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broadband-signal-line-antenna
通过设定信号和阵源参数，以及阵列相位误差、阵列幅度误差，对阵列输出相关矩阵进行特征分解，生成宽带信号(By setting the parameter of the signal and the array source, as well as the the array phase error, the array amplitude error characteristic decomposition of the correlation matrix of the array output, and generating a wideband signal)
- 2013-04-14 09:33:42下载
- 积分：1
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QPSK-MSK-QAM-OFDM
QPSK-MSK-QAM-OFDM matlab仿真m文件(QPSK-MSK-QAM-OFDM matlab simulation m file)
- 2014-01-09 18:02:43下载
- 积分：1
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CONV_M
计算离散时间信号间卷积和，并确定卷积信号的起止时刻点
信号处理卷积例程(convolution routine for signal processing
% --------------------------------------------------
% [y,ny] = conv_m(x,nx,h,nh)
% y = convolution result
% ny = support of y
% x = first signal on support nx
% nx = support of x
% h = second signal on support nh
% nh = support of h)
- 2020-10-04 13:47:40下载
- 积分：1
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foa
说明： Fruit Fly Optimization
- 2019-05-05 08:17:21下载
- 积分：1
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New-Compressed-(zipped)-Folder
separates the voiced and unvoiced portion and performs STFT
- 2013-03-22 03:26:31下载
- 积分：1
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CurvrFitting
非晶态硅Forouhi-Bloomer模型参数拟合计算
半导体材料对光的吸收作用用k表示。材料的k一般都会随着入射光的波长的改变而改变。其变化规律因材料而异，但是对于同一类型的材料常可以用一种模型来表示。但是对于特定的材料，其模型参数的确定常的通过曲线拟合的方法得到的。
题目：
对于非晶态的硅，其K满足如下模型：
其中A、B、C为系数，且均大于零，并满足4C-B2>0 Eg为禁带宽度，值为1.3 ev , E为能量。
现已知一组E对应的K值，通过曲线拟合的方法求出A,B,C。(Curve fitting)
- 2013-03-10 19:36:03下载
- 积分：1
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Exercise
sequence code simulation by matlab
- 2009-07-11 18:04:45下载
- 积分：1
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Untitled5_2ASK
2ask调制，波形生成，图像生成，波形识别(2ask modulation, waveform generation, image generation, waveform recognition)
- 2012-08-10 10:31:43下载
- 积分：1
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repoet3-4
Even though the RAND functions can be useful for generating uniform random numbers, most of the time we will need to model various non-uniform distributions, such as the Normal, Lognormal, Exponential, Gama, and others. In fact, the Uniform distribution arises in a very limited number of applications, so the chances are our worksheet models will rarely deal with this distribution
- 2013-03-14 15:32:20下载
- 积分：1
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LGME
input:
param: parameters of the LMGE algorithm
param.mu, param.alpha, param.beta are regularization parameters.
param.p: dimension of shared subspace
param.k: number of nearest neighbors for Laplacian matrix
X: input data
Y: groundtruth labels
output:
model.W: matrix W
Reference:
Web and Personal Image Annotation by Mining Label Correlation with
Relaxed Visual Graph Embedding
Yi Yang, Fei Wu, Feiping Nie, Heng Tao Shen, Yueting Zhuang and Alex Hauptmann.
contact: yyang@cs.cmu.edu
(Web and Personal Image Annotation by Mining Label Correlation with
Relaxed Visual Graph Embedding
)
- 2013-05-15 19:51:56下载
- 积分：1
