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ImageSOMQuantization
This package implements vectoriel quantization according Self Organizing Map paradigm
It allows to :
1. generate a codebook training images set
2. reconstruct a test image according to the generated codebook
3. ute the Peak Signal to Noise Ratio (PSNR) between the test image
and the image obtained after quantization
4. estimate execution time of this process
- 2015-02-19 06:23:12下载
- 积分:1
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T02
matlab对一幅图像,采用半径值为20、80、200的截止频率进行理想低通滤波,观察其结果。要求给出原图像及相应的付利叶频谱图和滤波结果(For an image, using the radius value of the cutoff frequency 20,80,200 ideal low-pass filter to observe the results. Required to give the original image and the corresponding Fourier spectrum and filtering results)
- 2014-01-08 10:38:37下载
- 积分:1
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拟NewtonBFGS算法(精确)
BFGS是一类凸优化算法;对无约束优化问题十分有效。(Convex optimization algorithm; unconstrained optimization)
- 2019-04-12 18:38:50下载
- 积分:1
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LTEphysical
详述了物理层,LTE物理层信道与信号,以及整个物理层的过程。(Details of the LTE physical layer, LTE physical layer channel and the signal, and the entire physical layer process.)
- 2010-08-23 08:42:53下载
- 积分:1
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d_ieee_30_bus
ieee 30 bus test system in simulink
- 2012-07-21 15:47:48下载
- 积分:1
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gujiahua
图像骨架化,处理效果明显,希望能够帮助大家学习。(Image skeleton, treatment effect is obvious, hoping to help you learn.)
- 2013-05-25 22:55:25下载
- 积分:1
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MATLAB_programming_interpolation_and_curve_fitting
MATLAB程序设计插值及曲线拟合算法MATLAB programming interpolation and curve fitting algorithm(MATLAB programming interpolation and curve fitting algorithm MATLAB programming interpolation and curve fitting algorithm)
- 2010-08-02 10:28:53下载
- 积分:1
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techtrade
technical trading in matlab
- 2009-10-03 20:51:20下载
- 积分:1
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FCMclust1
it is about fcm code in the matlab.
- 2011-08-08 04:12:34下载
- 积分:1
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compress_sensing_without_frame
Compressive sampling is an emerging technique that promises to effectively recover a sparse signal from far fewer measurements than its dimension. The compressive sampling theory assures almost an exact recovery of a sparse signal if the signal is sensed randomly where the number of the measurements taken is proportional to the sparsity level and a log factor of the signal dimension. Encouraged by this emerging technique, this thesis briefly reviews the application of Compressive sampling in speech processing. It comprises the basic study of two necessary condition of compressive sensing theory: sparsity and incoherence. In this thesis, various sparsity domain and sensing matrix for speech signal and different pairs that satisfy incoherence condition has been compiled.
- 2014-01-27 20:55:41下载
- 积分:1