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Untitled-
matlab中关于地震合成记录的制作，用雷克子波和合成速度，制作的合成地震记录，为褶积模型。(matlab in the production of synthetic seismic records, with a the Ricker wave and synthetic speed production of synthetic seismic record is the convolution model.)
- 2012-10-29 10:28:02下载
- 积分：1
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m_f7eix3
通过matlab的simulink进行模糊PID控制，里面包括了3个模型，分别是bjjtKT模型， JbTreZD 模型和模糊控制核心算法模型，每个模型的fuzzy控制模块都是通用的，可以移植到其他环境。?
(Fuzzy PID control through matlab s simulink, which includes three models, each model isbjjtKT , JbTreZD core model and fuzzy control algorithm model, fuzzy control module for each model is generic and can be ported to other environments.
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- 2016-01-13 14:11:16下载
- 积分：1
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ganqai_v60
单径或多径瑞利衰落信道仿真，ldpc码的编解码实现，基于人工神经网络的常用数字信号调制。( Single path or multipath Rayleigh fading channel simulation, Codec ldpc code implementation The commonly used digital signal modulation based on artificial neural network.)
- 2016-05-14 14:19:21下载
- 积分：1
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icpCpp
在matlab平台上实现了迭代最近点算法（ICP），功能齐全(a full-featured iterative closest point algorithm (ICP) achieved On matlab platform successfully)
- 2014-05-12 17:01:31下载
- 积分：1
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svpwm12345
说明： 这是一人逆变器电路的仿真，用SVPWM调制方法实现。(This is one of the inverter implementing SVPWM modulation method, using simulation.)
- 2010-04-27 19:41:37下载
- 积分：1
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MATLAB
信道仿真，用MATLAB 进行无线信道的仿真技术，重点是多径衰落信道(failed to translate)
- 2013-05-04 13:03:46下载
- 积分：1
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tft1
MATLAB时频分析的原代码（一部分）！！(Time-frequency analysis of the original MATLAB code (part of)! !)
- 2009-12-07 19:34:28下载
- 积分：1
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VS-2005-CSharp-and-Matlab7
这是一款实现是在vs2005编程过程中，如何调用matlab7的代码的软件，着实可用(This is a realization in vs2005 programming process, how to call matlab7 code of the software is, indeed, can be used)
- 2011-12-06 11:49:25下载
- 积分：1
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pmsmhuamo
直线电机滑模控制仿真，对直线电机滑模控制方法进行研究(Linear motor sliding mode control simulation of linear motor, sliding mode control method research)
- 2020-12-02 16:39:25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
