-
matlab
多元线性分析的源代码附有中文说明，可用于解决多元线性分析的问题(Multiple linear analysis with the Chinese description of the source code can be used to solve the problem of multiple linear analysis)
- 2011-05-01 21:07:58下载
- 积分：1
-
work
说明： 绘制的Z图形，供了解MATLAB的可视化功能(z=sin(sqrt（x^2+y^2）)/(sqrt(x^2+y^2)))
- 2010-04-05 11:21:46下载
- 积分：1
-
palm
形态学中的腐蚀和膨胀运算。首先，对图像进行低通滤波，消除细小噪声的干扰。
在滤波时，没有采用传统的中值滤波器，而是采用顺序统计滤波器ordfilt2(Erosion and dilation operation in morphology. Firstly, the image is filtered by low pass filtering to eliminate the interference of small noise.
In filtering, the traditional median filter is not used, but the order statistics filter ordfilt2)
- 2016-04-07 18:42:01下载
- 积分：1
-
SimpleLinearSort
用matlab语言写的模式识别中的线性分类器设计 简单的线性分类器设计是模式识别中的重要算法设计(Pattern recognition with matlab language written in a simple linear classifier design a linear classifier design is an important algorithm design for pattern recognition)
- 2010-07-12 19:47:11下载
- 积分：1
-
synthetic_seismogram_HWK2
一个利用地震子波合成地震记录的MATLAB程序源代码，通过一个例子说明如何合成一个四层模型的地震记录。(Create 4 Layer synthetic seismogram model
Call rickerw.m subroutine to generate ricker wavelet
Use imagesc and plotseismic.m to plot the model)
- 2014-10-10 04:29:43下载
- 积分：1
-
QPSK
In this case is a QPSK algorithm code for mapping the interleaved code, using VHDL language. This code provide the method of mapping the code by using QPSK algorithm.
- 2014-11-19 04:27:20下载
- 积分：1
-
youyuanlvbo
有源滤波仿真，通过仿真波形看出有源滤波特性(Active filter simulation, seen through the simulation waveforms of active filter characteristics)
- 2012-04-03 19:49:55下载
- 积分：1
-
steepdes
In mathematics, the method of steepest descent or stationary phase method or saddle-point method is an extension of Laplace s method for approximating an integral, where one deforms a contour integral in the complex plane to pass near a stationary point (saddle point), in roughly the direction of steepest descent or stationary phase.
- 2011-08-03 22:52:13下载
- 积分：1
-
Elman神经网络预测电力负载
Elman神经网络建立建筑物电力负荷预测模型中遇到的几个关键问题有，数据归一化处理、输入输出样本的选取、隐含层节点数的确定；分别建立Elman神经网络模型，并利用某栋建筑物实际历史电力负载数据进行预测，分析比较与实际数据值的预测精度，得出了一个有效的数据预测模型。(Several key problems encountered in building power load forecasting model based on Elman neural network are data normalization, selection of input and output samples, and determination of the number of hidden layer nodes. Elman neural network models are established respectively, and the actual historical power load data of a building are used for forecasting. Effective data prediction model.)
- 2019-05-16 19:07:39下载
- 积分：1
-
采用FIR最小二乘逆滤波器来实现反卷积 deconvolution
采用FIR最小二乘逆滤波器来实现反卷积
1.通过输入信号xn与传递函数gn求输出yn
2.通过使平方误差达到最小求出最佳延迟
3通过最佳延迟求得逆滤波器传递函数hn
4通过hn与yn进行卷积运算得到还原的输入信号xn1，进行对比
5按照题设要求，进行相关噪声添加，再次进行上述实验过程
(Using least squares FIR inverse filter to achieve deconvolution)
- 2021-05-06 16:32:23下载
- 积分：1
