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fir
FIR滤波器的频率抽样法,对照胡广书教师的教材例子进行了实现(FIR filter frequency sampling method,according to the example of Hu Guangshu s book《Digital Signal Processing》)
- 2010-10-14 22:19:51下载
- 积分：1
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zhiwen
包括指纹图像的离散化，特征提取，gabor滤波等等。。(consist of dirImg,extract,gaborfilter,and so on.)
- 2010-01-02 11:04:18下载
- 积分：1
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2
说明： matlab软件编程实现虚拟的函数信号发生器(Function Generator)
- 2010-04-06 22:24:32下载
- 积分：1
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IS-95_endtoend_simulink
Is-95 反向业务信道端到端simulink仿真(Is-95 reverse traffic channel end simulink simulation)
- 2013-07-28 14:11:18下载
- 积分：1
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matlab
模拟信号的数字传输系统 matlab PCM编译码技术(The analog signal of the digital transmission system)
- 2012-06-06 19:25:30下载
- 积分：1
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bizhi
基于FFT的比值算法，是用比值法实现的MATLAB程序。
(Based on the ratio of FFT algorithm, is the ratio method using the MATLAB program realize.)
- 2007-08-28 10:35:37下载
- 积分：1
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Fading-channel-simulation
衰落信道仿真
function r = rayleigh( fd, fs, Ns )
r = rayleigh(fd,fs,N)
A Rayleigh fading simulator based on Clarke s Model
Creates a Rayleigh random process with PSD determined
by the vehicle s speed.
INPUTS:
fd = doppler frequency
set fd = v*cos(theta)/lambda
v = velocity (meters per second)
lambda = carrier wavelength (meters)
theta = angle w/ respect to tangent (radians).
fs = sample frequency (Samples per second)
Ns = number of samples of the Rayleigh fading
process to produce
OUTPUTS:
r = row vector containing Ns samples of the Rayleigh
fading process
Author: Matthew C. Valenti
Mobile and Portable Radio Research Group
Virginia Tech
For Academic Use Only
(Fading channel simulation)
- 2012-04-19 20:13:22下载
- 积分：1
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White-noise-and-colored-noise
系统辨识与自适应控制--白噪声及有色噪声序列的产生(White noise and colored noise sequence generation)
- 2011-07-04 16:13:42下载
- 积分：1
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matlab7.0
matlab相关教程，希望能给大家提供帮助，可以看看的资料(matlab tutorial, I hope to give help, you can see the information)
- 2012-06-18 18:22:58下载
- 积分：1
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RVM_matlabToolBox
相关向量机(RVM)的matlab源程序，包含快速算法，内含代码使用说明。 RVM采取是与支持向量机相同的函数形式稀疏概率模型，对未知函数进行预测或分类。 优点： (1) 不仅仅输出预测目标量的点估计值,还可以输出预测值的分布. (2) 使用更少数量的支持向量,从而显著减少输出目标量预测值的计算时间. (3) RVM不需要估计过多的参数. (4) RVM对是否满足Mercer 定理的核函数没有限制,适应性更好(Relevance Vector Machine (RVM) of the matlab source code, including fast algorithm that contains code for use. RVM support vector machine is taken the same functional form sparse probabilistic model to predict the unknown function or classification. Advantages: (1) is not only the amount of output predicted target point estimates, but also the distribution of predicted values can be output. (2) using a smaller number of support vectors, thereby significantly reducing the output target amount predicted value calculation time. (3) RVM does not require excessive parameter estimation. (4) RVM meets Mercer theorem on the kernel function is not limited, and better adaptability)
- 2013-11-21 11:05:48下载
- 积分：1
