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Mie_matlab
说明： Mie散射模型，Christian Matzler版，附带Matlab Functions for Mie Scattering and Absorption 手册(Mie scattering model, Christian Matzler version, with Matlab Functions for Mie Scattering and Absorption Guide)
- 2021-02-05 11:09:57下载
- 积分：1
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87361018figure_rotate
图像旋转的死循环Efficient procedures for image rotation, Matlab language, easy to read.(rotateEfficient procedures for image rotation, Matlab language, easy to read.)
- 2009-12-17 11:35:30下载
- 积分：1
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autospectrum
自动进行自回归频谱分析，该程序是MATLAB编写的(Automatically autoregressive spectrum analysis, the program is written in MATLAB)
- 2010-01-09 17:37:34下载
- 积分：1
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detection
QR二维码精定位，通过探测三个位置探测图形获得三个坐标，定位准确率90%左右。(QR code precise positioning, through the detection of 3 position detection patterns and then get 3 points, the recognition accuracy is about 90%.)
- 2019-03-11 10:44:20下载
- 积分：1
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efhqgghq
包括最小二乘法、SVM、神经网络、1_k近邻法,有小波分析的盲信号处理，能量熵的计算，MIMO OFDM matlab仿真,Matlab实现界面友好。(Including the least squares method, the SVM, neural networks, 1 _k neighbor method, There Wavelet Analysis Blind Signal Processing, Energy entropy calculation, MIMO OFDM matlab simulation, Matlab to achieve user-friendly.)
- 2021-03-24 16:49:15下载
- 积分：1
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D1
说明： Channel Modelling for Wireless Communications
- 2010-10-24 02:26:42下载
- 积分：1
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OFDM_transmission
采用64QAM调制信号的OFDM信号的生成(OFDM with 64QAM modulation signal generated signal)
- 2011-05-09 12:58:20下载
- 积分：1
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adaptivefir
说明： 自适应滤波器。自适应滤波器为11个权系数的FIR结构。（1）不同的方差σ2（2）LMS算法画出一次实验的误差平方收敛曲线，训练长度为500，给出滤波器系数；进行20次独立实验，给出平均收敛曲线。不同步长值的比较。（3）RLS算法，LMS和RLS算法的比较
(Adaptive filter. Adaptive filter weights for 11 of the FIR structure. (1) different variance σ2 (2) LMS algorithm for an experiment to draw square error convergence curve, the training length is 500, given filter coefficient conduct 20 independent experiments, given the average convergence curve. Are not synchronized long value comparison. (3) RLS algorithm, LMS and RLS Algorithms)
- 2008-11-18 22:01:00下载
- 积分：1
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coef_bessel
this algorithm generates bessel coefficients for FSK modulation
- 2010-09-16 10:37:52下载
- 积分：1
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1985528BP_RBF
ADIAL Basis Function (RBF) networks were introduced
into the neural network literature by Broomhead and
Lowe [1], which are motivated by observation on the local
response in biologic neurons. Due to their better
approximation capabilities, simpler network structures and
faster learning algorithms, RBF networks have been widely applied in many science and engineering fields. RBF network is three layers feedback network, where each hidden unit implements a radial activation function and each output unit implements a weighted sum of hidden units’ outputs.
- 2009-05-09 02:04:39下载
- 积分：1
