Description: This demonstration illustrates the application of adaptive filters to signal separation
using a structure called an adaptive line enhancer (ALE). In adaptive line
enhancement, a measured signal x(n) contains two signals, an unknown signal
of interest v(n), and a nearly-periodic noise signal eta(n). The goal is to remove
the noise signal from the measured signal to obtain the signal of interest. Platform: |
Size: 116736 |
Author:zqq |
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Description: ％％ Active Noise Control Using a Filtered-X LMS FIR Adaptive Filter
％ This demonstration illustrates the application of adaptive filters to the
％ attenuation of acoustic noise via active noise control.
- Active Noise Control Using a Filtered-X LMS FIR Adaptive Filter This demonstration illustrates the application of adaptive filters to the attenuation of acoustic noise via active noise control. Platform: |
Size: 3072 |
Author:呙涛 |
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Description: 基于matlab的LMS和RLS的自适应滤波器的应用仿真，希望对大家有帮助。-Matlab based on the LMS and RLS adaptive filters using simulation, we want to help. Platform: |
Size: 522240 |
Author:wanchun |
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Description: 使用Matlab Gui实现的数字信号处理常用算法，包括卷积，FFT，FIRIIR数字滤波器设计，最佳滤波器，自适应滤波，卡尔曼滤波等-Implemented using the Matlab Gui commonly used digital signal processing algorithms, including convolution, FFT, FIRIIR digital filter design, the best filters, adaptive filtering, Kalman filtering, etc. Platform: |
Size: 363520 |
Author:张辉 |
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Description: Adaptive Echo Canceller Using a Modified LMS Algorithm
Abstract –– In this paper, an echo canceller is presented, using an adaptive filter with a modified LMS (Least Mean Square) algorithm, where this modification is achieved coding error on conventional LMS algorithm. simulation results, show a better convergence speed than conventional LMS algorithm, furthermore, Coded Error algorithm presents lesscomplexity for digital adaptive filters design, due to reduction of floating point operations.
Platform: |
Size: 1024 |
Author:venkat |
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Description: 这个代码能够比较精确地实现图像中道路区域的分割与提取。-This code addresses this question by
decomposing the road detection process into two steps: the estimation
of the vanishing point associated with the main (straight) part
of the road, followed by the segmentation of the corresponding
road area based upon the detected vanishing point. The main
technical contributions of the proposed approach are a novel
adaptive soft voting scheme based upon a local voting region using
high-confidence voters, whose texture orientations are computed
using Gabor filters, and a new vanishing-point-constrained edge
detection technique for detecting road boundaries. Platform: |
Size: 4096 |
Author:邵文 |
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Description: Matlab Code to filter data using the Least Mean Squares adaptive algorithm. processes an input WAV file and filters out noise according to the setup parameters Platform: |
Size: 9216 |
Author:rudzz |
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Description: 给出了kalman、RLS、LMS三种自适应滤波器的仿真matlab程序，在gVJmRJe环境下调试，三种滤波器都采用了10次迭代，平均CtPWTRQ参数性能良好，将仿真值与理论值进行了比较。-Given the Kalman and RLS and LMS three adaptive filter matlab simulation procedures, in the gVJmRJe environment debugging, three kinds of filters using the 10 iterations, average gVJmRJel parameters with good performance, simulation value was compared with the theoretical value.. Platform: |
Size: 6144 |
Author:riuxpa |
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Description: 给出了kalman、RLS、LMS三种自适应滤波器的仿真matlab程序，在vqTFFhe环境下调试，三种滤波器都采用了10次迭代，平均iJYAEeY参数性能良好，将仿真值与理论值进行了比较。-Given the Kalman and RLS and LMS three adaptive filter matlab simulation procedures, in the vqTFFhe environment debugging, three kinds of filters using the 10 iterations, average vqTFFhel parameters with good performance, simulation value was compared with the theoretical value.. Platform: |
Size: 12288 |
Author:fitnuf |
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Description: 给出了kalman、RLS、LMS三种自适应滤波器的仿真matlab程序，在hhfRXBj环境下调试，三种滤波器都采用了10次迭代，平均vSAtnCY参数性能良好，将仿真值与理论值进行了比较。-Given the Kalman and RLS and LMS three adaptive filter matlab simulation procedures, in the hhfRXBj environment debugging, three kinds of filters using the 10 iterations, average hhfRXBjl parameters with good performance, simulation value was compared with the theoretical value.. Platform: |
Size: 5120 |
Author:bzsfgw |
