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interpolator
说明： 插值滤波器,用于音频解码调制解调,滤波器系数用移位相加实现(Interpolation filter, audio decoder for modulation and demodulation, filter coefficient shift combined with the realization of)
- 2008-10-21 12:49:38下载
- 积分：1
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Buck-DC-DC-Converter
Buck DC DC Converter
- 2014-11-14 01:40:44下载
- 积分：1
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chengxu
MATLAB实现txt文本数据分离的源程序代码(MATLAB 实现txt 文本数据分离的源程序代码)
- 2014-11-18 19:09:04下载
- 积分：1
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dct-dft--dwt
基于Matlab的压缩感知DCT、DWT、DFT正交基及过完备字典稀疏分解信号及重构(Matlab-based compression perception DCT, DWT, DFT orthogonal basis and complete dictionary signal sparse decomposition and reconstruction)
- 2021-04-07 16:49:01下载
- 积分：1
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HW_3
SImulation of real time traffic signals
- 2010-06-11 21:19:54下载
- 积分：1
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thresh_tool
This tool launches a GUI for thresholding an intensity input image. A line on the histogram indicates the current threshold level. A binary image is displayed in the top right based on the level, click and drag the line. The output image updates automatically.
- 2010-09-30 16:13:55下载
- 积分：1
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model_of_ship
说明： 逆合成孔径雷达仿真舰船图像，包括舰船的俯仰、滚动、偏航运动。(Inverse synthetic aperture radar image simulation of ship, including the ship' s pitch, roll, yaw movement.)
- 2021-04-03 22:49:04下载
- 积分：1
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wzj5
线性和非线性适应有限元分析法的matlab工具包。(Linear and nonlinear adaptive finite element analysis method matlab toolkit.)
- 2010-05-25 19:45:50下载
- 积分：1
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source-codes
cohere(x,y,M) computes the coherence function using successive DFTs of length with a Hanning window and 50 overlap. (The window and overlap can be controlled via additional optional arguments.) We see a coherence peak at frequency cycles/sample, as expected, but there are also two rather large coherence samples on either side of the main peak. These are expected as well, since the true cross-spectrum for this case is a critically sampled Hanning window transform. (A window transform is critically sampled whenever the window length equals the DFT length.)
- 2011-06-22 01:31:54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
