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Nonlinear-equations-NL

于 2012-07-25 发布 文件大小:383KB
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  非线性方程组N-L解-数值方法(MATLAB版 第4版).pdf(Nonlinear equations NL- A numerical method (MATLAB version 4). Pdf)

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  • zaoshengxitongbianshi
    含有噪声的多维非线性系统辨识!!! (Noisy multi-dimensional non-linear system identification! ! !)
    2009-11-13 16:44:55下载
    积分:1
  • data
    Smooth Linear filter Median filter Laplacian Unsharp masking Sobel filter
    2009-05-19 07:42:22下载
    积分:1
  • OFDM_Transmission
    本程序详细给出了OFDM信号的产生,基带信号,成型滤波器,及频率分析。(Give details of the procedure for selecting the OFDM signal, base-band signal, shaping filters, and frequency analysis)
    2009-03-30 14:39:26下载
    积分:1
  • Load_Images
    The following function, defined in load_images.m, is an example of how to read a bunch of images, make column vectors out of each of them, and return the result.
    2011-06-14 04:45:10下载
    积分:1
  • Predictive-analysis
    编写一通用的预测法分析程序,要求有一定的错误处理能力,出错后能够使程序继续运行下去,直到分析过程结束。可通过不同的文法(通过数据表现)进行测试。(Write a generic prediction analysis procedure that requires a certain degree of error-handling capabilities, enabling the program to continue after an error to run it until the end of the analysis process. Can be tested by different grammar (by performance data).)
    2013-12-08 21:20:28下载
    积分:1
  • CDMA_SIM
    说明:  防真CDMA的程序,仅供大家参考.防真环境为MATLAB6.5以上的版本.(real-CDMA procedures, only for reference. The environment for real-Matlab6.5 above version.)
    2006-05-06 09:04:08下载
    积分:1
  • harris-algorithm
    talk about Harris algorithm
    2011-06-06 12:59:21下载
    积分:1
  • filteredGN
    滤波器高斯噪声信道模型,信道模型的一种,matlab仿真源码(Filtered Gaussian Noise Model matlab code)
    2014-01-03 16:23:40下载
    积分:1
  • MATLAB
    奇异值分解及欧式距离计算,两组数据之间的计算(singular and calculate distense)
    2009-11-18 10:26:57下载
    积分:1
  • kmedian
    The method works as follows. 1. For a data set with dimensionality, d, compute the variance of data in each dimension (column). 2. Find the column with maximum variance call it cvmax and sort it in any order. 3. Divide the data points of cvmax into K subsets, where K is the desired number of clusters. 4. Find the median of each subset. 5. Use the corresponding data points (vectors) for each median to initialize the cluster centers.
    2013-08-10 03:45:31下载
    积分:1
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