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eee
BPF作用是使某频段内的有用信号通过，而高于或低于此频段的信号将被衰减。(BPF role is to make a useful frequency band signal, while the higher or lower than this band signal will be attenuated.)
- 2008-07-13 15:18:34下载
- 积分：1
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music
均匀线阵的MUSIC算法MATLAB仿真 需要的下载共享哦(ULA MATLAB simulation of the MUSIC algorithm needs to download shared Oh)
- 2008-05-23 20:04:43下载
- 积分：1
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MATLAB
here is a program MATLAB for maximum smallest, Tiệ m có thể
- 2013-08-10 14:10:29下载
- 积分：1
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MatchedFilter.m
Matched filter creator for matlab
- 2011-05-30 23:37:58下载
- 积分：1
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matlab
用于产生伪随机序列最长线性序列m序列，在matlab环境下实现(Used to generate pseudo-random sequence of the longest linear sequence of m-sequences, in the matlab environment to achieve)
- 2011-08-30 10:25:20下载
- 积分：1
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finite_element_method_with_MATLAB
使用MATLAB语言编写的有限元程序，是对[Programming_the_Finite_Element】中Fortran语言的MATLAB语言重写(Use MATLAB language finite element program is [Programming_the_Finite_Element MATLAB language] in Fortran language rewrite)
- 2014-12-17 23:58:45下载
- 积分：1
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MIT---Intro-to-Matlab
MIT course- Introduction to Matlab
- 2012-02-01 10:48:25下载
- 积分：1
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mbuilder_aakpwl
毕设题目，我用MATLAB程序编写的实现基于矢量量化的说话人识别系统，结合了hjcWjN算法。在给定的temp.wav录音文件的情况下，对不同的人的不同时间长度的语音进行辨识。实现与文本无关的自动说话人确认的实时识别。 使用步骤包括： 1 训练，2 TEOYkcT， 3 测试 4， 输出结果。
(Complete set topic, I use a program written in MATLAB-based VQ speaker recognition system, combining hjcWjN algorithms. In the case of a given temp.wav audio file, voice different people different lengths of time were identified. Real-time recognition and text-independent speaker verification automatically. Use steps include: 1 training, 2 TEOYkcT , 3 test 4, the output result.
)
- 2016-01-02 12:11:09下载
- 积分：1
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kalman
卡尔曼滤波算法
一种最小方差估计(Kalman filter algorithm a minimum variance estimation)
- 2007-12-08 08:40:12下载
- 积分：1
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kPCA_v2.0
Principal component analysis (PCA) is a popular tool for linear dimensionality reduction and feature extraction. Kernel PCA is the nonlinear form of PCA, which is promising in exposing the more complicated correlation between original high-dimensional features. In this paper, we first talk about the basic ideas of PCA and kernel PCA, and then focus on the reconstruction of pre-images for kernel PCA. We also give an introduction on how PCA is used in active shape models (ASMs), and discuss how kernel PCA can be applied to improve traditional ASMs. Then we show some experiment results to compare the performance of kernel PCA and traditional PCA for pattern classification. We also implement the kernel PCA-based ASMs, and use it to construct human face models.
- 2020-09-20 10:47:53下载
- 积分：1
