qpskawgn

这个程序向大家解释如何在gui界面中更新变量，得到simulink的实时结果。(This example basically explains the real time update of simulink variables in GUI. The example displays the updated data in gauge and axes. )

alab document on ASK PSL and QPSK modulation techniques

三种方法辨识对象模型，内含详细讲解 运行方法： 修改当前路径为此文件夹；点击main.m运行老师给的数据，点击main2.m自动生成数据；弹出gui对话框，选择辨识方法。 (Three kinds of method to identify the object model, including a detailed explanation Operation method: Modify the current path to the folder click main.m to run the teacher to the data, the automatic generation of data and click the main2.m GUI dialog box pops up, the identification method.)

两个传感器进行串联形式连接，融合系统贝叶斯风险曲线以及ROC曲线(Two sensors are connected in series, as well as fusion system Bayesian risk curve ROC curve)

自动滚动demo，IOS编程学习源码，很好的参考资料。(Automatic scrolling demo, IOS programming learning source, a good reference.)

使用辛格模型的卡尔曼滤波器,主要针对机动目标进行跟踪识别(Singh models using Kalman filter)

说明：  离轴数字全息数值重建仿真，基于菲涅尔衍射积分，角谱传递函数等。(Off-axis digital holographic numerical reconstruction simulation)

本文基于毕肖普法和蒙特卡洛法,利用MATLAB编程软件计算了边坡结构的失效概率Pf和对应可靠指标β.在计算上述Pf和对应β时,考虑了土体三个主要基本参数(重度γ、内摩擦角(Ψ)、粘聚力c)的随机特性.利用MATLAB程序的计算结果表明,随机变量对边坡可靠度的影响与基本随机参数对抗滑反力的贡献大小有关,即,贡献大的基本随机参数,它的随机波动对结构失效概率Pf的影响也较大,反之亦然.另外,基于MATLAB的算例计算结果还表明:边坡结构失效概率Pf对内摩擦角(Ψ)较敏感,而对重度y和粘聚力c次之.其次,当同时考虑三个随机变量的联合波动对Pf的影响时发现,当它们在小范围内随机波动时,其联合特性对Pf的影响较敏感,但当它们在大范围内随机波动时,Pf主要受敏感随机变量的影响,而三个随机变量联合作用对Pf的影响和敏感随机变量(Ψ)单独作用时相差不大.由此可见,在实际边坡工程可靠性分析中,土体内摩擦角起主要作用,不容忽视.(Based Bishop method and Monte Carlo method, using MATLAB programming software to calculate the failure probability Pf and the corresponding slope reliability index β structure in the calculation of the above Pf and the corresponding β, consider the three main basic soil parameters (severe γ internal friction angle (Ψ), cohesion c) of the random nature of calculation results using MATLAB program shows that the influence of random variables on the reliability of the basic random slope parameters against anti- slip contribution to the size of the force , that is , the contribution the basic parameters of large random , random fluctuations which affect the probability of structural failure Pf is also larger , and vice versa addition, the calculation based on MATLAB numerical results also show that : the structure of slope failure probability Pf internal friction angle (Ψ) more sensitive , while severe and cohesion c y followed . Secondly, when taking into account the impact of the joint fl)

只是一个关于短时平均过零率的matlab代码(Just a short-time average zero-crossing rate on the matlab code)

fourier series close original signal