radar_moving_target_detection

无标度网络结构相对简单,实现算法与可视化并不困难。与其它语言相比,Matlab 语言具有丰富的数学 函数库,能够写出简约的源代码。对于非计算机专业的大学生来说,以此为基础,能够快速进入复杂网络前沿 研究课题,对其数学建模能力和科研能力的培养极为有益。(Scale-free network structure is relatively simple algorithm is not difficult and visualization. Compared with other languages, Matlab language with a rich library of mathematical functions, can be simple to write the source code. For non-computer science students is as a basis to quickly enter the complex network of cutting-edge research topics, their mathematical modeling and scientific research is extremely useful ability.)

n类PSVm 算法程序，相对于svm运算速度较快(n Class PSVm algorithm procedures, in relation to computing speed svm)

Matlab程序有限差分法\Gauss_Seidel迭代法的Matlab程序.rar(Matlab procedures finite difference method Gauss_Seidel iteration of the Matla b procedures. rar)

《精通matlab2011a》正版书中源程序代码电子档，有需要的可以借鉴。(《Proficient in matlab_2011a》 genuine book source code electronic files, the needy can learn from.)

感知器算法的基本思想是，对初始的或迭代中的增广权矢量 ，用已知的训练模式检验它的合理性，当不合理时，对其进行校正，校正方法实际上是最优化技术中的梯度下降法，上传的是用matlab解决感知器问题。(The Perceptron Algorithm The basic idea augmented weight vector of the initial iteration, the known training mode to test it reasonable, unreasonable, its correction, the correction method is actually the most optimization techniques the gradient descent method, upload matlab to solve perception problems.)

Overview The Simulink model shows an example how the Kalman Filter can be implemented in Simulink. The model itself is configured with a Gaussian process connected with a Kalman Filter. To directly use this model, one only needs to provide model prarameters including parameters of the Gaussian process, which are state space matrices, A, B, C, and D, initial state, x0, and covariance matrices, Q and R and similar parameters for the Kalman Filter, which can be in different values to mimic the model mismatch, plus the state covariance, P. The following examples show how this model can be used. The Kalman Filter can also be used as a standard model block to be connected with any other systems

鲁棒波束形成和加权系数波束形成（10元线性阵列）(Robust beamforming and beamforming weighting coefficients (10 linear array))

接收天线对分布式干扰机群和单个大功率干扰机方向性影响数值计算及仿真(Receiving antenna directivity effects of numerical calculation and simulation of distributed interference fleet and a single high-power jammer)

香农定理以及它在Matlab软件中的实现例程(Shannon coding and its MATLAB implementation)

通过例子，解释主成分分析和因子分析之间的区别，方便大家学习(Examples to explain the difference between the principal component analysis and factor analysis to facilitate learning)