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algrithem_database
利用Matlab做的各种波束形成的界面程序(Interface program to use Matlab to do a variety of beamforming)
- 2012-04-23 20:52:27下载
- 积分：1
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IWT
基于小波的编码变换和图像的二次压缩，区别于经典的小波变换(Coding based on wavelet transform and the second image compression, wavelet transform is different from the classic)
- 2021-05-06 16:32:23下载
- 积分：1
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Simple-Function-Approximation
Simple Function Approximation
- 2014-10-24 05:28:50下载
- 积分：1
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New-Compressed-(zipped)-Folder
pso coding in matlab
- 2011-10-12 13:37:09下载
- 积分：1
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audio-watermarks
基于DWT的音频水印算法,采用小波变换，阿诺德置换实现水印的嵌入和提取。(Audio watermarking algorithm based on Wavelet Transform)
- 2017-04-14 13:32:40下载
- 积分：1
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staring-imaging
关于简单的凝视成像的程序，自己编写，希望交流！(Staring imaging procedures, written in the hope that the exchange)
- 2012-07-31 15:01:23下载
- 积分：1
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PPPIterative-EM-MAP-Algorithm
iterative EM MAP algorithm
- 2014-04-15 03:36:36下载
- 积分：1
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ofdm_channel_estimation
OFDM信道估计，该文件夹包括19个M文件，包括误码率检测，插值计算，瑞利信道等(OFDM channel estimation, the folder includes 19 M files, including bit error rate detection, interpolation, Rayleigh channel, etc.)
- 2010-10-09 17:40:32下载
- 积分：1
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MatLab-MyLabs2
The last three Matlab labs from my course.
Topics:
1)Research of the "Price of goods & middle class buyers" model
2) Research of the "Advertisment campaign" model
3) Research of the "Debts of the factories" model
- 2010-12-23 19:12:37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
