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old_winner
old-winner的无线信道模型仿真matlab程序(old-winner of the radio channel model simulation matlab program)
- 2014-12-09 11:41:50下载
- 积分：1
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matlab_code
说明： MATLAB神经网络30个案例分析相应matlab数据和源代码(MATLAB neural network analysis of 30 cases, the data and the corresponding source code matlab)
- 2011-02-22 19:05:59下载
- 积分：1
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BP-FUZZY
将控制表中的控制量转变为实际的控制量 控制表中的输出尺度变换后的输出 (The control table of the control amount is converted to the actual control amount output after the output of the scale transformation table)
- 2013-03-03 16:31:16下载
- 积分：1
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bpass
It will the user to plot various graph with different x and y notations
- 2013-04-04 09:34:35下载
- 积分：1
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UC-CODE
Unit Commitment in Power Systems
- 2015-03-16 13:34:52下载
- 积分：1
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EKF-on-SOC-Estimation-master
EKF-SOC估算，用于电池的soc估算(EKF-SOC estimation for battery SOC estimation)
- 2020-10-21 16:07:23下载
- 积分：1
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朴素贝叶斯
调用过程 CM = Confusion_matrix(train_predicts, train_targets) [combining_predicts, errorrate] = combining_NB(DP, test_targets, CM) DP，三维数组，(i,j,k)为第k个样本的DP矩阵 targets 为 0 1 2 (process called CM = Confusion_matrix (train_predicts, train_targets) [combining_predicts, errorrate] = combining_NB (DP, test_targets, CM) DP, three-dimensional array (i, j, k) for the k samples of DP matrix targets for 0 1 2 )
- 2005-08-06 09:48:36下载
- 积分：1
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pcaPsvm1
MATLAB编写的人脸识别程序，很经典的。(MATLAB face recognization)
- 2011-08-16 17:22:07下载
- 积分：1
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DSPFFT
介绍了基2时域抽取法FFT的原理和算法,并在MATLAB仿真软件的辅助下、在数字信号处理
DSP上实现。
(Describes the radix-2 time-domain extraction principle and FFT algorithms, and the aid of MATLAB simulation software, in digital signal processing DSP to achieve.)
- 2009-12-11 20:56:59下载
- 积分：1
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SCSToolboxV2
将压缩感知用于谱估计中，根据论文谱压缩感知的一些程序(Compressive sensing (CS) is a new approach to simultaneous sensing and compression of sparse
and compressible signals based on randomized dimensionality reduction. To recover a signal from its
compressive measurements, standard CS algorithms seek the sparsest signal in some discrete basis or
frame that agrees with the measurements. A great many applications feature smooth or modulated signals
that are frequency sparse and can be modeled as a superposition of a small number of sinusoids.
Unfortunately, such signals are only sparse in the discrete Fourier transform (DFT) domain when the
sinusoid frequencies live precisely at the center of the DFT bins. When this is not the case, CS recovery
performance degrades significantly. In this paper, we introduce a suite of spectral CS (SCS) recovery
algorithms for arbitrary frequency sparse signals. The key ingredients are an over-sampled DFT frame, a
signal model that inhibits closely spaced sinusoids, and classical sinusoid parameter e)
- 2012-06-29 10:10:42下载
- 积分：1
