-
blast_detection
blast系统的检测方案仿真程序,在窄带Rayleigh快衰落信道下几种检测方法的误码率性能比较(blast system simulation program testing program, in the narrow-band Rayleigh fading fast detection method of several BER performance comparison)
- 2011-05-22 14:52:07下载
- 积分:1
-
emd
emd算法部分程序 对于使用EMD的初学者来说很有好处 建议看看(the emd algorithmic part of the program for beginners )
- 2012-04-20 20:42:33下载
- 积分:1
-
segmentation
本matlab代码实现了图像分割,分割成a*a的图像小块,效果还行()
- 2015-03-10 19:10:50下载
- 积分:1
-
test4_wavelet_DIPUM
用二维小波包分解得到水平垂直细节系数,据此组合合成图像的边缘,并与传统算子方法对比(Two-dimensional wavelet packet decomposition has been the level of vertical detail coefficient, which images the edge of combinatorial chemistry and operator with the traditional methods)
- 2009-05-15 13:18:07下载
- 积分:1
-
stft
在时域中表示,短时傅里叶变换,取1000个采样点,加窗函数,画出原始信号,三维,等高图(In the time domain, said the short-time Fourier transform, take 1000 a sampling point, add window function, draw the original signal, 3 d, contour map)
- 2012-04-27 08:50:33下载
- 积分:1
-
system-identification
采用时频聚集性较好的线性调频信号作为线性时不变系统输入激励,采用Gabor字典作为过完备原子库。在利用传统系统辨识法之前先利用稀疏分解算法将输出信号进行去噪处理,显著提高系统辨识精度。
具体包括互谱算法,信号的Gabor稀疏分解的详细代码(Space can be a time for sparse decomposition to solve the problem of huge memory needed。This approach, combined with the rapid decomposition of FFT for signal ,so as to achieve satisfactory results.)
- 2021-03-16 19:19:21下载
- 积分:1
-
CS_OMP
CS重构算法OMP算法。matlab源代码,。(CS reconstruction algorithm OMP)
- 2013-11-07 19:19:14下载
- 积分:1
-
file
fir filter using windowing.!!
- 2011-11-18 16:35:38下载
- 积分:1
-
MATLAB-wavelet
说明: MATLAB小波分析___张德丰——源代码,对于学习小波分析很有帮助。(MATLAB Wavelet Analysis)
- 2011-03-26 22:19:22下载
- 积分:1
-
gmdh_example
GMDH_main为GMDH主函数;
variable_Combin为输入层初始变量选为x1,x1^2,x1*x2,x2^2,x2时的输入变量矩阵值
variable_select计算X_train训练输入数据,Y_train训练输出数据,X_test测试输入数据,Y_test测试输出数据
Combin为求变量的两两组合
Sym_Combin为求符号变量的两两组合
PE_AIC求每层各神经元的参数估计W,及训练数据在参数估计后估计的输出out_train,测试数据在参数估计后的估计输出out_test,还有与实际比较的误差平方和PESS, 以及准则值AIC
sym_representation求最终的输入输出符号表达式
Criterion_value求准则值
(GMDH_main main function for the GMDH variable_Combin initial variables chosen for the input layer, x1, x1 ^ 2, x1* x2, x2 ^ 2, x2 the value of the input variable matrix calculation X_train variable_select training input data, Y_train training output data, X_test test input data, Y_test for the sake of the test output data Combin pairwise combination of variables for the sake of symbolic variables Sym_Combin pairwise combinations PE_AIC neurons find each parameter estimation of the W, and after the training data is estimated in the estimation of output out_train, test data After the parameter estimates of the output estimated out_test, also compared with the actual sum of squared errors PESS, as well as the final criterion value AIC sym_representation seek the input and output values of symbolic expressions Criterion_value find criteria)
- 2011-04-27 15:32:58下载
- 积分:1