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VirtualSignalGeneratoring
说明： 虚拟信号发生器是一个GUI产生（1）周期函数（包括正弦，三角，锯齿，和方波）不同振幅，频率和阶段 （2）不同振幅平方脉冲序列，频率，分期及职责循环 （3）双参数指数函数 （4）高斯曲线之间的范围不同，标准偏差和手段，以及（5）不同幅度的高斯噪声。你也可以添加一个偏移或高斯噪声的前四个以上任何职能。图形用户界面还能使用户可以添加指定的信号（或者乘以它的）一个先前定义的信号。
(Virtual Signal Generator is a GUI that produces (1) periodic functions (including sinusoidal, triangle, sawtooth, and square waves) of varying amplitudes, frequencies, and phases (2) square pulse trains of varying amplitudes, frequencies, phases, and duty cycles (3) two-parameter exponential functions (4) Gaussian curves of varying bounded areas, standard deviations, and means and (5) Gaussian noise of varying amplitude. One can also add an offset or Gaussian noise to any of the first four functions above. The GUI also enables the user to add the designated signal to (or multiply it by) a previously defined signal.
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- 2010-04-18 12:04:45下载
- 积分：1
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am
说明： AM调制及单边带调制 程序规范易懂,It will be helpful to you!(AM modulated single-sideband modulation procedures and norms understandable, It will be helpful to you!)
- 2006-04-26 23:37:26下载
- 积分：1
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LCMV
线性约束最小方差波束形成
（仿真中在两个期望方向上形成波束指向，在两个干扰方向上形成零陷）(LCMV，linearly cinstrainted minimum variance)
- 2012-04-25 20:28:45下载
- 积分：1
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dea
在人们的生产活动和社会活动中常常会遇到这样的问题：经过一段时间之后，需要对具有相同类型的部门或单位（称为决策单元）进行评价，其评价的依据是决策单元的“输入”数据和“输出”数据，输入数据是指决策单元在某种活动中需要消耗的某些量，例如投入的资金总额，投入的总劳动力数，占地面积等等；输出数据是决策单元经过一定的输入之后，产生的表明该活动成效的某些信息量，例如不同类型的产品数量，产品的质量，经济效益等等．再具体些说，譬如在评价某城市的高等学校时，输入可以是学校的全年的资金，教职员工的总人数，教学用房的总面积，各类职称的教师人数等等；输出可以是培养博士研究生的人数，硕士研究生的人数，大学生的人数，学生的质量（德，智，体），教师的教学工作量，学校的科研成果（数量与质量)等等．根据输入数据和输出数据来评价决策单元的优劣，即所谓评价部门（或单位）间的相对有效性．(In people s productive activities and social activities often encounter such a problem: After a period of time, need to have the same type of departments or units (referred to as the decision-making unit) to evaluate the basis for his assessment in decision-making unit "input "Data and" output "data, input data refers to the decision-making unit in certain activities that need to consume certain amount of, for example, the total funds invested, the investment of the total workforce number, area, etc. output data through the decision-making unit After a certain input to produce the show the effectiveness of the activity of certain amount of information, such as different types of product quantity, product quality, economic efficiency and so on. Be more specific, said, for example, in evaluating a city s institutions of higher learning, the input can be the year the school funds, the total number of faculty, teaching a total area of space, all kinds of titles the number of teachers, etc)
- 2009-09-10 13:09:25下载
- 积分：1
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motionEstDS
Block matching algorithm,find the most similarity block in the neighborhood.Block matching algorithm,find the most similarity block in the neighborhood.Block matching algorithm,find the most similarity block in the neighborhood.
- 2010-08-05 20:20:57下载
- 积分：1
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lms
自适应滤波，LMS算法，matlab编写，线谱提取(Adaptive filtering, LMS algorithm, matlab prepared line spectrum extraction)
- 2013-07-16 14:47:03下载
- 积分：1
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Untitled7
系统辨识函数的介绍，包括最小二乘法，和辅助变量法(Introduction to system identification function, including the least squares method, and the instrumental variable method)
- 2011-05-23 10:04:58下载
- 积分：1
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dynamic-path-planning
(不错的一篇文章，已被EI收录)模型预测控制（model predictive control，MPC）路径规划算法适用于三维动态环境下的无人机（un-manned aerial vehicle，UAV）路径规划；动态贝叶斯网络（dynamic Bayesian network，DBN）能够有效推理战场态势，对无人机进行威胁评估。针对威胁尾随无人机时的路径规划问题，构建 DBN 威胁评估模型，将 UAV 在战场环境中的威胁态势用威胁等级概率表示，与 MPC 路径规划算法相结合，得到基于 DBN 威胁评估的 MPC UAV 路径规划算法。通过多组仿真分析表明，在三维动态环境下，特别是威胁尾随无人机时，基于 DBN 威胁评估的 MPC无人机路径规划算法可以得到有效的无人机路径。(The model predictive control (MPC)path planning algorithm can solve the problem of dynamic unmanned aerial vehicle (UAV)path planning.Dynamic Bayesian network (DBN)is an effective tool for rea-soning and threat assessment.Considering the problem of path planning when the dynamic threat tags the UAV,the MPC path planning algorithm combined with DBN threat assessment is presented,which used the threat lever probability to describe the threat situation.A group of simulations demonstrate the efficiency of MPC three-dimensional dynamic path planning algorithm for UAV based on DBN threat assessment especially when the dynamic threat tags the UAV.)
- 2021-04-25 15:48:46下载
- 积分：1
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LSTM-example
说明： 这是一个深度神经网络LSTM的教程，里面包含许多例子(Example of Lstm network)
- 2020-07-07 15:24:53下载
- 积分：1
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schroedertest1
Schroeder s reverberator implemented by matlab
- 2010-06-07 19:41:01下载
- 积分：1
