文件名称:da2
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FIR_A=[1 1 2]
FIR_B=[2 1 1]
function [w_out mse_out ref_out] = LMS(FIR_A,FIR_B,1,wave=square)
[w mse ref res iter] = LMS(FIR_A,FIR_B,L,wave)
LMS filter to solve the system identification problem represented below:
---------- ----------
------- FILTER A -----out_A----- FILTER X ---out--
| ---------- ---------- |
in | |
----| |+
| ---------- - -----
------- FILTER B -----out_B-------------------- SUM ---error---
---------- -----
FILTER_X is unknown and to be derived. This problem is called "filter matching"
and is encountered when one needs to augment a certain filter (A)
in order to match the behavior of a reference filter (B).-FIR_A=[1 1 2]
FIR_B=[2 1 1]
function [w_out mse_out ref_out] = LMS(FIR_A,FIR_B,1,wave=square)
[w mse ref res iter] = LMS(FIR_A,FIR_B,L,wave)
LMS filter to solve the system identification problem represented below:
---------- ----------
------- FILTER A -----out_A----- FILTER X ---out--
| ---------- ---------- |
in | |
----| |+
| ---------- - -----
------- FILTER B -----out_B-------------------- SUM ---error---
---------- -----
FILTER_X is unknown and to be derived. This problem is called "filter matching"
and is encountered when one needs to augment a certain filter (A)
in order to match the behavior of a reference filter (B).
FIR_B=[2 1 1]
function [w_out mse_out ref_out] = LMS(FIR_A,FIR_B,1,wave=square)
[w mse ref res iter] = LMS(FIR_A,FIR_B,L,wave)
LMS filter to solve the system identification problem represented below:
---------- ----------
------- FILTER A -----out_A----- FILTER X ---out--
| ---------- ---------- |
in | |
----| |+
| ---------- - -----
------- FILTER B -----out_B-------------------- SUM ---error---
---------- -----
FILTER_X is unknown and to be derived. This problem is called "filter matching"
and is encountered when one needs to augment a certain filter (A)
in order to match the behavior of a reference filter (B).-FIR_A=[1 1 2]
FIR_B=[2 1 1]
function [w_out mse_out ref_out] = LMS(FIR_A,FIR_B,1,wave=square)
[w mse ref res iter] = LMS(FIR_A,FIR_B,L,wave)
LMS filter to solve the system identification problem represented below:
---------- ----------
------- FILTER A -----out_A----- FILTER X ---out--
| ---------- ---------- |
in | |
----| |+
| ---------- - -----
------- FILTER B -----out_B-------------------- SUM ---error---
---------- -----
FILTER_X is unknown and to be derived. This problem is called "filter matching"
and is encountered when one needs to augment a certain filter (A)
in order to match the behavior of a reference filter (B).
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da2.m