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norm
Matlab program for normalized frequency derivation and integration in fiber coupler
- 2010-06-06 17:10:12下载
- 积分：1
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decoding_of_convolutional_codes_in_CDMA_channel
CDMA业务信道卷积解码实现，根据上下行信道区分生成不同码率的卷积码序列，original_sequence是原始输入序列，channel_select是信道选择参数，其中下行码率为1/2，上行信道为1/3 (CDMA business channel decoder Convolutional achieve, according to the distinction between upper and lower line to generate a different channel bit rate of the convolutional code sequence, original_sequence is the original input sequence, channel_select is channel selection parameters, which downlink bit rate of 1/2, upstream channel for the 1/3)
- 2008-06-28 10:58:46下载
- 积分：1
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Lightout
In this we analyze the light out game with matlab.(Linear Algebra analyzing on Lights Out Game )
- 2014-01-06 06:49:49下载
- 积分：1
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Massive-MIMO-channel-model
最新大规模天线阵列信道建模论文集，对研究大规模天线信道容量颇有帮助.(The latest paper set of Massive MIMO channel modeling. It is very useful for those who are interesting in Massive MIMO channel capacity.)
- 2016-08-30 16:55:25下载
- 积分：1
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xiaobobao
一个PDF文件，基于小波包的图像压缩处理，并附几个相关小程序(Image compression based on wavelet packet processing, along with several related applets)
- 2010-08-26 16:24:40下载
- 积分：1
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HausdorffDimension
利用Hausdoff距离进行模板匹配，此方法简洁快速，具有很好的鲁棒性能(Template matching using Hausdoff distance, this method is simple and quick, has good robust performance)
- 2010-09-09 15:31:45下载
- 积分：1
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LeverageSpaceModel
Leverage Space Portfolio Model
- 2010-05-14 12:02:10下载
- 积分：1
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mohu-PID-shili
matlab开发环境下的详细的模糊控制算法的讲解与实例，通过了仿真的实例(Detailed matlab fuzzy control algorithm development environment and examples to explain, through the simulation)
- 2015-05-20 08:58:16下载
- 积分：1
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vtshitoyan-plotConfMat-1787253
说明： 就是用MATLAB绘制,一个颜色编码的混淆矩阵。(MATLAB is used to draw a color coded confusion matrix.)
- 2020-07-15 19:08:50下载
- 积分：1
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NFEA
张量分解提取生物学特征，NFEA: Tensor Toolbox for Feature
Extraction and Applications(
Data in modern applications such as BCI based on EEG signals often contain multi-modes due to
mechanism of data recording, e.g. signals recorded by multiple-sensors (electrodes), in multiple trials,
epochs, for multiple subjects and with different tasks, conditions. Moreover, during processing and
analysis, dimensionality of the data could be augmented due to expression of the data into sparse
domain (time-frequency representation) by different transforms such as STFT, wavelets. That means
data itself is naturally a tensor, and has multilinear structures. Standard approaches which analyze
such data by considering them as vectors or matrices might be not suitable due to risk of losing the
covariance information among various modes. To discover hidden multilinear structures, features
within the data, the analysis tools should reflect the multi-dimensional structure of the data)
- 2020-07-21 16:48:45下载
- 积分：1
