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viterbi
卷积编码程序可以用于不同类型的编码器实现可行的编码
(Convolutional coding procedures can be used for different types of encoders realize feasible coding)
- 2008-06-08 17:59:15下载
- 积分：1
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Covolution-Encoder-System(MATLAB)
BPSK modulation system not fully
- 2011-01-24 22:58:13下载
- 积分：1
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50-cases-of-MATLAB-motor-
使用matlab中simulink仿真电机控制的初学者，可以看看(Matlab motor control simulation for beginners, you can download a look)
- 2013-10-17 19:13:27下载
- 积分：1
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vector-control-of-asynchronous-motor
介绍了坐标变换在异步电机中的应用条件和原则，以便能够快速地在异步电机中选择合适的坐标，提高工作效率．并结合异步电机矢量控制存MT坐标系中变换后，可类似于直流电机的转矩电流分量和磁场电流分量(the vector control of asynchronous motor based on the right coordinate)
- 2014-12-04 18:17:03下载
- 积分：1
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ArtifieialFishSwarmAlgorithm
文中给出了人工鱼群算法的原理和详细描述，并对算法的收敛性能和算法中各参数对收敛性的影响等因素进行了分析 针对组合优化问题，给出了人工鱼群算法在其中的距离、邻域和中心等概念，并给出了算法在组合优化问题中的描述 针对大规模系统的优化问题，给出了基于分解协调思想的人工鱼群算法 给出了人工鱼群算法中常用的一些改进方法(The Analysis and ImProvement of Artifieial Fish-swarm algorithm)
- 2011-12-07 21:59:26下载
- 积分：1
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FLOW-IN-THE-CHANNEL
基于有限元基础编写的方形流道内不可压稳态流动。(Based on the the square flow passage prepared on the basis of the finite element incompressible steady-state flow.)
- 2013-05-16 15:17:21下载
- 积分：1
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7
说明： 用Romberg方法计算定积分，使误差不超过10E-5.(Definite integral using Romberg method, so that the error of not more than 10E-5.)
- 2010-08-26 21:16:08下载
- 积分：1
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GLRAM
算法实现:Jieping Ye. Generalized low rank approximations of matrices. Machine Learning, Vol. 61, pp. 167-191, 2005. (Algorithm : Jieping Ye. Generalized low rank approximatio ns of matrices. Machine Learning, Vol. 61. pp. 167-191, 2005.)
- 2007-02-03 14:33:00下载
- 积分：1
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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
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App_Opt_MATLAB
good code for matlab by mili , i than you
- 2009-04-16 01:25:49下载
- 积分：1
