《自适应滤波器算法与实现》的源码

上传者: tongxian111 | 上传时间: 2019-12-21 21:16:27 | 文件大小: 138KB | 文件类型: zip
《自适应滤波器算法与实现》 的MATLAB源码,包含了各种自适应算法,如LMS NLMS, RLS,很实用。

文件下载

资源详情

[{"title":"( 89 个子文件 138KB ) 《自适应滤波器算法与实现》的源码","children":[{"title":"license.txt <span style='color:#111;'> 1.59KB </span>","children":null,"spread":false},{"title":"Adaptive_filtering_toolbox_v4","children":[{"title":"readme_toolbox <span style='color:#111;'> 1.28KB </span>","children":null,"spread":false},{"title":"Utilities","children":[{"title":"ar.m <span style='color:#111;'> 939B </span>","children":null,"spread":false},{"title":"qround.m <span style='color:#111;'> 224B </span>","children":null,"spread":false},{"title":"example_qround_quantization_effects.m <span style='color:#111;'> 1.49KB </span>","children":null,"spread":false}],"spread":true},{"title":"IIR_Adaptive_Filters","children":[{"title":"example_systemID_Steiglitz_McBride2.m <span style='color:#111;'> 3.98KB </span>","children":null,"spread":false},{"title":"GaussNewton_GradientBased.m <span style='color:#111;'> 4.35KB </span>","children":null,"spread":false},{"title":"example_systemID_GaussNewton.m <span style='color:#111;'> 3.95KB </span>","children":null,"spread":false},{"title":"GaussNewton.m <span style='color:#111;'> 4.66KB </span>","children":null,"spread":false},{"title":"example_systemID_GaussNewton_GradientBased.m <span style='color:#111;'> 3.95KB </span>","children":null,"spread":false},{"title":"RLS_IIR.m <span style='color:#111;'> 4.62KB </span>","children":null,"spread":false},{"title":"example_systemID_RLS_IIR.m <span style='color:#111;'> 3.93KB </span>","children":null,"spread":false},{"title":"ErrorEquation.m <span style='color:#111;'> 4.70KB </span>","children":null,"spread":false},{"title":"example_systemID_ErrorEquation.m <span style='color:#111;'> 3.98KB </span>","children":null,"spread":false},{"title":"example_systemID_Steiglitz_McBride.m <span style='color:#111;'> 3.96KB </span>","children":null,"spread":false},{"title":"example_systemID_ErrorEquation2.m <span style='color:#111;'> 4.02KB </span>","children":null,"spread":false},{"title":"Steiglitz_McBride.m <span style='color:#111;'> 4.51KB </span>","children":null,"spread":false}],"spread":false},{"title":"Subband_Adaptive_Filters","children":[{"title":"olsblms.m <span style='color:#111;'> 3.52KB </span>","children":null,"spread":false},{"title":"dlcllms.m <span style='color:#111;'> 4.60KB </span>","children":null,"spread":false},{"title":"cosmod_4_64.mat <span style='color:#111;'> 4.40KB </span>","children":null,"spread":false},{"title":"cfdlms.m <span style='color:#111;'> 3.72KB </span>","children":null,"spread":false}],"spread":true},{"title":"Blind_Adaptive_Filtering","children":[{"title":"example_channelEQ_CMA.m <span style='color:#111;'> 5.21KB </span>","children":null,"spread":false},{"title":"example_channelEQ_Sato.m <span style='color:#111;'> 5.21KB </span>","children":null,"spread":false},{"title":"CMA.m <span style='color:#111;'> 3.54KB </span>","children":null,"spread":false},{"title":"Sato.m <span style='color:#111;'> 3.48KB </span>","children":null,"spread":false},{"title":"example_channelEQ_Godard.m <span style='color:#111;'> 5.44KB </span>","children":null,"spread":false},{"title":"Affine_projectionCM.m <span style='color:#111;'> 4.13KB </span>","children":null,"spread":false},{"title":"Godard.m <span style='color:#111;'> 3.82KB </span>","children":null,"spread":false},{"title":"example_channelEQ_Affine_projectionCM.m <span style='color:#111;'> 5.43KB </span>","children":null,"spread":false}],"spread":true},{"title":"RLS_Algorithms","children":[{"title":"example_systemID_RLS_Alt.m <span style='color:#111;'> 4.64KB </span>","children":null,"spread":false},{"title":"RLS.m <span style='color:#111;'> 5.09KB </span>","children":null,"spread":false},{"title":"example_systemID_RLS.m <span style='color:#111;'> 4.56KB </span>","children":null,"spread":false},{"title":"RLS_Alt.m <span style='color:#111;'> 5.16KB </span>","children":null,"spread":false}],"spread":true},{"title":"Set-membership_Algorithms","children":[{"title":"example_systemID_SM_AP.m <span style='color:#111;'> 4.73KB </span>","children":null,"spread":false},{"title":"example_systemID_SM_NLMS.m <span style='color:#111;'> 4.50KB </span>","children":null,"spread":false},{"title":"SM_AP.m <span style='color:#111;'> 5.56KB </span>","children":null,"spread":false},{"title":"example_systemID_Simp_SM_AP.m <span style='color:#111;'> 4.63KB </span>","children":null,"spread":false},{"title":"SM_NLMS.m <span style='color:#111;'> 4.19KB </span>","children":null,"spread":false},{"title":"example_systemID_SM_BNLMS.m <span style='color:#111;'> 4.44KB </span>","children":null,"spread":false},{"title":"SM_BNLMS.m <span style='color:#111;'> 4.66KB </span>","children":null,"spread":false},{"title":"Simp_SM_AP.m <span style='color:#111;'> 5.00KB </span>","children":null,"spread":false},{"title":"Simp_SM_PUAP.m <span style='color:#111;'> 6.09KB </span>","children":null,"spread":false},{"title":"example_systemID_Simp_SM_PUAP.m <span style='color:#111;'> 4.90KB </span>","children":null,"spread":false}],"spread":true},{"title":"Fast_Transversal_RLS_Algorithms","children":[{"title":"Fast_RLS.m <span style='color:#111;'> 4.84KB </span>","children":null,"spread":false},{"title":"example_systemID_Fast_RLS.m <span style='color:#111;'> 4.28KB </span>","children":null,"spread":false},{"title":"Stab_Fast_RLS.m <span style='color:#111;'> 5.81KB </span>","children":null,"spread":false},{"title":"example_systemID_Stab_Fast_RLS.m <span style='color:#111;'> 4.30KB </span>","children":null,"spread":false}],"spread":true},{"title":"license <span style='color:#111;'> 608B </span>","children":null,"spread":false},{"title":"LMS-based_Algorithms","children":[{"title":"Tdomain_DFT.m <span style='color:#111;'> 5.44KB </span>","children":null,"spread":false},{"title":"example_systemID_LMS_Newton.m <span style='color:#111;'> 4.42KB </span>","children":null,"spread":false},{"title":"example_systemID_Power2_error.m <span style='color:#111;'> 4.08KB </span>","children":null,"spread":false},{"title":"example_systemID_NLMS.m <span style='color:#111;'> 4.09KB </span>","children":null,"spread":false},{"title":"example_systemID_Dual_sign.m <span style='color:#111;'> 4.02KB </span>","children":null,"spread":false},{"title":"example_systemID_Tdomain.m <span style='color:#111;'> 4.50KB </span>","children":null,"spread":false},{"title":"example_systemID_Sign_error.m <span style='color:#111;'> 3.83KB </span>","children":null,"spread":false},{"title":"Power2_error.m <span style='color:#111;'> 3.88KB </span>","children":null,"spread":false},{"title":"NLMS.m <span style='color:#111;'> 3.55KB </span>","children":null,"spread":false},{"title":"LMS.m <span style='color:#111;'> 3.37KB </span>","children":null,"spread":false},{"title":"example_systemID_LMS.m <span style='color:#111;'> 3.97KB </span>","children":null,"spread":false},{"title":"example_systemID_Affine_projection.m <span style='color:#111;'> 4.22KB </span>","children":null,"spread":false},{"title":"Dual_sign.m <span style='color:#111;'> 3.78KB </span>","children":null,"spread":false},{"title":"Affine_projection.m <span style='color:#111;'> 4.26KB </span>","children":null,"spread":false},{"title":"Sign_data.m <span style='color:#111;'> 3.40KB </span>","children":null,"spread":false},{"title":"Sign_error.m <span style='color:#111;'> 3.41KB </span>","children":null,"spread":false},{"title":"example_systemID_Tdomain_DFT.m <span style='color:#111;'> 4.42KB </span>","children":null,"spread":false},{"title":"Tdomain.m <span style='color:#111;'> 5.28KB </span>","children":null,"spread":false},{"title":"example_systemID_Tdomain_DCT.m <span style='color:#111;'> 4.42KB </span>","children":null,"spread":false},{"title":"Tdomain_DCT.m <span style='color:#111;'> 5.40KB </span>","children":null,"spread":false},{"title":"LMS_Newton.m <span style='color:#111;'> 4.21KB </span>","children":null,"spread":false},{"title":"example_systemID_Sign_data.m <span style='color:#111;'> 3.83KB </span>","children":null,"spread":false}],"spread":false},{"title":"Nonlinear_Adaptive_Filters","children":[{"title":"Bilinear_RLS.m <span style='color:#111;'> 2.08KB </span>","children":null,"spread":false},{"title":"sgd.m <span style='color:#111;'> 134B </span>","children":null,"spread":false},{"title":"Complex_Radial_Basis_Function.m <span style='color:#111;'> 2.74KB </span>","children":null,"spread":false},{"title":"Radial_Basis_Function.m <span style='color:#111;'> 2.58KB </span>","children":null,"spread":false},{"title":"sgm.m <span style='color:#111;'> 108B </span>","children":null,"spread":false},{"title":"Volterra_RLS.m <span style='color:#111;'> 2.06KB </span>","children":null,"spread":false},{"title":"Multilayer_Perceptron.m <span style='color:#111;'> 2.55KB </span>","children":null,"spread":false},{"title":"Volterra_LMS.m <span style='color:#111;'> 2.04KB </span>","children":null,"spread":false}],"spread":true},{"title":"QR-decomposition-based_RLS_Algorithms","children":[{"title":"example_systemID_QR_RLS.m <span style='color:#111;'> 4.13KB </span>","children":null,"spread":false},{"title":"QR_RLS.m <span style='color:#111;'> 5.40KB </span>","children":null,"spread":false}],"spread":true},{"title":"versions <span style='color:#111;'> 2.36KB </span>","children":null,"spread":false},{"title":"Lattice-based_RLS_Algorithms","children":[{"title":"example_systemID_NLRLS_pos.m <span style='color:#111;'> 4.38KB </span>","children":null,"spread":false},{"title":"example_systemID_LRLS_priori.m <span style='color:#111;'> 4.15KB </span>","children":null,"spread":false},{"title":"LRLS_pos.m <span style='color:#111;'> 6.11KB </span>","children":null,"spread":false},{"title":"LRLS_priori.m <span style='color:#111;'> 6.25KB </span>","children":null,"spread":false},{"title":"example_systemID_LRLS_pos_ErrorFeedback.m <span style='color:#111;'> 4.17KB </span>","children":null,"spread":false},{"title":"LRLS_pos_ErrorFeedback.m <span style='color:#111;'> 6.76KB </span>","children":null,"spread":false},{"title":"NLRLS_pos.m <span style='color:#111;'> 5.35KB </span>","children":null,"spread":false},{"title":"example_systemID_LRLS_pos.m <span style='color:#111;'> 4.18KB </span>","children":null,"spread":false}],"spread":true}],"spread":false}],"spread":true}]

评论信息

  • changzhengsanhao :
    很好的资料
    2019-01-28
  • wwdragonfly88 :
    谢谢!非常好
    2018-02-27
  • 小驴哥 :
    不错!源码至少能作为参考
    2017-08-28
  • dfbluetooth3 :
    找的就是这个,谢谢!非常好
    2016-12-26

免责申明

【只为小站】的资源来自网友分享,仅供学习研究,请务必在下载后24小时内给予删除,不得用于其他任何用途,否则后果自负。基于互联网的特殊性,【只为小站】 无法对用户传输的作品、信息、内容的权属或合法性、合规性、真实性、科学性、完整权、有效性等进行实质审查;无论 【只为小站】 经营者是否已进行审查,用户均应自行承担因其传输的作品、信息、内容而可能或已经产生的侵权或权属纠纷等法律责任。
本站所有资源不代表本站的观点或立场,基于网友分享,根据中国法律《信息网络传播权保护条例》第二十二条之规定,若资源存在侵权或相关问题请联系本站客服人员,zhiweidada#qq.com,请把#换成@,本站将给予最大的支持与配合,做到及时反馈和处理。关于更多版权及免责申明参见 版权及免责申明