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sin-signal-phase-noise
该资料是一个matlab仿真程序。实现对噪声中正弦信号相位的估计。利用matlab仿真得到的PDF估计 对不同的信噪比（SNR）情况进行Monte Carlo仿真(This information is a matlab simulation program. Realize sine signal phase noise estimation. Obtained by simulation using matlab PDF estimates different signal to noise ratio (SNR) conducted Monte Carlo simulation.)
- 2013-11-23 19:22:51下载
- 积分：1
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APF_ip_iq
这是一个APF仿真模型，谐波检测采用ipiq方法，电流跟踪控制采用滞环控制，直流侧电压为PI控制(This is an APF simulation model, harmonic detection using ipiq method, the current tracking control using hysteresis control, DC side voltage for the PI control)
- 2017-04-02 11:57:50下载
- 积分：1
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PHR
Lagrange乘子法
用于解约束最优化问题
(Lagrange multiplier method for the solution of unconstrained optimization problem)
- 2007-09-26 12:39:03下载
- 积分：1
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readata
用于读经过采集处理得到的MAT文件代码，非常好用(Reading through the collection and processing for the MAT file code are very easy to use)
- 2011-04-30 09:56:59下载
- 积分：1
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dmusic
基于music的自适应滤波器matlab的应用仿真(Based on the music of the adaptive filter matlab application simulation)
- 2012-09-24 16:36:57下载
- 积分：1
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CHBPWM
三相电流滞环控制，适合初学者理解，可以直接运行(Hysteresis control，CHBPWM)
- 2015-03-26 13:38:28下载
- 积分：1
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ANN_matlab_916006583
一个介绍如何用matlab模拟实现ANN的文章，对于学习ANN的人来说非常值得一读(1 describes how to use matlab simulation to achieve ANN article, for those who study ANN is very well worth reading)
- 2009-12-30 09:39:03下载
- 积分：1
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bhmie-matlab
最为经典的BHMie算法(matlab)，适合刚接触仿真mie散射的同学。(The most famous BHMie codes based on matlab, is more suitable for the students who just start from the beginning of simulation of mie scattering.)
- 2012-06-05 21:54:04下载
- 积分：1
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image
image enhancement in time domain and frequency domain
- 2014-09-29 22:05:19下载
- 积分：1
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BP-and-SOM
BP（Back Propagation）网络是一种按误差逆传播算法训练的多层前馈网络，是目前应用最广泛的神经网络模型之一。
BP网络能学习和存贮大量的输入-输出模式映射关系，而无需事前揭示描述这种映射关系的数学方程。
它的学习规则是使用最速下降法，通过反向传播来不断调整网络的权值和阈值，使网络的误差平方和最小。BP神经网络模型拓扑结构包括输入层（input）、隐层(hide layer)和输出层(output layer)。
通过对信息的提取以及记忆，用作分类、聚类、预测等。
(BP (Back Propagation) network is a pre-press error back propagation algorithm Multilayer feedforward network, is one of the most widely used neural network model. BP network can learn and store a large amount of input- output mode mapping without prior reveal mathematical equations that describe the mapping relationship. It s learning rule is to use the steepest descent method, by reverse spread to constantly adjust the network weights and thresholds and the minimum sum of squared error of the network. BP neural network topology comprises an input layer (input), hidden layer (hide layer) and an output layer (output layer). By extracting information and memory, it is used as classification, clustering, prediction.)
- 2016-03-09 10:41:33下载
- 积分：1
