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fdct_usfft_cpp
This directory includes matlab interface of the curvelet transform
using usfft.
Basic functions
fdct_usfft.m -- forward curvelet transform
afdct_usfft.m -- adjoint curvelet transform
ifdct_usfft.m -- inverse curvelet transform
fdct_usfft_param.m -- returns the location of each curvelet in phase-space
Useful tools
fdct_usfft_dispcoef.m -- returns a matrix contains all curvelet coefficients
fdct_usfft_pos2idx.m -- for fixed scale and fixed direction, returns
the curvelet which is closest to a certain point on the image
Demos
fdct_usfft_demo_basic.m -- display the shape of a curvelet
fdct_usfft_demo_recon.m -- partial reconstruction using curvelet
fdct_usfft_demo_disp.m -- display all the curvelet coefficients of an image
fdct_usfft_demo_denoise.m -- image denoising using curvelet(This directory includes matlab interface of the curvelet transform
using usfft.
Basic functions
fdct_usfft.m-- forward curvelet transform
afdct_usfft.m-- adjoint curvelet transform
ifdct_usfft.m-- inverse curvelet transform
fdct_usfft_param.m-- returns the location of each curvelet in phase-space
Useful tools
fdct_usfft_dispcoef.m-- returns a matrix contains all curvelet coefficients
fdct_usfft_pos2idx.m-- for fixed scale and fixed direction, returns
the curvelet which is closest to a certain point on the image
Demos
fdct_usfft_demo_basic.m-- display the shape of a curvelet
fdct_usfft_demo_recon.m-- partial reconstruction using curvelet
fdct_usfft_demo_disp.m-- display all the curvelet coefficients of an image
fdct_usfft_demo_denoise.m-- image denoising using curvelet)
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- 积分：1
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202080719
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The upper and lower boundaries are used to to enter and exit trades.
For example, if prices fall below the lower boundary a buy signal is
generated.
)
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simple tool for manual building of hand history based on emulation of PokerStars hand history files via GUI
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matlab中S-function的应用及使用说明，可供编程时参考(Matlab S-function description and application, can be used as a reference when programming)
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非线性方程求解1--5（3）
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说明： 一种OFDM的系统实现，这是一个较新的实现方法。请各位高手指点！(an OFDM System, which is a relatively new method. Please master guiding you!)
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本人的模糊控制课堂作业，基于Sugeno（TSK）推理的模糊控制器(Fuzzy control of my class assignments, based on Sugeno (TSK) inference of the fuzzy controller)
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