登录
首页 » matlab » 自适应

自适应

于 2020-12-09 发布
0 181
下载积分: 1 下载次数: 2

代码说明:

说明:  lms消噪 语音降噪,自适应滤波算法,进行改进,误差调节三个参数(LMS denoising, speech denoising, adaptive filtering algorithm, improved, error adjustment of three parameters)

文件列表:

Adaptive Filtering Fundamentals of Least Mean Squares with MATLAB, 0 , 2018-03-23
Adaptive Filtering Fundamentals of Least Mean Squares with MATLAB\chapter3, 0 , 2018-03-23
Adaptive Filtering Fundamentals of Least Mean Squares with MATLAB\chapter3\example3_2_3.m, 907 , 2018-03-23
Adaptive Filtering Fundamentals of Least Mean Squares with MATLAB\chapter3\example3_3_2.m, 161 , 2018-03-23
Adaptive Filtering Fundamentals of Least Mean Squares with MATLAB\chapter3\example3_4_3.m, 349 , 2018-03-23
Adaptive Filtering Fundamentals of Least Mean Squares with MATLAB\chapter3\prob3_4_1.m, 349 , 2018-03-23
Adaptive Filtering Fundamentals of Least Mean Squares with MATLAB\chapter3\prob3_4_1a.m, 282 , 2018-03-23
Adaptive Filtering Fundamentals of Least Mean Squares with MATLAB\chapter4, 0 , 2018-03-23
Adaptive Filtering Fundamentals of Least Mean Squares with MATLAB\chapter4\ch4_realizations.m, 307 , 2018-03-23
Adaptive Filtering Fundamentals of Least Mean Squares with MATLAB\chapter4\ex4_4_1.m, 732 , 2018-03-23
Adaptive Filtering Fundamentals of Least Mean Squares with MATLAB\chapter4\ex4_5_1.m, 519 , 2018-03-23
Adaptive Filtering Fundamentals of Least Mean Squares with MATLAB\chapter4\ex4_6_1.m, 1057 , 2018-03-23
Adaptive Filtering Fundamentals of Least Mean Squares with MATLAB\chapter4\ex4_7_1.m, 559 , 2018-03-23
Adaptive Filtering Fundamentals of Least Mean Squares with MATLAB\chapter4\ex4_7_2.m, 662 , 2018-03-23
Adaptive Filtering Fundamentals of Least Mean Squares with MATLAB\chapter4\example_4_7_5.m, 426 , 2018-03-23
Adaptive Filtering Fundamentals of Least Mean Squares with MATLAB\chapter4\example_lmswelchpsd.m, 453 , 2018-03-23
Adaptive Filtering Fundamentals of Least Mean Squares with MATLAB\chapter4\example_the_Welch_PSD.m, 584 , 2018-03-23
Adaptive Filtering Fundamentals of Least Mean Squares with MATLAB\chapter4\fig4_15.m, 590 , 2018-03-23
Adaptive Filtering Fundamentals of Least Mean Squares with MATLAB\chapter4\fig4_17.m, 575 , 2018-03-23
Adaptive Filtering Fundamentals of Least Mean Squares with MATLAB\chapter4\fr_mean_autocor.m, 606 , 2018-03-23
Adaptive Filtering Fundamentals of Least Mean Squares with MATLAB\chapter4\lmsav_modifiedBTpsd.m, 619 , 2018-03-23
Adaptive Filtering Fundamentals of Least Mean Squares with MATLAB\chapter4\lmsbartlettpsd.m, 499 , 2018-03-23
Adaptive Filtering Fundamentals of Least Mean Squares with MATLAB\chapter4\lmsBTperiodogram.m, 1155 , 2018-03-23
Adaptive Filtering Fundamentals of Least Mean Squares with MATLAB\chapter4\lmslinear_modified_periodogram.m, 660 , 2018-03-23
Adaptive Filtering Fundamentals of Least Mean Squares with MATLAB\chapter4\lmsnormalpdf.m, 441 , 2018-03-23
Adaptive Filtering Fundamentals of Least Mean Squares with MATLAB\chapter4\lmsperiodogram.m, 942 , 2018-03-23
Adaptive Filtering Fundamentals of Least Mean Squares with MATLAB\chapter4\lmsperiodogramwin.m, 1006 , 2018-03-23
Adaptive Filtering Fundamentals of Least Mean Squares with MATLAB\chapter4\lmswelchpsd.m, 1140 , 2018-03-23
Adaptive Filtering Fundamentals of Least Mean Squares with MATLAB\chapter4\lms_aver_mod_bartlettpsd1.m, 800 , 2018-03-23
Adaptive Filtering Fundamentals of Least Mean Squares with MATLAB\chapter4\lms_aver_mod_bartlettpsd2.m, 487 , 2018-03-23
Adaptive Filtering Fundamentals of Least Mean Squares with MATLAB\chapter4\lms_aver_mod_bartlettpsd3.m, 463 , 2018-03-23
Adaptive Filtering Fundamentals of Least Mean Squares with MATLAB\chapter4\lms_correlogram.m, 920 , 2018-03-23
