文件名称:KAF

  • 所属分类:
  • 其他小程序
  • 资源属性:
  • [Matlab] [源码]
  • 上传时间:
  • 2017-03-17
  • 文件大小:
  • 2mb
  • 下载次数:
  • 1次
  • 提 供 者:
  • S.H.*****
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基于核函数的自适应滤波算法的相关代码,很全面。它是对照同名的书籍。-Kernel Adaptive Filtering A Comprehensive Introduction
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Kernel Adaptive Filtering A Comprehensive Introduction

......................................................\ch2_codes

......................................................\.........\channelEq

......................................................\.........\.........\PART1.m

......................................................\.........\.........\PART2.m

......................................................\.........\mg_prediction

......................................................\.........\.............\gramMatrix.m

......................................................\.........\.............\ker_eval.m

......................................................\.........\.............\KLMS1.m

......................................................\.........\.............\KLMS1_LC.m

......................................................\.........\.............\KLMS3.m

......................................................\.........\.............\LMS1.m

......................................................\.........\.............\MK30.mat

......................................................\.........\.............\PART1.m

......................................................\.........\.............\PART10.m

......................................................\.........\.............\PART2.m

......................................................\.........\.............\PART3.m

......................................................\.........\.............\PART4.m

......................................................\.........\.............\PART5.m

......................................................\.........\.............\PART6.m

......................................................\.........\.............\PART7.m

......................................................\.........\.............\PART8.m

......................................................\.........\.............\PART9.m

......................................................\.........\.............\regularizationNetwork.m

......................................................\.........\.............\sparseKLMS1.m

......................................................\.........\regularization_function

......................................................\.........\.......................\regularizationfuntion.m

......................................................\ch3_codes

......................................................\.........\channelEq

......................................................\.........\.........\APA1.m

......................................................\.........\.........\APA1s.m

......................................................\.........\.........\gramMatrix.m

......................................................\.........\.........\ker_eval.m

......................................................\.........\.........\LMS1.m

......................................................\.........\.........\LMS1s.m

......................................................\.........\.........\LMS2.m

......................................................\.........\.........\PART1.m

......................................................\.........\.........\PART2.m

......................................................\.........\.........\PART3.m

......................................................\.........\.........\sparseKAPA1.m

......................................................\.........\.........\sparseKAPA1s.m

......................................................\.........\.........\sparseKAPA2.m

......................................................\.........\.........\sparseKAPA2s.m

......................................................\.........\.........\sparseKLMS1.m

......................................................\.........\.........\sparseKLMS1s.m

......................................................\.........\mg_prediction

......................................................\.........\.............\gramMatrix.m

......................................................\.........\.............\K

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