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MUD
DS-spread spectrum系统中,噪声为加性高斯白噪声,传统单用户检测,线性解相关多用户检测和最小均方误差多用户检测的性能比较(DS-spread spectrum system, the noise is additive white Gaussian noise, the traditional single-user detection, the linear decorrelating multiuser detection and MMSE Multiuser Detection Performance Comparison)
- 2009-04-01 15:39:29下载
- 积分：1
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GUIDEvideo2
MATLAB GUIDE设计视频教程，简单易学，很容易上手(MATLAB GUIDE Video Design Guide, a simple easy to learn, very easy to get started)
- 2006-11-06 17:47:05下载
- 积分：1
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ICA-wind-prediction
采用最先进的殖民竞争算法Imperialist competition algorithm优化BP神经网络的初始权值、阈值，进行风电功率预测，带数据和实例，ica为主程序(Using the most advanced colonial competitive algorithm Imperialist competition algorithm to optimize the initial weights of BP neural network, threshold, carry wind power prediction with data and examples, ica-based program)
- 2020-11-26 18:49:31下载
- 积分：1
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频谱分析和包络谱分析
频谱分析 自己写的 可以给大家参考 学习学习(Spectrum analysis, written by myself, can give you reference, learning and learning)
- 2019-04-26 09:02:48下载
- 积分：1
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SVR_fix
基于支持向量回归机，预测股价（10天），可以根据自己的需要对参数和预测天数进行灵活调整(Based on support vector regression to predict the stock price (10 days), according to their needs and prediction of parameters for flexible adjustment of the number of days)
- 2014-11-07 16:23:52下载
- 积分：1
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qpskmod2
滤波器高斯噪声模型信道和jake s模型信道上的蒸饺相位调制，matlab源码(QPSK on the filtered gaussion noise channel and jake s model ,matlab code)
- 2014-01-03 16:36:18下载
- 积分：1
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uwbchannels
it good uwb modeling in matlab, execute this and it for your channel modele
- 2012-02-10 20:28:48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
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BER&SIC
Mathimatics calcuations on BER and SIC in 5G NOMA network
- 2017-08-16 18:22:46下载
- 积分：1
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Canny-operator-edge-detection
边缘提取 算子 对初学者有一定参考价值 (edge extraction operator For beginners have a certain reference value)
- 2015-03-16 21:17:56下载
- 积分：1
