLAB program 4: Two-dimensional Angle Estimation Unitary-ESPRIT Algorithm MATLAB Program 5: space smoothing MUSIC algorithm MATLAB program 6: angle and delay joint estimation (JADE) algorithm MATLAB program 7: Propagation operator DOA estimation algorithm MATLAB program 8: Two- Dimensional DOA Estimation of MATLAB for L- Type Array Based on Augmented Matrix Bundles)

最优阵列信号处理一书中的源代码，对于学习阵列信号处理的人来说，是很不错的资料(Optimal array signal processing, a book' s source code, array signal processing for the study of people, it is very good information)

有限单元法及程序设计（第二版），天津大学刘尔烈，非常经典的fortran学习材料(Finite element method and program design (Second Edition),Tianjin University, Liu Erlie, a very classic FORTRAN learning material)

高斯脉冲的频谱分析的matlab仿真程序(Gaussian pulse spectrum analysis of the simulation program Matlab)

说明：  资源分配的论文和相应的仿真程序，希望对大家做资源分配有所帮助！(Resource allocation papers and corresponding simulation program, want to help you make the allocation of resources!)

电脑编程技巧和源码。很不错的。(computer programming skills and source code. Very good.)

说明：   Gsm手机(短信息，电话簿)开发库C++源代码 (Gsm mobile phone (SMS messages, phone book) the development of library C++ Source code)

说明：  非常好的资料，用于高等光学仿真，书与源码都有。(Advanced optical simulation, source code and books)

八位串行乘法器 缺点：乘法功能是正确的，但计算一次乘法需要8个周期，因此可以看出串行乘法器速度比较慢、时延大。 优点：该乘法器所占用的资源是所有类型乘法器中最少的，在低速的信号处理中有广泛的使用。(Eight bit serial multiplierDisadvantages: the multiplication function is correct, but the computation of one multiplication requires 8 cycles, so it can be seen that the serial multiplier is slow and time-consuming. Advantages: the multiplier occupies the smallest number of resources in all types of multipliers, and is widely used in low speed signal processing.)

源码，机器学习,共十章，经典书籍。。。。(python Source code, machine learning, a total of ten chapters, classic books)