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analysis-of-time-series
《MATLAB在时间序列分析中的应用》一书结合MATLAB仿真，讲述了时间序列分析的应用。(《MATLAB application in time series analysis》is a book with MATLAB simulation, about the application of time series analysis.)
- 2013-04-26 16:50:42下载
- 积分：1
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nn
说明： this is matlab program uses GRNN neural network tocontrol the speed of Linear induction Motor Drive, both m-file and simulink file are includd
- 2010-06-03 19:17:30下载
- 积分：1
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2.3
说明： 这是恒好的代码，请大家好好利用他，谢谢了，我眼下在(This is the constant good code, please make good use of him, thank you, I now in)
- 2010-04-04 18:47:53下载
- 积分：1
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RLS
RLS算法去除加噪声音乐程序，效果比较好，有图为证。(RLS algorithm to remove noise adding music program, the effect is better, has a license to the graph.
)
- 2013-12-18 10:20:11下载
- 积分：1
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mka_m_series
用于产生m序列(use in generating m sequence)
- 2005-01-18 13:27:41下载
- 积分：1
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jiyinzhouqi
数字语音信号基音周期检测MATLAB系统仿真(Pitch Detection digital speech signal MATLAB simulation
)
- 2010-10-31 09:10:18下载
- 积分：1
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Robot-path-planning-potential-field
机器人路径规划 人工势场matlab代码(Robot path planning potential field matlab)
- 2016-06-24 10:27:22下载
- 积分：1
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2分集CDMA跳频通信子程序
说明： 二分集CDMA跳频通信子程序,计算2分集CDMA跳频通信系统的误码率(two set points CDMA frequency-hopping communications subroutine to calculate two set points Hopping CDMA communication system BER)
- 2005-11-16 10:07:09下载
- 积分：1
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GenAlgo
GENETIC ALGORITHM FOR OPTIMAL LOAD FLOW
- 2014-08-18 00:15:36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
