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liutitihuan
Matlab编程实现简单的流体替换以及前后合成地震记录对比，含word文档及图示说明。(Matlab programming simple fluid replacement and synthetic seismograms before and after comparison, including word documents and illustrations.)
- 2010-12-15 17:16:47下载
- 积分：1
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suanfadaquan
各种算法的集合，自学matlab很不错的资料，在这里和大家共享啦(suanfa matlab)
- 2012-04-24 12:44:36下载
- 积分：1
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codebuilder_5u0y3a
这是一个课程设计的MATLAB代码，他是一个利用尺度法和测度法快速计算一般分形图形分形维数的程序，只能处理lclGfY格式和hxpzeVy的分形图形，运行效率高。
(This is a course designed MATLAB code, he is a use of scales and measurement method for rapid calculation of general fractal graphics fractal dimension of the program, can only handle lclGfY format and hxpzeVy fractal graphics, high operating efficiency.
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- 2015-12-28 22:54:14下载
- 积分：1
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fuzzy_adaptive_robusthuamo
简单的模糊自适应鲁棒滑模控制程序，结合了模糊控制，鲁棒控制和滑模控制的优点(Simple fuzzy adaptive robust sliding mode control program, combined with fuzzy control, robust control and the advantages of sliding mode control)
- 2016-12-27 21:01:34下载
- 积分：1
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通信系统仿真
说明： cdma、gold码、通信系统仿真、通信工程(cdma echnology communication engineer)
- 2018-12-30 12:33:29下载
- 积分：1
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simu_gps
说明： 南航写的gps仿真器源码，用matalb编写的一个比较简单的GPS仿真器，供大家学习和参考。(China Southern gps emulator written source, matalb prepared using a relatively simple GPS simulator for them to learn from and reference.)
- 2008-11-08 15:25:37下载
- 积分：1
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High-power-double--lasers-Simulation
高功率双包层光纤激光器及仿真,端面抽运的掺Yb双包层光纤激光器的基本理论及其仿真(High power double clad fiber lasers and simulation, end-pumped Yb-doped double-clad fiber lasers basic theory and simulation)
- 2013-08-27 09:47:37下载
- 积分：1
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BayesClassification-Matlab
简单的贝叶斯分类器的Matlab实现，并提供了三个实例(Simple Bias classifier Matlab implementation, and provides three examples)
- 2014-12-12 10:33:56下载
- 积分：1
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Radar-system-design-on-matlab
主要讲解雷达的工作原理以及matlab仿真过程(This an paper about radar how to work.)
- 2012-10-25 14:53:44下载
- 积分：1
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SPMForSensorDataAnalytic
These files contain all the code necessary to run the example in the Webinar "Signal Processing for Machine Learning in MATLAB". They also include code to automate the download and preparation of the dataset used.
In that webinar we presented an example of a classification system able to identify the physical activity that a human subject is engaged in, solely based on the accelerometer signals generated by his or her smartphone.
We used consolidated signal processing methods to extract a fairly small number of highly-descriptive features, and finally trained a small Neural Network to map the feature vectors into the 6 different activity classes of a pre-recorded dataset.
The topics discussed include:
* Signal manipulation and visualisation
* Design and application of digital filters
* Frequency-domain analysis
* Automatic peak detection
* Feature extraction from signals
* Train and test of simple Neural Networks
- 2018-05-15 11:54:21下载
- 积分：1