Adaptive Filtering Fundamentals of Least Mean Squares with MATLAB\chapter4\lms_exp_pdf.m, 305 , 2018-03-23
Adaptive Filtering Fundamentals of Least Mean Squares with MATLAB\chapter4\lms_lognormal_pdf.m, 292 , 2018-03-23
Adaptive Filtering Fundamentals of Least Mean Squares with MATLAB\chapter4\lms_mean_autoc_ensemble.m, 413 , 2018-03-23
Adaptive Filtering Fundamentals of Least Mean Squares with MATLAB\chapter4\lms_monte_carlo_chi_squared_pdf.m, 256 , 2018-03-23
Adaptive Filtering Fundamentals of Least Mean Squares with MATLAB\chapter4\lms_monte_carlo_normal_pdf.m, 271 , 2018-03-23
Adaptive Filtering Fundamentals of Least Mean Squares with MATLAB\chapter4\lms_normalized_normal_pdf.m, 155 , 2018-03-23
Adaptive Filtering Fundamentals of Least Mean Squares with MATLAB\chapter4\lms_sample_biased_autoc.m, 437 , 2018-03-23
Adaptive Filtering Fundamentals of Least Mean Squares with MATLAB\chapter4\lms_sample_unbiased_autoc.m, 459 , 2018-03-23
Adaptive Filtering Fundamentals of Least Mean Squares with MATLAB\chapter4\normal_hist.m, 426 , 2018-03-23
Adaptive Filtering Fundamentals of Least Mean Squares with MATLAB\chapter4\prob4_1_3.m, 421 , 2018-03-23
Adaptive Filtering Fundamentals of Least Mean Squares with MATLAB\chapter4\prob4_2_3.m, 579 , 2018-03-23
Adaptive Filtering Fundamentals of Least Mean Squares with MATLAB\chapter4\program_using_window_functions.m, 284 , 2018-03-23
Adaptive Filtering Fundamentals of Least Mean Squares with MATLAB\chapter5, 0 , 2018-03-23
Adaptive Filtering Fundamentals of Least Mean Squares with MATLAB\chapter5\ex5_4_1.m, 1110 , 2018-03-23
Adaptive Filtering Fundamentals of Least Mean Squares with MATLAB\chapter5\ex5_5_1.m, 693 , 2018-03-23
Adaptive Filtering Fundamentals of Least Mean Squares with MATLAB\chapter5\example_5_2_1.m, 237 , 2018-03-23
Adaptive Filtering Fundamentals of Least Mean Squares with MATLAB\chapter5\example_5_3_1.m, 232 , 2018-03-23
Adaptive Filtering Fundamentals of Least Mean Squares with MATLAB\chapter5\example_5_5_6.m, 291 , 2018-03-23
Adaptive Filtering Fundamentals of Least Mean Squares with MATLAB\chapter5\lms_data_matrix_covar_meth.m, 317 , 2018-03-23
Adaptive Filtering Fundamentals of Least Mean Squares with MATLAB\chapter5\lms_no_window_least_square_fir.m, 375 , 2018-03-23
Adaptive Filtering Fundamentals of Least Mean Squares with MATLAB\chapter5\lms_wiener_fir_filter.m, 818 , 2018-03-23
Adaptive Filtering Fundamentals of Least Mean Squares with MATLAB\chapter5\lms_wiener_noise_canceling.m, 896 , 2018-03-23
Adaptive Filtering Fundamentals of Least Mean Squares with MATLAB\chapter6, 0 , 2018-03-23
Adaptive Filtering Fundamentals of Least Mean Squares with MATLAB\chapter6\example_6_2_0.m, 246 , 2018-03-23
Adaptive Filtering Fundamentals of Least Mean Squares with MATLAB\chapter6\example_6_6_1.m, 214 , 2018-03-23
Adaptive Filtering Fundamentals of Least Mean Squares with MATLAB\chapter6\pro6_2_4.m, 320 , 2018-03-23
Adaptive Filtering Fundamentals of Least Mean Squares with MATLAB\chapter7, 0 , 2018-03-23
Adaptive Filtering Fundamentals of Least Mean Squares with MATLAB\chapter7\ex7_2_3.m, 359 , 2018-03-23
Adaptive Filtering Fundamentals of Least Mean Squares with MATLAB\chapter7\pro7_1_3.m, 111 , 2018-03-23
Adaptive Filtering Fundamentals of Least Mean Squares with MATLAB\chapter8, 0 , 2018-03-23
Adaptive Filtering Fundamentals of Least Mean Squares with MATLAB\chapter8\ex8_3_1.m, 246 , 2018-03-23
Adaptive Filtering Fundamentals of Least Mean Squares with MATLAB\chapter8\ex8_3_2.m, 381 , 2018-03-23
Adaptive Filtering Fundamentals of Least Mean Squares with MATLAB\chapter8\ex8_3_7.m, 255 , 2018-03-23
Adaptive Filtering Fundamentals of Least Mean Squares with MATLAB\chapter8\function8_13.m, 129 , 2018-03-23
