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Binary
alab document on ASK PSL and QPSK modulation techniques
- 2009-05-12 16:03:39下载
- 积分：1
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cache
The cache manager source code implemented in Windows kernel.
- 2009-05-30 14:00:05下载
- 积分：1
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Sesia--S.---LTE--The-UMTS-Long-Term-Evolution
Sesia, S. - LTE, The UMTS Long Term Evolution
- 2013-12-14 08:38:28下载
- 积分：1
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sbsjekma
多姿态，多角度，有不同光照,PLS部分最小二乘工具箱,FMCW调频连续波雷达的测距测角，合成孔径雷达（SAR)目标成像仿真，有信道编码，调制，信道估计等，最小二乘回归分析算法。( Much posture, multi-angle, have different light, PLS PLS toolbox, FMCW frequency modulated continuous wave radar range and angular measurements, Synthetic Aperture Radar (SAR) imaging simulation target, Channel coding, modulation, channel estimation, Least-squares regression analysis algorithm.)
- 2016-04-10 16:37:14下载
- 积分：1
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waveguide_example
计算圆波导的TE/TM传播问题的matlab源程序(matlab code for the simulation of circul waveguide)
- 2010-09-27 21:50:23下载
- 积分：1
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entrega11
Exercicies of matlab about POSE, in robotic arms.
- 2014-10-16 04:12:34下载
- 积分：1
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l1magic-1.11
L1magic 1.1.1 求解1范数优化的工具(L1magic 1.1.1 Solving a norm optimization tool)
- 2013-11-25 19:39:23下载
- 积分：1
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Program44_fem_microstrip
Objective of the program is to solve for the steady state voltage
distribution of the inside region of a microstrip and then using that obtain
the electric field distribution in the region using quiver plot. The
microstrip comprises of a region given by 0<x<7 units and 0<y<2 units in
the coordinate system bounded by four capacitor plates on all the sides
of the region. The region comprises of a material with relative permittivity
1 from 0<y<1 units and a material of relative permittivity 9.6 from 1<y<2 units.
The microstrip extends indefinitely in the z-direction. The sides of the region
are given Dirichlet boundary condition. A horizontal microstrip line is placed
at the center of the region. The microstrip is excited with a voltage of 1 Volt
and all surrounding plates are maintained at 0 Volts.
- 2013-04-21 20:23:01下载
- 积分：1
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cortab01
cortab function for wavelet analysis
- 2013-05-15 03:21:43下载
- 积分：1
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GMM-GMR-v1.2
GMM-GMR is a set of Matlab functions to train a Gaussian Mixture Model (GMM) and retrieve generalized data through Gaussian Mixture Regression (GMR). It allows to encode efficiently any dataset in Gaussian Mixture Model (GMM) through the use of an Expectation-Maximization (EM) iterative learning algorithms. By using this model, Gaussian Mixture Regression (GMR) can then be used to retrieve partial output data by specifying the desired inputs. It then acts as a generalization process that computes conditional probability with respect to partially observed data.
- 2009-12-02 11:32:00下载
- 积分：1
