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encoding_test
in this code you can check the test of encoding for iris recognition
- 2011-09-14 07:29:51下载
- 积分：1
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IEEEphot_1
LMS ALGORITHM CODE TO SUPPRESSION ECHO
- 2011-10-03 17:22:42下载
- 积分：1
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chengzi
本matlab程序用乘子法求解多元模型的最小值（给出初始点和精度要求条件）。(The matlab program for solving the minimum multivariate model using multiplier method (given initial point and precision conditions).)
- 2014-01-16 17:14:31下载
- 积分：1
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V-BLAST
程序对4发4收系统进行V-BLAST检测算法的仿真。发送信号采用QPSK调制，信道为准静态瑞利平坦衰落信道，引入的噪声为均值为0的高斯白噪声，接收端分别采用ZF、MMSE、ZF-OSIC、MMSE-OSIC四种检测算法，根据其误比特率比较性能。(V-BLAST detection algorithm simulation program 4 of 4 admission system. Send signals using QPSK modulation, channel quasi-static Rayleigh flat fading channel, the introduction of noise with mean zero Gaussian white noise receiving end, respectively, ZF, MMSE, ZF-OSIC, MMSE-OSIC four detection algorithm based on its The bit error rate of the comparative performance.)
- 2021-03-30 16:49:09下载
- 积分：1
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FSK-MATLAB-code
FSK调制解调MATLAB源代码FSK，很不错，值得看看(FSK modulation and demodulation MATLAB source code FSK, very good, worth a look)
- 2013-11-15 16:52:02下载
- 积分：1
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MULTILEVELTest22
Simple MultiLevel Inverter Design
- 2013-12-12 15:25:56下载
- 积分：1
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matlab_program
matlab实用程序百例(100 cases of matlab utility)
- 2008-01-12 00:54:48下载
- 积分：1
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HW1_2Shooting
Shooting Method for ODE
- 2011-04-20 16:57:40下载
- 积分：1
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classic-music
经典music算法，包括 详细的谱峰搜索函数，程序条例清楚，运行结果正确。(classic music, including the detailed function of spectrum peak searching. this pro is clear and works well ：）)
- 2012-08-19 03:24:06下载
- 积分：1
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IterativeClosestPointMethod
ICP fit points in data to the points in model. Fit with respect to minimize the sum of square errors with the closest model points and data points.
Ordinary usage:
[R, T] = icp(model,data)
INPUT:
model - matrix with model points,
data - matrix with data points,
OUTPUT:
R - rotation matrix and
T - translation vector accordingly
so
newdata = R*data + T .
newdata are transformed data points to fit model
see help icp for more information
(ICP fit points in data to the points in model. Fit with respect to minimize the sum of square errors with the closest model points and data points.
Ordinary usage:
[R, T] = icp(model,data)
INPUT:
model- matrix with model points,
data- matrix with data points,
OUTPUT:
R- rotation matrix and
T- translation vector accordingly
so
newdata = R*data+ T .
newdata are transformed data points to fit model
see help icp for more information
)
- 2007-09-09 16:06:34下载
- 积分：1
