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csdp6.1.0winp4
csdp algorithm in matlab
- 2010-10-28 16:04:13下载
- 积分：1
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dsss2008
使用matlab来实现直接序列扩频的调制和解调(Using matlab to achieve direct sequence spread spectrum modulation and demodulation)
- 2008-06-11 10:50:53下载
- 积分：1
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harris-corner-detection
harris角点检测。使用米粒图片可对角点的地方加入标记像素加以显示(harris corner detection)
- 2013-12-21 19:04:33下载
- 积分：1
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machine_asynchrone2
说明： asynchronous motor
model sumilnk
- 2020-03-05 20:20:46下载
- 积分：1
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pipeline
SIMULINK® MODEL FOR SIMULATION OF A 14-BIT PIPELINE ADC(SIMULINK ? MODEL FOR SIMULATION OF A 14-BIT PIPELINE ADC)
- 2008-12-17 16:50:19下载
- 积分：1
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sigdemo1
信号处理示例,用matlab编写的信号处理的小示例程序(Example of signal processing, signal processing using matlab sample program)
- 2012-07-09 16:29:50下载
- 积分：1
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AMO
动物迁徙算法(AMO)，是最新的算法，可以很好的解决函数优化问题(Animal migration algorithm (AMO), is the latest algorithm, can solve function optimization problems)
- 2013-12-18 20:44:19下载
- 积分：1
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matlabgaojietongjiliang
高阶统计量目前应用越来越广泛，它比现在的一般统计量更能反应信号的特征，具有很好的应用前景。(Order statistics used widely at present, it is the general statistics than it is now more characteristic response signals, with good prospects.)
- 2011-01-12 11:21:04下载
- 积分：1
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Mote_Carlo_snr_ber
蒙特卡洛法对2psk,2fsk通信系统进行仿真，计算不同信噪比(SNR)条件下的误码率（BER）并画图(2PSK,2FSK communication system simulation using Monte Carlo method in MATLAB, calculating the different BERs for different SNRs and plot figures.)
- 2014-07-04 13:49:22下载
- 积分：1
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PSOTrainBP
BP神经网络容易陷于局部极小值，PSO算法在无约束非线性函数优化方面性能优越，通常可以直接找寻到全局最优解，即使不能搜多到全局最优解，也距离全局最优点不远。当然，基本PSO算法陷入局部极值也是有的。对于这个缺点目前还没有找到比较有效、省市的解决方案。本案例实现利用PSO算法和BP算法共同训练神经网络，先将网络进行PSO算法训练，然后BP算法接着进行小范围精细搜索，PSO算法训练神经网络的本质就是将输出误差函数（即能量函数）看成目标函数，PSO对能量函数进行全局寻找最小值。(BP neural networks are prone to local minimum values. The PS algorithm has superior performance in the optimization of unconstrained nonlinear functions. It can usually find the global optimal solution directly. Even if it can not find more global optimal solutions, it is not far from the global best. Of course, there is also a local extreme of the basic PO algorithm. For this shortcoming, there is no more effective, provincial and municipal solution. This case realizes the use of the SO algorithm and the BP algorithm to train the neural network. First, the network is trained in the SO algorithm, and then the BP algorithm is followed by a small range of fine searches. The essence of the PO algorithm training neural network is to regard the output error function(ie, the energy function) as the objective function, and the PO seeks a global minimum value for the energy function.)
- 2018-08-06 11:04:45下载
- 积分：1
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