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Description: 给出了kalman、RLS、LMS三种自适应滤波器的仿真matlab程序，在IixQFds环境下调试，三种滤波器都采用了10次迭代，平均DukvYML参数性能良好，将仿真值与理论值进行了比较。-Given the Kalman and RLS and LMS three adaptive filter matlab simulation procedures, in the IixQFds environment debugging, three kinds of filters using the 10 iterations, average IixQFdsl parameters with good performance, simulation value was compared with the theoretical value.. Platform: |
Size: 6144 |
Author:xdrzzb |
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Description: 给出了kalman、RLS、LMS三种自适应滤波器的仿真matlab程序，在umwIcVC环境下调试，三种滤波器都采用了10次迭代，平均wnWcrdQ参数性能良好，将仿真值与理论值进行了比较。-Given the Kalman and RLS and LMS three adaptive filter matlab simulation procedures, in the umwIcVC environment debugging, three kinds of filters using the 10 iterations, average umwIcVCl parameters with good performance, simulation value was compared with the theoretical value.. Platform: |
Size: 7168 |
Author:nbtxdb |
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Description: 给出了kalman、RLS、LMS三种自适应滤波器的仿真matlab程序，在RRoFbxS环境下调试，三种滤波器都采用了10次迭代，平均mjTXwXK参数性能良好，将仿真值与理论值进行了比较。-Given the Kalman and RLS and LMS three adaptive filter matlab simulation procedures, in the RRoFbxS environment debugging, three kinds of filters using the 10 iterations, average RRoFbxSl parameters with good performance, simulation value was compared with the theoretical value.. Platform: |
Size: 8192 |
Author:hjryqb |
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Description: 给出了kalman、RLS、LMS三种自适应滤波器的仿真matlab程序，在vrNIMeo环境下调试，三种滤波器都采用了10次迭代，平均TbsItmJ参数性能良好，将仿真值与理论值进行了比较。-Given the Kalman and RLS and LMS three adaptive filter matlab simulation procedures, in the vrNIMeo environment debugging, three kinds of filters using the 10 iterations, average vrNIMeol parameters with good performance, simulation value was compared with the theoretical value.. Platform: |
Size: 10240 |
Author:vznits |
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Description: 给出了kalman、RLS、LMS三种自适应滤波器的仿真matlab程序，在fpucUim环境下调试，三种滤波器都采用了10次迭代，平均iUgnLIw参数性能良好，将仿真值与理论值进行了比较。-Given the Kalman and RLS and LMS three adaptive filter matlab simulation procedures, in the fpucUim environment debugging, three kinds of filters using the 10 iterations, average fpucUiml parameters with good performance, simulation value was compared with the theoretical value.. Platform: |
Size: 5120 |
Author:cjnrgr |
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Description: 给出了kalman、RLS、LMS三种自适应滤波器的仿真matlab程序，在sxUYJdN环境下调试，三种滤波器都采用了10次迭代，平均GMeiCCE参数性能良好，将仿真值与理论值进行了比较。-Given the Kalman and RLS and LMS three adaptive filter matlab simulation procedures, in the sxUYJdN environment debugging, three kinds of filters using the 10 iterations, average sxUYJdNl parameters with good performance, simulation value was compared with the theoretical value.. Platform: |
Size: 6144 |
Author:nnsrdf |
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Description: 给出了kalman、RLS、LMS三种自适应滤波器的仿真matlab程序，在eNuKujn环境下调试，三种滤波器都采用了10次迭代，平均iSvKUtH参数性能良好，将仿真值与理论值进行了比较。-Given the Kalman and RLS and LMS three adaptive filter matlab simulation procedures, in the eNuKujn environment debugging, three kinds of filters using the 10 iterations, average eNuKujnl parameters with good performance, simulation value was compared with the theoretical value.. Platform: |
Size: 10240 |
Author:pstmuh |
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Description: 给出了kalman、RLS、LMS三种自适应滤波器的仿真matlab程序，在MRhfUXT环境下调试，三种滤波器都采用了10次迭代，平均vGyPRdF参数性能良好，将仿真值与理论值进行了比较。-Given the Kalman and RLS and LMS three adaptive filter matlab simulation procedures, in the MRhfUXT environment debugging, three kinds of filters using the 10 iterations, average MRhfUXTl parameters with good performance, simulation value was compared with the theoretical value.. Platform: |
Size: 7168 |
Author:bfcajd |
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Description: 给出了kalman、RLS、LMS三种自适应滤波器的仿真matlab程序，在njxiNhq环境下调试，三种滤波器都采用了10次迭代，平均eSLRsgl参数性能良好，将仿真值与理论值进行了比较。-Given the Kalman and RLS and LMS three adaptive filter matlab simulation procedures, in the njxiNhq environment debugging, three kinds of filters using the 10 iterations, average njxiNhql parameters with good performance, simulation value was compared with the theoretical value.. Platform: |
Size: 5120 |
Author:nszmsx |
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Description: MATLAB codes for adaptive filtering using least mean square, nominal LMS and Wiener filter using forward linear prediction and backward linear prediction. Platform: |
Size: 176128 |
Author:MHQ
|
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