-
vq
说明： 说话人识别的matlab实现，供大家参考(tell the speaker s voice)
- 2009-06-24 10:48:54下载
- 积分：1
-
PID
基于传递函数模型的PID控制matlab代码(PID control based on the transfer function model matlab code)
- 2012-06-26 17:09:04下载
- 积分：1
-
gmmem
gaussian mixture model with EM algorithm
Matlab code
- 2011-12-21 10:18:52下载
- 积分：1
-
Arquivo
matlab filter good for matlab filter you
- 2018-11-11 02:02:22下载
- 积分：1
-
FEM
Solving several BVP s (1D example, 2D wave equation, 2D heat equation, 3D cantilever beam deflection (linear & quadratic elements) with use of very basic FEM techniques.
- 2020-10-07 16:57:36下载
- 积分：1
-
matlab-fourier
Matlab编程实现FFT变换及频谱分析的程序代码，很有用涂的，可以实现(Matlab Programming FFT transform and spectral analysis of the program code, useful for coating can be achieved)
- 2012-11-30 18:51:22下载
- 积分：1
-
matfg1
The proposed approach satisfies the
integrability condition and does not need any boundary
condition assumptio-ns, we have designed a stand-alone,
flexible Matlab implementation that enables to
evaluation the proposed approach. The experiments on
real images show the approaches ability to reconstruction
the surface from SFS.
- 2010-11-21 01:47:14下载
- 积分：1
-
PIDSimulink
但由
于传统&’(控制器不具有在线整定参数#+##’
及#(
的
功能!致使其不能满足在不同$及$ 下系统对&’(参
数的要求!从而影响其控制效果的进一步提高& 本
文介绍了具有自整定&’(参数功能的一类模糊控制
器的设计方法!并在./01/2中用34561478对控制器进
行了仿真! 结果表明与传统&’(控制器相比模糊控
制器取得了更好的控制效果&(T/RMN H7 LH7PM704H7/1 /NU6R0HQ9:6 <+/Q/5M0MQR RM1:$/NU6R0MN &’( MR0/214RF N6/140< LH70476H6R :67L04H7 2M)
0VMM7 0FM+/Q/5M0MQR /7N V47N/IM /R VM11 /R 40R P/Q4M0< V40F 0FM /++14L/04H7 H: :6 < /IIQMI/0M 0FMHQ<WOFM LH70QH11MQ L/7
/1RH /NU6R0 0FM &’( LH70QH11MQ)R+/Q/5M0MQR H7$147MWOFM NMR4I7 5M0FHN H: 0F4R 847N H: LH70QH11MQ /7N 0FM 5M0FHN H: M5)
61/04H7 67NMQ 34561478 /QM 470QHN6LMNW)
- 2011-06-22 21:30:13下载
- 积分：1
-
SVM
In this paper, we show how support vector machine (SVM) can be
employed as a powerful tool for $k$-nearest neighbor (kNN)
classifier. A novel multi-class dimensionality reduction approach,
Discriminant Analysis via Support Vectors (SVDA), is introduced by
using the SVM. The kernel mapping idea is used to derive the
non-linear version, Kernel Discriminant via Support Vectors (SVKD).
In SVDA, only support vectors are involved to obtain the
transformation matrix. Thus, the computational complexity can be
greatly reduced for kernel based feature extraction. Experiments
carried out on several standard databases show a clear improvement
on LDA-based recognition
- 2010-02-20 01:10:17下载
- 积分：1
-
MATLA533
【matlab编程代做】月亮绕地球的动画 可以做为参考使用学习 ([Matlab programming done on behalf of the moon around the earth] animation can use as a reference to learn)
- 2015-01-14 10:57:22下载
- 积分：1
