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bestdimensionm
在用混沌理论和神经网络进行短期负荷预测时，神经网络的输入的选择至关重要，该程序用matlabl实现了基于混沌时间序列的嵌入维数的选择(using chaos theory and neural networks for short-term load forecasts, the neural network is essential to choose an input, The procedure used matlabl achieved a chaotic time series based on the embedding dimension of choice)
- 2020-09-24 10:57:48下载
- 积分：1
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crossrange
基于matlab合成孔径雷达在方位相上的距离仿真(Distance simulation of synthetic aperture radar (SAR) in the orientation phase)
- 2012-06-19 16:23:21下载
- 积分：1
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hough-circle
读入图像，对图像进行预处理，随后检测边缘，对得到的图像进行二值化，然后进行hough变换，获得圆边界，将此图与原图叠加，增强边缘(Read in the image, the image pre-processing, followed by edge detection, binarization on the image to get, and then the hough transform to obtain the circular boundary, this map and the original image overlay to enhance the edge)
- 2012-07-23 17:31:12下载
- 积分：1
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mallatxiaobopu
小波谱分析mallat算法经典程序-此示意程序用D实现小波谱分析(Small spectral analysis the Mallat algorithm classic program- This indicated the small spectral analysis procedures D)
- 2013-04-19 22:38:08下载
- 积分：1
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SPSOS
多目标的粒子群算法例程，可以通过该粒子群遗传优化算法，进行matlab编程仿真，得到优化结果(Particle Swarm Optimization)
- 2015-03-19 09:21:45下载
- 积分：1
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Sample150
蓝牙信号仿真，通过matlab中simulink模块，进行仿真提取参数(Bluetooth signal simulation, simulation matlab simulink module extraction parameters)
- 2013-05-09 19:41:56下载
- 积分：1
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pca
pca算法代码，清晰有注释，详细功能详细功能(PCA algorithm code, clear notes, detailed functional)
- 2013-05-21 13:12:26下载
- 积分：1
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FIR维纳滤波器的应用：
FIR Wiener Filter Applications:
The following demos demonstrate the corresponding applications
fir_f - FIR Wiener Filter
fir_p - FIR Wiener Linear Predictor
fir_nc - FIR Wiener Noise Cancellation -FIR Wiener Filter Applications:
The following demos demonstrate the corresponding applications
fir_f- FIR Wiener Filter
fir_p- FIR Wiener Linear Predictor
fir_nc- FIR Wiener Noise Cancellation
- 2022-01-26 00:18:16下载
- 积分：1
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signal
Generating periodical signals in matlab
- 2013-09-06 23:11:01下载
- 积分：1
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快速扩展随机生成树算法处理程序
MIMO OFDM matlab仿真,有CDF三角函数曲线/三维曲线图，可实现对二维数据的聚类，matlab编写的元胞自动机，数据包传送源码程序，是机器学习的例程。
- 2023-05-31 22:35:03下载
- 积分：1
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