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iceemdan.m
说明: 信号iceemdan模态分解,包含测试信号,简单易实现,需要自己安装emd工具箱((It can be used for signal EMD, EEMD, VMD decomposition. Because the algorithm adds its own annotations, it's easy to understand))
- 2021-03-12 20:59:24下载
- 积分:1
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10.1115@1.3227494
燃气轮机建模论文,主要有温度、转速、加速度控制,很详细!(Gas Turbine Modeling Paper)
- 2019-04-17 19:38:07下载
- 积分:1
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自动取款机源代码
自动取款机源代码-ATMs source code
- 2022-07-18 05:27:49下载
- 积分:1
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基本操作的基本操作是四大操作,符号…
浮点数基本运算 浮点数的基本运算主要有四则运算、符号处理、大小比较,以及浮点数分柝等。 包含头文件 "fn.hpp" #include "fn.hpp" 浮点数基本运算 浮点数的基本运算中有加、减、乘、除、取负、绝对值、相等比较等。 加减乘除 加、减、乘、除四个运算极为相似,都是需要两个参数,结果当然也是浮点数了。 例子: // 加 减 乘 除 btil::fn::plus::value // f1+f2 的结果 btil::fn::minus::value // f1-f2 的结果 btil::fn::multiplies::value // f1*f2 的结果 btil::fn::divides::value // f1/f2 的结果 plus::value::f_val // f1+f2 的结果的值 struct one { static const double f_val = 1.0 } // 两个浮点数 struct two { static const double f_val = 2.0 } minus::value::f_val == 0.5 取负 取负运算就是取一个浮点数的负数。-float basic operations of the basic operations are four major operations, symbols, sizes, and float-watchman"s rattle so. The first document contains "fn.hpp"# include "fn.hpp" float float basic operations of the basic operations are, plus or minus, riding, except from negative, in absolute terms, a comparison of the same. The a
- 2022-05-22 17:45:03下载
- 积分:1
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利用java平台编程的小游戏,具体实现了俄罗斯方框的各种功能....
利用java平台编程的小游戏,具体实现了俄罗斯方框的各种功能.-use java programming platform for small game, concrete realization of the Russian box of the various functions.
- 2022-04-28 05:42:29下载
- 积分:1
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distance-between-objects
利用python+opencv测量图片中目标物体之间的距离(Measuring distance between objects in an image with OpenCV)
- 2021-03-30 17:09:10下载
- 积分:1
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000
实现搜索功能 在百度百科中自由发挥 是随意搜索 不对的另找(Implementing Search Function)
- 2019-03-26 10:53:31下载
- 积分:1
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AY_Emul_Version24_6
ay emulator3 code in c language
- 2020-06-17 01:40:01下载
- 积分:1
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TensorFlowSharp-master
TensorFlow 是谷歌的第二代机器学习系统,按照谷歌所说,在某些基准测试中,TensorFlow的表现比第一代的DistBelief快了2倍(Artificial intelligence source code)
- 2018-03-22 14:54:47下载
- 积分:1
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DRIVE_train
说明: 训练卷积神经网络进行视网膜血管分割的数据集,DRIVE,训练集40张,RGB图像。分为原始图和专家手工分割的ground truth。(The data set, DRIVE, 40 pieces of training set and RGB images were trained by convolutional neural network for retinal vascular segmentation. It is divided into original drawing and ground truth manually segmented by experts.)
- 2020-03-20 09:58:19下载
- 积分:1