-
numerical_integration_algorithm
实现复合辛普森公式、隆贝格算法、复合高斯公式求解数值积分，并有案例(Achieve a composite Simpson formula, Long Beige algorithm, Gauss formula for solving complex numerical integration, and there have been cases)
- 2013-12-17 23:44:39下载
- 积分：1
-
boundExtract
本代码是基于镜头分割的关键帧提取代码，是用matlab来实现的。(The code is the code key frame extraction based on shot segmentation is achieved using matlab.)
- 2014-01-21 10:44:07下载
- 积分：1
-
code1
machine data processing part1
- 2010-08-02 23:50:28下载
- 积分：1
-
pxc3891007
It is about matlab which depicts brain image segmentation
- 2013-11-21 20:52:06下载
- 积分：1
-
hanning-window--kaiser-window--decimator-generato
matlab code for different windows like hanning window, kaiser window, desimator generator
- 2014-02-07 20:45:28下载
- 积分：1
-
CHAPTER6
数字PID的matlab仿真程序，针对刘金琨的先进PID控制的matlab仿真，里面的部分程序进行了修改 第六章(Digital PID of matlab simulation program for Liu Jinkun matlab advanced PID control simulation, which part of the program were modified Chapter)
- 2011-04-22 21:17:36下载
- 积分：1
-
xiaoqiuxialo
这是一个用MATLAB编的模拟一个小球的下落过程 ,很不错,希望和大家分享.(This is an addendum to the MATLAB simulation of a small ball on the whereabouts of course, very good, and he hopes to share with you.)
- 2007-05-05 11:08:52下载
- 积分：1
-
interpolation-and-fitting
matlab经典算法程序中关于插值和拟合的具体指导资料 给需要的朋友们以启发(classical algorithm matlab program on interpolation and fitting specific guidance information to a friend who needs to inspire)
- 2013-11-13 11:20:13下载
- 积分：1
-
sons
Compressive sensing (CS) has been proposed for signals with sparsity
in a linear transform domain. We explore a signal dependent
unknown linear transform, namely the impulse response matrix operating
on a sparse excitation, as in the linear model of speech production,
for recovering compressive sensed speech. Since the linear
transform is signal dependent and unknown, unlike the standard
CS formulation, a codebook of transfer functions is proposed in a
matching pursuit (MP) framework for CS recovery. It is found that
MP is efficient and effective to recover CS encoded speech as well
as jointly estimate the linear model. Moderate number of CS measurements
and low order sparsity estimate will result in MP converge
to the same linear transform as direct VQ of the LP vector derived
the original signal. There is also high positive correlation between
signal domain approximation and CS measurement domain
approximation for a large variety of speech spectra.
- 2020-12-03 13:19:24下载
- 积分：1
-
matlab_hmm
说明： matlab基于HMM的语音识别完整代码(需要修改程序里的路径以找到文件)(matlab)
- 2021-04-17 16:48:53下载
- 积分：1
