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MATLAB_COMMAND
包含matlab的使用频率较高常用命令及其功能，便于查询，方便快捷(Contains a higher frequency of use matlab common commands and their functions, easy to check, convenient)
- 2011-09-26 10:25:51下载
- 积分：1
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RS-MATLAB-code
Reed-So lomon (RS)码是目前最有效、应用最广的差错控制编码之一,是一类具有很强纠错能力的多进制BCH 码,它既可以纠正突发误, 也可以纠正随机错误。视、磁记录系统等方面。本文用matlab详细仿真实现RS编译码(Reed-So lomon (RS) code is the most effective, the most widely used one of error-controlling codes, is a kind of strong ability of the error correction into BCH code, it can correct mistakes sudden, also can correct random errors. RS code is mainly used in real-time higher mobile communications system, the deep space communications, digital satellite television, magnetic recording system, etc. In this paper, using matlab detailed simulation (RS decoder)
- 2011-12-21 17:09:55下载
- 积分：1
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constancy-gui
constancy gui using white patch
- 2013-12-23 11:11:45下载
- 积分：1
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slp_sqp
structural optimization algortims
- 2020-10-15 10:17:29下载
- 积分：1
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vmd-verify3
vmd分解程序，修改版，可以用于处理实测振动信号。(vmd decomposition process, a modified version can be used for processing the measured vibration signal.)
- 2016-09-08 17:28:19下载
- 积分：1
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超声数值模拟
说明： 超声波数值模拟，通过matlab模拟声场的传播(ultrasonic simulation)
- 2019-03-22 09:13:02下载
- 积分：1
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BGA
BGA Binary Genetic Algorithm Matlab Code
- 2009-05-07 15:13:04下载
- 积分：1
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53607884MIMO
这是一个基于GUI系统。 GUI是在命令行调用通过键入“ui_start”。 GUI是自我解释性。
工具提示是由于在蓝颜色。将光标定位需要这些详细的说明。主要文件
“runsim.m”。在这些模拟的单变量的选择是没有明确给出。这是因为单输入单输出的结果为特定
(This is a GUI-based system. GUI is invoked on the command line by typing " ui_start" . GUI is self explanatory. Tool tip is due to blue color. Position the cursor need these detailed instructions. Main File " runsim.m" . Single variable in these simulations is not clear given the choice. This is because the single-input single-output results for a particular)
- 2010-05-18 16:43:34下载
- 积分：1
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part_VIII
Quantization effects and array algorithms
- 2011-05-27 20:55:10下载
- 积分：1
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SCSToolboxV2
将压缩感知用于谱估计中，根据论文谱压缩感知的一些程序(Compressive sensing (CS) is a new approach to simultaneous sensing and compression of sparse
and compressible signals based on randomized dimensionality reduction. To recover a signal from its
compressive measurements, standard CS algorithms seek the sparsest signal in some discrete basis or
frame that agrees with the measurements. A great many applications feature smooth or modulated signals
that are frequency sparse and can be modeled as a superposition of a small number of sinusoids.
Unfortunately, such signals are only sparse in the discrete Fourier transform (DFT) domain when the
sinusoid frequencies live precisely at the center of the DFT bins. When this is not the case, CS recovery
performance degrades significantly. In this paper, we introduce a suite of spectral CS (SCS) recovery
algorithms for arbitrary frequency sparse signals. The key ingredients are an over-sampled DFT frame, a
signal model that inhibits closely spaced sinusoids, and classical sinusoid parameter e)
- 2012-06-29 10:10:42下载
- 积分：1
