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It solved the contradiction of the convergence rate, tracking capabilities and the steady-state error, but when the error close to zero, step size  changes too much, that lead to greater step in steady state
Date : 2025-09-10 Size : 687kb User : abbas

t improved the convergence speed and tracking speed further. In this paper, a new adaptive variable step size algorithm is proposed based on the LMS filter algorithm of Lorentzian function,
Date : 2025-09-10 Size : 541kb User : abbas

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A variety of image coding Including filtering edge detection frequency domain transform signal-to-noise ratio,
Date : 2025-09-10 Size : 334kb User : ISAdnmqt

From the above formulas we can see, when choose the value of the step factor, the steady-state error and convergence rate are contradictory mutually, that is, the smaller step size lead to smaller offset and the slower c
Date : 2025-09-10 Size : 808kb User : abbas

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A variety of image coding Including filtering edge detection frequency domain transform signal-to-noise ratio,
Date : 2025-09-10 Size : 334kb User : ISAdnmqt

In the beginning of adaption, the big error makes the big step size and fast convergence rate with the adaptive process going on, errors are reduced gradually, step size is also decreased. When adaption reached steady-st
Date : 2025-09-10 Size : 812kb User : abbas

In the beginning of adaption, the big error makes the big step size and fast convergence rate with the adaptive process going on, errors are reduced gradually, step size is also decreased. When adaption reached steady-st
Date : 2025-09-10 Size : 769kb User : abbas

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In the beginning of adaption, the big error makes the big step size and fast convergence rate with the adaptive process going on, errors are reduced gradually, step size is also decreased. When adaption reached steady-st
Date : 2025-09-10 Size : 825kb User : abbas

Downloaded:0
The sum of all image study in the university experiment is entirely, CPP source opportunity don t miss,
Date : 2025-09-10 Size : 193kb User : oerazd

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In the beginning of adaption, the big error makes the big step size and fast convergence rate with the adaptive process going on, errors are reduced gradually, step size is also decreased. When adaption reached steady-st
Date : 2025-09-10 Size : 674kb User : abbas

Downloaded:0
Big law and the iteration method is to achieve better two methods of binarization, here is the source of the two methods
Date : 2025-09-10 Size : 2kb User : Cdrpwdae

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MCGS u4E0E u4E32 u53E3 u626B u63CF u67AA u8FDE u63A5, u6D4B u8BD5 u6709 u6548 uFF0C u6D4B u8BD5 u6 709 u6548
Date : 2025-09-10 Size : 1.36mb User : yao
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