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fft
说明: fft代码,采用蝶形算法,包括C,matlab和verilog代码(fft code, using butterfly algorithm, including C, matlab and Verilog code)
- 2008-11-29 11:09:47下载
- 积分:1
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FTPClient
File Transfer application
- 2015-02-03 03:34:36下载
- 积分:1
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srasydit
本科毕设要求参见标准测试模型,实现了对10个数字音的识别程序有小波分析的盲信号处理,包括广义互相关函数GCC时延估计,有较好的参考价值,可以动态调节运行环境的参数,调试通过可以使用,单径或多径瑞利衰落信道仿真。( Undergraduate complete set requirements refer to the standard test models, Realization of 10 digital audio recognition program There Wavelet Analysis Blind Signal Processing, Including the generalized cross-correlation function GCC time delay estimation, There are good reference value, Can dynamically adjust the parameters of the operating environment, Debugging can be used, Single path or multipath Rayleigh fading channel simulation.)
- 2016-03-31 21:44:39下载
- 积分:1
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Karlman
使用matlab进行编程实现卡尔曼滤波器(Kalman filter matlab programming)
- 2012-09-04 10:22:27下载
- 积分:1
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《最优阵列处理_HarryL.VanTrees》代码
《最优阵列处理_HarryL.VanTrees》非常经典的书籍,做阵列信号处理大家都知道!书中源代码!("The best array processing _HarryL.VanTrees" very classic books, do array signal processing everyone knows! The source code in the book!)
- 2017-11-28 21:58:56下载
- 积分:1
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Intelligent_Algorithm
说明: 搜集了几种人工只能算法,基于Matlab平台编写,包括聚类、统计稀疏、最小范数法、DOA、投影追踪、稀疏贝叶斯等(Several artificial algorithms are collected and compiled on the platform of matlab, including clustering, statistical sparseness, minimum norm method, DOA, projection tracking, sparse Bayesian, etc.)
- 2019-06-15 16:52:47下载
- 积分:1
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2008A
2008年数码相机matlab源代码,利用ransac仿射算法,分享了,大家训练时可以参考(2008 digital camera matlab source code, the use of ransac affine algorithm, shared, and we can refer to training)
- 2010-10-14 20:00:47下载
- 积分:1
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isentropic_vortex
matlab环境下编写的求解等熵涡问题,属于CFD入门级代码(matlab environment prepared isentropic vortex problem solving, is the entry-level CFD code)
- 2020-12-08 19:29:20下载
- 积分:1
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multi
多目标函数的优化,举例子说明,蚁群算法,不错的学习(good matlab code for ant studying)
- 2021-03-24 14:49:14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