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interp1
一个ＭＡＴＬＡＢ源函数，用来计算插值，可以选择使用线性，三次样条插值，Hermite插值等方法，希望对大家有用。(A MATLAB source function, used to calculate the interpolation, you can choose to use linear, cubic spline interpolation, Hermite interpolation, in the hope that useful.)
- 2010-12-06 13:42:06下载
- 积分：1
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SCA
用于自适应盲均衡的自适应变模SCA算法,具有良好的性能.(Adaptive blind equalization for Adaptive Variable modulus SCA algorithm has good performance.)
- 2008-08-25 15:57:59下载
- 积分：1
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f
说明： 跳频参数估计资料，通过各种时频分析方法进行处理(Hopping parameter estimation paper, through a variety of time-frequency analysis method for processing)
- 2012-09-17 13:14:39下载
- 积分：1
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MMSE_LMS_WF
用MMSE LMS Wiener-Hopf三种方法补偿QPSK调制信号在非理想信道的源代码(MMSE LMS and Wiener-Hopf solutions to QPSK modulated signal transmitting through non-ideal channel)
- 2014-02-13 03:40:44下载
- 积分：1
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store2hdf5_trainingdata
说明： 数据整理，数据和标签和样本数量之间的匹配，当然也可以用其他方法，仅供参考(Data collation, matching between data and label and sample quantity, of course, other methods can be used, for reference only)
- 2020-06-18 18:40:01下载
- 积分：1
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Skeletonmatlab
用Matlab实现了对一副图像骨架的提取，方法简单，易于掌握。内附实例(Using Matlab to achieve an image of the skeleton extraction method is simple, easy to master. Containing examples)
- 2020-10-24 14:10:01下载
- 积分：1
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informationTheoryToolboxv1.0
信息理论用的工具包，算法已经很全了matlab编写的(Information theory with the toolkit, the algorithm is already very wide, prepared by the matlab)
- 2007-12-18 14:03:41下载
- 积分：1
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Spectrum_leakage
本代码是关于数字信号处理中的频谱泄露现象及其带来的危害的MATLAB仿真。用到的窗函数的是矩形窗和海明窗。(The code is on the digital signal processing of the spectrum and its disclosure of the hazards brought about by MATLAB simulation. Window function used is the rectangular window and Hamming window.)
- 2009-06-23 21:08:11下载
- 积分：1
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叶片参数导出
说明： 基于Glauert设计法设计风力机叶片，叶片参数导出的MATLAB程序(MATLAB Program for Wind Turbine Blade Design and Blade Parameter Derivation Based on Glauert Design Method)
- 2019-03-04 10:09:22下载
- 积分：1
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最新的支持向量机工具箱，有了它会很方便-svm_v0.55beta
最新的支持向量机工具箱，有了它会很方便 1. Find time to write a proper list of things to do! 2. Documentation. 3. Support Vector Regression. 4. Automated model selection. REFERENCES ========== [1] V.N. Vapnik, "The Nature of Statistical Learning Theory", Springer-Verlag, New York, ISBN 0-387-94559-8, 1995. [2] J. C. Platt, "Fast training of support vector machines using sequential minimal optimization", in Advances in Kernel Methods - Support Vector Learning, (Eds) B. Scholkopf, C. Burges, and A. J. Smola, MIT Press, Cambridge, Massachusetts, chapter 12, pp 185-208, 1999. [3] T. Joachims, "Estimating the Generalization Performance of a SVM Efficiently", LS-8 Report 25, Universitat Dortmund, Fachbereich Informatik, 1999. (The newest work tools of svm,it will be very convenient to have it.)
- 2005-03-29 14:06:00下载
- 积分：1
