-
picture_converting
此为图像的walsh与傅里叶变换和对图像进行离散余弦变换处理的源代码源代码(This is the image of walsh and Fourier Transform source code)
- 2009-05-09 17:40:38下载
- 积分:1
-
Voice_Recognition_System_in_Noisy_Environment
voice recognition in noisy environment
Human life could be much more comfortable, if global machinery works on voice commands. There are lot of products available in the market those provide us automated voice controlled working experience. Voice-identification is a kind of technology in which, machine responds to human voice. The goal of this project is to design and implement voice controlled embedded system in noisy environment. The project consists software and hardware design. The software part is to eliminate noise the original signal and develop the speech recognition algorithm (DTW). The hardware is used for speech recognition.
- 2015-04-04 19:45:37下载
- 积分:1
-
EARB1
EARLANG B MATLAB CODE IN TELECOM
- 2013-10-05 00:35:02下载
- 积分:1
-
PF_Simple
粒子滤波采样程序,采用SIR方法,重采样生成等权值粒子(Particle filter sampling procedures, the use of SIR methods, resampling particle generation, and weight)
- 2010-11-12 09:40:09下载
- 积分:1
-
ldpc_MATLAB
说明: LDPC的编码,硬解码,软解码,以及性能仿真。(LDPC coding, hard decoding, soft decoding, and performance simulation.)
- 2010-04-27 20:27:18下载
- 积分:1
-
glovetalkii
this is matlab document which is used for data in matlab
- 2011-05-21 13:10:00下载
- 积分:1
-
equalization
对通信原理中的迫零均衡进行基于MATLAB的仿真(On communication theory in zero forcing equalization MATLAB-based simulation)
- 2010-09-15 17:47:16下载
- 积分:1
-
ch5
内容完整且每章相对独立;是一本简明的MATLAB参考书,既适用于初学者,也适用于高级MATLAB用户。对MATLAB与FORTRAN、C等语言结合的描述更是所有MATLAB书籍中少有的一大特色。(The contents of each chapter is relatively complete and independent it is a simple MATLAB reference books, both for beginners, but also to high-level MATLAB users. Of MATLAB and FORTRAN, C and other languages with a description of all MATLAB books is a major feature of the few.)
- 2009-10-17 13:30:00下载
- 积分:1
-
bezier_demo
用贝塞尔画曲线的demo,能够控制参数,调节曲线的形式(a demo using bezier)
- 2009-12-30 10:56:00下载
- 积分:1
-
pca
Function to perform Principle Component Analysis over a set of training
vectors passed as a concatenated matrix.
Usage:- [V,D,M] = pca(X,n)
[V,D] = pca(X,aM,n)
where:-
<input>
X = concatenated set of column vectors
aM = assume that the mean is aM
n = number of principal components to extract (optional)
<output>
V = ensemble of column eigen-vectors
D = vector of eigen-values
M = mean of X (optional)
- 2013-07-09 15:06:40下载
- 积分:1