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利用matlab编写的kalman的实际应用例子程序,对学习kalman自适应滤波可以学习一下-using Matlab prepared by the Arch example of the practical application procedures Adaptive learning Kalman filter can learn from this
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考虑一个线性自适应均衡器的原理方框图如《现代数字信号处理导论》p.275自适应均衡器应用示意图。用LMS算法实现这个自适应均衡器,画出一次实验的误差平方的收敛曲线,给出最后设计滤波器系数。一次实验的训练序列长度为500。进行20次独立实验,画出误差平方的收敛曲线。给出3个步长值的比较。-consider a linear adaptive equalizer block diagram as the principle of "modern digital signal process
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考虑一个线性自适应均衡器的原理方框图如《现代数字信号处理导论》p.275自适应均衡器应用示意图。用LMS算法实现这个自适应均衡器,画出一次实验的误差平方的收敛曲线,给出最后设计滤波器系数。一次实验的训练序列长度为500。进行20次独立实验,画出误差平方的收敛曲线。给出3个步长值的比较。-consider a linear adaptive equalizer block diagram as the principle of "modern digital signal process
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RLS自适应滤波器,实现自适应滤波算法的应用,此过程发现它对自适应滤波的算法与其他的不同之处-RLSAdaptive FilterThe application of adaptive filtering algorithm, the process adaptive filter algorithm that it differs from other
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LMS算法、NLMS算法和RLS算法的仿真和当今应用较广的自适应均衡器、自适应分离器、自适应滤波器。-LMS algorithm, NLMS algorithm and RLS algorithm simulation and present a wider application of adaptive equalization, adaptive separation, adaptive filter.
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神经网络实用教程(部分章节)是讲述关于神经网络系统在自适应滤波中的应用。-Neural network practical course (in part) is about neural network adaptive filter system in the application.
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RLS自适应横向FIR滤波器设计与应用仿真,压缩文件里面有说明文档,和源代码。-The designing and simulation of the application of RLS adaptive FIR filter.Introduction documents and codes inside.
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在基于Mean-Shift的目标跟踪算法中,尺度自适应机制是算法研究的一个重要方向。一种典型的方法采
用Lindeberg的尺度空间理论以获取目标尺度信息。但现有算法中将尺度由2.D矢量压缩为1一D量,未能精细地
刻画目标仿射变换时的尺度变化,从而限制了算法的适用范围。为此,该文将尺度维1.D滤波推广至2一D,构造得
到了相应的垂D尺度空间,并利用窄间维和尺度维的Mean-Shift交替迭代,实现了同时在空间位置和尺度方向对
目标的有效跟踪,提高了算法在目标尺度变化时的自适应性,
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fcnFrostFilter performs noise filtering on an image based on an adaptive filter proposed by Frost.
[1] V. S. Frost, et al., "A Model for Radar Images and Its Application to Adaptive Digital Filtering of Multiplicative Noise," IEEE Trans. Pattern
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信号处理,有关自适应滤波器噪声抵消的应用;效果比较好,对学自适应滤波有一定的帮助。-Signal processing, the application of adaptive noise cancellation filter results were better for learning adaptive filter has some help.
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基于music的自适应滤波器matlab的应用仿真-Based on the music of the adaptive filter matlab application simulation
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基于LMS和RLS的自适应滤波器的应用仿真 两者比较-Application simulation both LMS and RLS adaptive filter based
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自适应滤波器和维纳滤波器一样是符合某种准则的最佳滤波器。维纳滤波器参数固定,适用于平稳随机信号的最佳滤波,设计时需要知道 和 这些先验知识,应用困难。-Like adaptive filter and Wiener filter is the best filter to meet certain criteria. Wiener filter parameters fixed, applicable to stationary random signal filtering, need to
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自适应滤波LMS算法实现有源噪声消除:Mtalab程序;FLMS算法-Application Program to Test Active Noise Controla 32-tap adaptive FIR filter is used to produce an anti-noise to cancel the primary noise. The adaptive algorithms used here are the filtered-x LMS (FXLMS) and normali
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基于SVPWM的三电平逆变的matlab仿真,部分实现了追踪测速迭代松弛算法,包括 MUSIC算法,ESPRIT算法 ROOT-MUSIC算法,应用小区域方差对比,程序简单,FIR 底通和带通滤波器和IIR 底通和带通滤波器,一些自适应信号处理的算法。-Based on SVPWM three-level inverter matlab simulation, Partially achieved tracking speed iterative relaxation algorithm, In
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验证可用,应用小区域方差对比,程序简单,是机器学习的例程,阐述了负荷预测的应用研究,一些自适应信号处理的算法,最终的权值矩阵就是滤波器的系数,基于kaiser窗的双谱线插值FFT谐波分析。- Verification is available, Application of small area variance comparison, simple procedures, Machine learning routines, It describes the application of lo
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