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yssy
北京理工大学理学院物理系大学物理演示实验的结果和过程(Beijing University of Technology Department of Physics, Physics Institute of the results and the process of demonstration experiments)
- 2010-03-12 14:59:52下载
- 积分：1
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ASK_BPSK_etc
Simulating ASK and BPSK and more
- 2012-01-11 19:04:26下载
- 积分：1
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stft
short-time fourier transform
- 2015-04-07 00:05:08下载
- 积分：1
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bus_test
matlab用于进行母线负荷预测，选择K作为样本的时间长度，T为连续预测的时间。数据格式为2个表格，一个是负荷数据一个是日期。(matlab used for bus load forecasting, K as the length of the sample, T is continuous forecast time. The data format is two forms, one is a load of data is a date.)
- 2013-07-07 20:40:53下载
- 积分：1
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2
说明： MATHCENTRER下载的雷达杂波仿真系统，非常有参考意义(MATHCENTRER download of radar clutter simulation system, meaning a very good reference)
- 2010-08-27 22:38:51下载
- 积分：1
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IFFTOFDM
基于傅立叶变换的ofdm模型信道是高斯信道(OFDM model based on fft transform)
- 2013-05-19 10:28:02下载
- 积分：1
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RICE-UNIVERSITY
标准压缩感知（CS）理论决定了可靠的信号恢复是可能给M= O（KLOG（N / K））的测量。我们证明了它可以通过利用超越简单的稀疏性和可压缩性由包括价值观和信号系数的位置之间的依赖关系更加逼真信号模型大大降低Mwithout牺牲的鲁棒性。(The standard compressive sensing (CS) theory dictates that robust signal recovery is possible from M=O(Klog(N/K)) measurements. We demonstrate that it is possible to substantially decrease Mwithout sacrificing robustness by leveraging more realistic signal models that go beyond simple sparsity and compressibility by including dependencies between values and locations of the signal coefficients.
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- 2014-01-06 20:07:54下载
- 积分：1
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nodeinsertbeforenodeancestor
param factory document factory, may not be null Source Code for Andriod.
- 2014-01-13 20:57:29下载
- 积分：1
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ieee13busdoubletunedfilter_at7thand10thbus
ieee 13 bus with double tuned filter at 7th and 10th bus
- 2012-04-30 12:19:08下载
- 积分：1
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dispatch
Finally, probability analysis, based on the chosen database, is performed and
judgment whether the person is recognized is pronounced. Two different modeling
techniques can be suggested for purposes of person identification or verification. The
approach based on Hidden Markov Speaker Models (HMMs) with the mixtures of
Gaussian distribution is text-dependent one. For this technology a speaker is
described by a set of HMMs, constructing the set of speech groups spoken by that
person. The speech groups may be phonemes or words [7]. The text-independent
technology is rested upon Gaussian Mixture Speaker Models. For this technology
each speaker is defined by only one model describing all utterances of that person.
Identification in the range of both approaches is executed by evaluation of maximum
a posteriori probability [7].
- 2013-12-14 14:24:24下载
- 积分：1
