Description: 一套行之有效的指纹处理算法, 主要包括使用基于方向图的自适应旋转滤波器、与自
适应增强滤波同时进行的自适应阈值边缘处理、自适应阈值二值化, 很好地增强了指纹图像的清晰度, 同时起到了很好的滤波作用, 为可靠、准确地实现指纹自动识别系统奠定了最可靠的基础。-A well-established fingerprint-processing algorithms, including pattern-based adaptive spin filter, and the adaptive filter at the same time enhancing the adaptive threshold edge processing, adaptive threshold binarization, well enhanced fingerprint image clarity, while a very good filtering role, as a reliable, accurate automatic fingerprint identification system has laid a foundation for the most reliable. Platform: |
Size: 158720 |
Author:memcpy |
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Description: System identification with adaptive filter using full and partial-update Affine Projection Algorithm Platform: |
Size: 6144 |
Author:Peter Tiong |
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Description: System identification with adaptive filter using full and partial-update Generalised-Sideband-Decomposition Least-Mean-Squares Platform: |
Size: 4096 |
Author:Peter Tiong |
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Description: System identification with adaptive filter using full and partial-update Least-Mean-Squares -System identification with adaptive filter using full and partial-update Least-Mean-Squares Platform: |
Size: 4096 |
Author:Peter Tiong |
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Description: System identification with adaptive filter using full and partial-update Normalised-Least-Mean-Squares
Platform: |
Size: 5120 |
Author:Peter Tiong |
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Description: System identification with adaptive filter using full and partial-update Recursive-Least-Squares
-System identification with adaptive filter using full and partial-update Recursive-Least-Squares
Platform: |
Size: 6144 |
Author:Peter Tiong |
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Description: System identification with adaptive filter using full and partial-update Transform-Domain Least-Mean-Squares-System identification with adaptive filter using full and partial-update Transform-Domain Least-Mean-Squares Platform: |
Size: 4096 |
Author:Peter Tiong |
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Description: 自适应FIR滤波器系统识别，输出原始信号频谱，经未知系统后信号频谱和经自适应FIR滤波器后信号频谱-Adaptive FIR filter system identification, output the original signal spectrum after the signal through the unknown system by the adaptive FIR filter spectrum and signal spectrum after the Platform: |
Size: 1024 |
Author:秘密 |
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Description: 通过FIR滤波器的自适应调整，不断修正其系统函数，使其与未知系统的参数充分逼近，从而使误差最小，达到系统辨识的目的。-Through the adaptive FIR filter, and continuously revise its system function, so that the unknown system parameters with sufficient approximation, so that the smallest error to achieve system identification purposes. Platform: |
Size: 1024 |
Author:wanchun |
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Description: 最小均方算法是一种自适应滤波算法，这里的Matlab程序用于根据LMS最新均方识别一个线性噪声系统-LMS algorithm is an adaptive filter algorithm, where the Matlab program for the latest according to the mean square LMS noise system identification of a linear Platform: |
Size: 1024 |
Author:lluu |
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Description: 通过FIR滤波器的自适应调整，不断修正其系统函数，使其与未知系统的参数充分逼近，从而使误差最小，达到系统辨识的目的。
-Through the adaptive FIR filter, constantly modify the system function, with unknown system parameters to the full approach, so that error, and achieve the purpose of system identification. Platform: |
Size: 4096 |
Author:颜天宇 |
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Description: 基于Kalman自适应滤波的QPSK信号系统逆辨识算法-Kalman Adaptive Filter Based on QPSK signal system inverse identification algorithm Platform: |
Size: 2048 |
Author:杨勇 |
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Description: matlab实现自适应滤波，分别用LMS算法和RLS算法实现系统辨识问题。-matlab adaptive filter, LMS algorithm and RLS were used algorithms for system identification problems. Platform: |
Size: 3072 |
Author:zhangfei |
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Description: LMS自适应滤波器做系统辨识，输入为高斯白噪声，可运行，有注释-LMS adaptive filter to do system identification, input Gaussian white noise can be run by a comment Platform: |
Size: 1024 |
Author:lulu |
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Description: RLS自适应滤波器程序做系统辨识，输入为高斯白噪声，内有详细注释，可运行-RLS adaptive filter program to do system identification, the input is Gaussian white noise, with detailed notes, you can run Platform: |
Size: 1024 |
Author:lulu |
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