E4_8_BoxJenkins

一个惯性导航子对准程序，可以用MATLAB运行(An inertial navigation sub-alignment procedures can be used to run MATLAB)

Y.T.Chan在其论文中提出一种具有解析表达式解的非递归双曲线方程组解法，该算法具有计算量小，速度快，且当TDOA参数估计误差服从高斯分布的情况下，定位精度较高。 本程序借鉴Chan论文中提出的算法，基于MATLAB程序，在已知TDOA估计参数的情况下，对信号源位置进行估计。 希望能够对研究 干扰源定位、无源定位的同志提供帮助。(YTChan in his paper presents a solution with the analytical expression for the non-recursive solution of hyperbolic equations, the algorithm has calculated the amount of small, fast, and when the TDOA estimation error of Gaussian distribution in the case, positioning accuracy than high. The papers presented in the program learn from Chan algorithm, MATLAB-based program, known TDOA estimation parameters in the case, the signal source location estimates. Hope to the study of interference location, passive positioning of the comrades to help.)

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.)

一个基于离散时间工作休假的排队模型的仿真程序(a simulation program of a queuing model which is based on the discrete time working vacation)

超宽带高斯脉冲的源代码，包括波形分析和误码率计算(Ultra-wideband Gaussian pulse source code, including waveform analysis and bit error rate calculation)

matlab读取ers sar 数据 matlab读取ers sar 数据 matlab读取ers sar 数据 asar 数据(read ers sar and asar data)

维纳滤波维纳滤波维纳滤波维纳滤波维纳滤波维纳滤波维纳滤波(Wiener filterWiener filter)

贝叶斯公式在临床中的应用是利用贝叶斯公式根据验前概率和条件概率来推算验后概率, 进而帮助诊断患者到底患种疾病中的哪一种。具体方法是根据以往积累统计资料, 对种疾病的验前概率人及各种条件概率人进行估算。在诸症状的一种具体组合已经出现的条件下, 按贝叶斯公式计算出各种疾病在这种具体症状组合下发生的概率即验后概率。比较各疾病的验后概率。如果某疾病人的验后概率明显大于其它疾病的验后概率, 便可诊断患者患的哪种疾病。(According to mass statistical results, try to work out the probability of 4 diseases and the class-conditional probability()

cooperative sensing using AND technique

说明：  罚函数法求解约束方程 注释非常详细 自己编的源程序(Penalty function method for solving the constraint equations themselves very detailed comments of the source code)