Adaptive Filtering Fundamentals of Least Mean Squares with MATLAB\chapter8\lms1.m, 818 , 2018-03-23
Adaptive Filtering Fundamentals of Least Mean Squares with MATLAB\chapter8\lms_complex_norm_lms.m, 783 , 2018-03-23
Adaptive Filtering Fundamentals of Least Mean Squares with MATLAB\chapter8\lms_ex8_3_6.m, 419 , 2018-03-23
Adaptive Filtering Fundamentals of Least Mean Squares with MATLAB\chapter8\lms_ex8_3_8.m, 620 , 2018-03-23
Adaptive Filtering Fundamentals of Least Mean Squares with MATLAB\chapter8\lms_ex8_4_1.m, 451 , 2018-03-23
Adaptive Filtering Fundamentals of Least Mean Squares with MATLAB\chapter8\lms_one_step_predictor.m, 844 , 2018-03-23
Adaptive Filtering Fundamentals of Least Mean Squares with MATLAB\chapter8\lms_power_spectra_av1.m, 1268 , 2018-03-23
Adaptive Filtering Fundamentals of Least Mean Squares with MATLAB\chapter9, 0 , 2018-03-24
Adaptive Filtering Fundamentals of Least Mean Squares with MATLAB\chapter9\ex8_3_1.m, 246 , 2018-03-23
Adaptive Filtering Fundamentals of Least Mean Squares with MATLAB\chapter9\ex8_3_2.m, 381 , 2018-03-23
Adaptive Filtering Fundamentals of Least Mean Squares with MATLAB\chapter9\ex8_3_7.m, 255 , 2018-03-23
Adaptive Filtering Fundamentals of Least Mean Squares with MATLAB\chapter9\ex9_16_1.m, 396 , 2018-03-23
Adaptive Filtering Fundamentals of Least Mean Squares with MATLAB\chapter9\ex9_1_1.m, 716 , 2018-03-23
Adaptive Filtering Fundamentals of Least Mean Squares with MATLAB\chapter9\ex9_1_2.m, 428 , 2018-03-23
Adaptive Filtering Fundamentals of Least Mean Squares with MATLAB\chapter9\ex9_2_1.m, 394 , 2018-03-23
Adaptive Filtering Fundamentals of Least Mean Squares with MATLAB\chapter9\ex9_2_2.m, 477 , 2018-03-23
Adaptive Filtering Fundamentals of Least Mean Squares with MATLAB\chapter9\ex9_3_1.m, 589 , 2018-03-23
Adaptive Filtering Fundamentals of Least Mean Squares with MATLAB\chapter9\ex9_5_1.m, 567 , 2018-03-23
Adaptive Filtering Fundamentals of Least Mean Squares with MATLAB\chapter9\ex9_7_1.m, 675 , 2018-03-23
Adaptive Filtering Fundamentals of Least Mean Squares with MATLAB\chapter9\Figure9_24.m, 2 , 2018-03-23
Adaptive Filtering Fundamentals of Least Mean Squares with MATLAB\chapter9\Figure9_25.m, 200 , 2018-03-23
Adaptive Filtering Fundamentals of Least Mean Squares with MATLAB\chapter9\function8_13.m, 129 , 2018-03-23
Adaptive Filtering Fundamentals of Least Mean Squares with MATLAB\chapter9\lms1.m, 818 , 2018-03-23
Adaptive Filtering Fundamentals of Least Mean Squares with MATLAB\chapter9\lms_abrupt_change_normalized_lms.m, 800 , 2018-03-23
Adaptive Filtering Fundamentals of Least Mean Squares with MATLAB\chapter9\lms_abrupt_change_normalized_lms_w.m, 593 , 2018-03-23
Adaptive Filtering Fundamentals of Least Mean Squares with MATLAB\chapter9\lms_affine_lms.m, 713 , 2018-03-23
Adaptive Filtering Fundamentals of Least Mean Squares with MATLAB\chapter9\lms_average_normalized_lms.m, 634 , 2018-03-23
Adaptive Filtering Fundamentals of Least Mean Squares with MATLAB\chapter9\lms_average_unnormalized_lms.m, 434 , 2018-03-23
Adaptive Filtering Fundamentals of Least Mean Squares with MATLAB\chapter9\lms_block_lms.m, 890 , 2018-03-23
Adaptive Filtering Fundamentals of Least Mean Squares with MATLAB\chapter9\lms_complex_affine_lms.m, 591 , 2018-03-23
Adaptive Filtering Fundamentals of Least Mean Squares with MATLAB\chapter9\lms_complex_lms.m, 774 , 2018-03-23
Adaptive Filtering Fundamentals of Least Mean Squares with MATLAB\chapter9\lms_complex_normalized_lms.m, 806 , 2018-03-23
Adaptive Filtering Fundamentals of Least Mean Squares with MATLAB\chapter9\lms_complex_norm_lms.m, 783 , 2018-03-23
Adaptive Filtering Fundamentals of Least Mean Squares with MATLAB\chapter9\lms_denoising_Jav1.m, 597 , 2018-03-23

