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自适应滤波器的最陡下降法示意图-fig811
自适应滤波器的最陡下降法示意图(adaptive filter steep decline in the most schematic)
- 2005-02-17 15:55:08下载
- 积分：1
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yucebianma
对一幅图象进行无损一阶预测编码，采用前值预测(Non-destructive image of a first-order predictive coding, using the former value of the forecast)
- 2009-05-02 20:01:35下载
- 积分：1
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03607_28
DFT进行频谱分析时的三种现象
1、混叠：对连续信号采样，要求连续信号是带限的，采样频率要足够高。Fs应满足Nyquist采样定理才不产生混叠。
采样前加低通滤波器防混叠
2、频谱泄漏：DFT对时域信号进行了截断（相当于采样信号乘了一个窗函数），时域的乘积相当于频域卷积，改变了原信号频谱。
改用其他窗函数（非矩形）改善泄漏。
3、栅栏现象：DFT 只给出了频谱在采样点上的取值，采样点间的频谱内容丢失。(DFT spectrum analysis of a three phenomena, aliasing : continuous signal sampling, requiring continuous signal is band-limited, the sampling frequency should be high enough. Fs meet the Nyquist Sampling Theorem would not have aliasing. Sampling former low-pass filter plus anti-aliasing 2, spectrum leakage : DFT right time domain signal a disconnect (equivalent to a sampling signal by a window function). time domain is equivalent to the product of frequency-domain convolution, changes in the spectrum of the original signal. Window functions to switch to other (non-rectangular) to improve leakage. 3, fenced phenomenon : DFT spectrum is given only at the sampling point value, sampling points of the spectrum as lost.)
- 2007-05-08 16:22:17下载
- 积分：1
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6802d82763aa
to binirazition pictures in matlab
- 2012-10-10 18:40:38下载
- 积分：1
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Decision_Boundary_using_SVMs(1)
Matlab code to use decision boundary using SVM.
- 2014-02-19 06:20:30下载
- 积分：1
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plane
提取目标图像，根据物体特点，嵌入背景图片中适当的位置处(put objects into the background picture)
- 2010-05-30 11:38:45下载
- 积分：1
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Chapter5
simulation of communication systems and software defined radio from the book chapter 5
- 2012-11-04 19:10:56下载
- 积分：1
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gege
小波包分析提取振动信号中的分解小波包分析提取振动信号中的分解(Wavelet packet analysis vibration signal decomposition wavelet packet analysis vibration signal decomposition)
- 2014-06-20 12:59:44下载
- 积分：1
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SVMNR
支持向量机和BP神经网络虽然都可以用来做非线性回归，但它们所基于的理论基础不同，回归的机理也不相同。支持向量机基于结构风险最小化理论，普遍认为其泛化能力要比神经网络的强。为了验证这种观点，本文编写了支持向量机非线性回归的通用Matlab程序和基于神经网络工具箱的BP神经网络仿真模块，仿真结果证实，支持向量机做非线性回归不仅泛化能力强于BP网络，而且能避免神经网络的固有缺陷——训练结果不稳定。
(Support Vector Machine and BP neural network, even though there can be used to make non-linear regression, but they are based on the theoretical basis for the different, the mechanism of regression is not the same. Support vector machine based on structural risk minimization theory, generally considered the generalization ability of neural networks than the strong. To test this view, the paper prepared by non-linear regression support vector machine procedures and based on a common Matlab neural network toolbox of BP neural network )
- 2021-03-03 21:59:32下载
- 积分：1
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totxt
matlab读取bin或其他文件，修改其中数据，把数据生成到txt文档(matlab read bin or other document, modify the data, the data generated into txt file)
- 2013-07-25 16:12:25下载
- 积分：1
