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radar_matlab
利用MATLAB中的m文件和Simulink共同实现radar的仿真！(M in the use of MATLAB and Simulink document to achieve a common radar simulation!)
- 2009-01-14 20:36:30下载
- 积分：1
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SVC
建立LibSVM预测模型，基于网格算法、粒子群算法、遗传算法优化了模型参数，并由最终模型预测了给定切削参数下零件的粗糙度等级。(Establish LibSVM prediction model, grid-based algorithm, particle swarm optimization, genetic algorithm to optimize the parameters of the model, the final model prediction given by the cutting parameters of parts roughness class.)
- 2016-11-27 21:14:20下载
- 积分：1
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pcm_encode_decode
说明： 该程序为关于pcm编码和pcm解码的matlab实现(The program on the pcm coding and decoding matlab achieve pcm)
- 2008-09-10 15:55:17下载
- 积分：1
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malloc
ics 的malloc实现，采用分离存储，模拟memory的malloc和free等操作。(to realize the molloc and free operation, the lab of ics class)
- 2014-01-09 10:36:34下载
- 积分：1
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amam_ampm
功放非线性仿真，输入为BPSK信号,功放模型为volterra(Amplifier nonlinear simulation, the input signal is BPSK)
- 2021-04-16 09:48:53下载
- 积分：1
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2012B
2012年全国研究生数学建模-基于卫星无源探测的空间飞行器的轨道估计，里面包括详细的设计求解过程，含有matlab解算的M文件。(2012 National Mathematical Modeling graduate- satellite-based passive probe spacecraft orbit estimate, which includes detailed design solution process, the file containing the M matlab solver.)
- 2013-12-16 17:30:57下载
- 积分：1
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chuixiangqiudao
该程序能够对得到的重力场数据进行垂向求导，对于重力数据处理很有用。(The program can be on the gravity field data were obtained for the vertical derivative of gravity data processing, very useful.)
- 2014-03-15 22:55:22下载
- 积分：1
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LISSU-MSU-FISU
lisu misu fisu analysis
- 2012-01-09 04:03:55下载
- 积分：1
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IEEE802.11asystermusinginmatlab
关于IEEE 802.11a 系统的图形界面仿真(The file is "IEEE80211a.mdl" file to be opened using simulink. The model is self-explanatory. It is built up based on the
software techniques )
- 2009-02-21 02:30:34下载
- 积分：1
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SOM_NN_CODE
An important aspect of an ANN model is whether it needs
guidance in learning or not. Based on the way they learn, all
artificial neural networks can be divided into two learning
categories - supervised and unsupervised.
• In supervised learning, a desired output result for each input
vector is required when the network is trained. An ANN of the
supervised learning type, such as the multi-layer perceptron, uses
the target result to guide the formation of the neural parameters. It
is thus possible to make the neural network learn the behavior of
the process under study.
• In unsupervised learning, the training of the network is entirely
data-driven and no target results for the input data vectors are
provided. An ANN of the unsupervised learning type, such as the
self-organizing map, can be used for clustering the input data and
find features inherent to the problem.
- 2015-04-15 00:03:32下载
- 积分：1