下载说明:请别用迅雷下载,失败请重下,重下不扣分!

发表评论

0 个回复

  • fcn_SR_KF
    This file compares three different versions of the Kalman filter. The Kalman filter is used for recursive parameter estimation. The Kalman filter can handle noisy measurements. The first implemented filter (fcn_KF) is the Kalman filter with standard update of the covariance matrix P. The covariance matrix reflects the uncertainties of the predictions. To improve the numerical stability Potter developed a square root update (fcn_KF_SRP) of the covariance matrix P. Another version is the square root covariance update via triangularization (fcn_KF_SRT). This file generates a model. Then the three Kalman filters perform an estimation of the model parameter. At the end the results are compared. Sources: Simon, D. (2006): Optimal state estimation Kaminski, P. (1971): Discrete Square Root Filtering: A Survey of Current Techniques Golub, G. (1996): Matrix Computations
    2014-02-14 18:30:49下载
    积分:1
  • pam
    基于matlab的pam仿真 附带源代码 (pam (using matlab) 基于matlab的pam仿真)
    2009-03-30 21:49:33下载
    积分:1
  • window-digital-filter
    窗函数法数字滤波器设计,包括基本的六种窗函数,内有一份word实验报告,适合信号分析初学者学习(Window function digital filter design, including the six basic window function, which has a word test report, suitable for beginners to learn signal analysis)
    2013-07-14 12:13:28下载
    积分:1
  • SQP
    sqp算法,对于初学者将是不错的资源,详解matlab编程(sqp algorithm for beginners would be nice resource, Detailed matlab programming)
    2021-04-02 10:59:07下载
    积分:1
  • jianjiefa
    本案例是采用的经典谱估计中的间接法估计的ARMA模型谱估计(This case was a classic spectral estimation using the indirect method to estimate the ARMA model spectral estimation)
    2011-05-24 00:36:33下载
    积分:1
  • MBinPSO
    Modified binary PSO PSO with mutation tools of genetic method combined
    2014-11-17 08:22:20下载
    积分:1
  • Romberg
    龙贝格算法matlab程序设计,龙贝格算法matlab程序设计(romberg matlab)
    2011-12-29 15:47:16下载
    积分:1
  • boxcount
    用于图像的分形维数计算,应用boxcount方法,首先对图像进行二值化处理,然后通过搜索白色区域,进行分形计算。(used to the calculation of the fractal dimension,and using the boxcount method,to do the process,and find the white area,to calculation the fractal dimension)
    2016-07-07 15:34:56下载
    积分:1
  • pid_prog
    控制系统计算机辅助设计——Matlab语言与应用 第三章源码(Control system for computer-aided design source)
    2013-05-01 22:43:08下载
    积分:1
  • WTFDIBenchmarkModel6
    this file present FDI Benchmark for windturbine
    2021-04-07 14:39:01下载
    积分:1
  • 696518资源总数
  • 105717会员总数
  • 10今日下载