HW1_temp2

NP是美国匹兹堡大学的T.L.Saaty 教授于1996年提出了一种适应非独立的递阶层次结构的决策方法，它是在网络分析法（AHP）基础上发展而形成的一种新的实用决策方法。其关键步骤有以下几个： 1 确定因素，并建立网络层和控制层模型。 2 创建比较矩阵。 3 按照指标类型针对每列进行规范化。 4 求出每个比较矩阵的最大特征值和对应的特征向量。 5 一致性检验。如果不满足，则调整相应的比较矩阵中的元素。 6 将各个特征向量单位化(归一化)，组成判断矩阵。 7 将控制层的判断矩阵和网络层的判断矩阵相乘，得到加权超矩阵。 8 将加权超矩阵单位化(归一化)，求其K次幂收敛时的矩阵。其中第j列就是网络层中各元素对于元素j的极限排序向量。 (NP is a professor at the University of Pittsburgh TLSaaty presented in 1996, an adaptation of non-independent Hierarchy of decision-making method, which is the analytic network process (AHP) formed on the basis of the development of a new and practical decision-making method . The key steps are the following: A determining factor, and a network layer and control layer model. 2 create a comparison matrix. For each of the three types of indicators in accordance with normalized columns. 4 find the maximum for each comparison matrix eigenvalue and the corresponding eigenvectors. 5 consistency test. If not satisfied, then the comparison to adjust the corresponding matrix elements. 6 will each feature vector units of (normalized), to determine the composition of matrix. 7 to determine the control layer and network layer to determine matrix matrix multiplication, to be weighted super-matrix. 8 of the weighted super-matrix units of (normalized), seeking the powe)

matlab 入门教程 适合刚入门的学生学习(matlab Tutorial)

绿色破解版的SOURCEINSIGNHT软件，很好用的，可以帮助您检测代码编写时间(Green cracked version of SOURCEINSIGNHT software, well used, can help you detect coding time)

说明：  结合回声消除和语音增强方法的double talk算法，能在噪声环境下定出语音的端点(light echo cancellation and voice enhancement method of double talk algorithm can be noisy environment set voice endpoint)

Evaluate the multi-variate density with mean vector m and covariance matrix C for the input vector x.

自适应滤波中的最小均方误差算法（LMS)仿真程序，可以绘制梯度曲线.(Adaptive filtering in the minimum mean square error algorithm (LMS) simulation program, you can draw the gradient curve.)

`1-magic : Recovery of Sparse Signals via Convex Programming

MATLAB Example Code : Non-Linear Least Squares --- Bearings-Only Measurement(MATLAB Example Code : Non-Linear Least Squares--- Bearings-Only Measurement)

机器人运动学和动力学模型，六自由度的，界面设计以及轨迹规划等功能(Robot kinematics and dynamics models, six degrees of freedom, interface design, and trajectory planning, etc.)

直接序列扩频信号的产生与捕获模拟 调用GoldGenerator.m生成GOLD伪码(GoldGenerator and DS-SS )