10 Applications and Examples

This chapter documents the applications and examples scripts supplied with the current distribution of the adaptive signal processing toolbox. Table 10.1 summarizes those scripts and gives a short description and a pointer to the reference page of each script. The application scripts documented in this chapter can be found in the apps directory. Each script is documented in a separate section which includes the following information related to the application:

• Purpose: Short description of the application implemented in this file.
• Syntax: Shows how to run the application.
• Description: Detailed description of the application.
• Code: A listing of the application code.
• Results: Presents the output generated by running the application.
• Audio Files: Lists the audio signals used in the application if any.
• See Also: Lists other related components of the toolbox.
• Reference: Lists literature for more information on the application.

Table 10.1: Adaptive filters applications.

Script Name	Reference	Short Description
ale_ csoiir2	10.1	Adaptive Line Enhancer using CSOIIR2.
ale_ soiir1	10.2	Adaptive Line Enhancer using SOIIR1.
ale_ soiir2	10.3	Adaptive Line Enhancer using SOIIR2.
anvc_ adjlms	10.4	Active noise and vibration control using ADJLMS.
anvc_ fdadjlms	10.5	Active noise and vibration control using FDADJLMS.
anvc_ fdfxlms	10.6	Active noise and vibration control using FDFXLMS.
anvc_ fxlms	10.7	Active noise and vibration control using FXLMS.
anvc_ mcadjlms	10.8	Active noise and vibration control using MCADJLMS.
anvc_ mcfdadjlms	10.9	Active noise and vibration control using MCFDADJLMS.
anvc_ mcfdfxlms	10.10	Active noise and vibration control using MCFDFXLMS.
anvc_ mcfxlms	10.11	Active noise and vibration control using MCFXLMS.
beambb_ lclms	10.12	Beam former at base-band frequency using LCLMS.
beamrf_ lms	10.13	Beam former at RF frequency using LMS.
echo_ bfdaf	10.14	Echo canceler using BFDAF.
echo_ leakynlms	10.15	Echo canceler using LEAKYNLMS.
echo_ nlms	10.16	Echo canceler using NLMS.
echo_ pbfdaf	10.17	Echo canceler using PBFDAF.
echo_ rcpbfdaf	10.18	Echo canceler using RCPBFDAF.
equalizer_ nlms	10.19	Inverse modeling using NLMS.
equalizer_ rls	10.20	Inverse modeling using RLS.
model_ arlmsnewt	10.21	Modeling using LMS-NEWTON.
model_ eqerr	10.22	IIR modeling using EQERR.
model_ lmslattice	10.23	Modeling using LMSLATTICE.
model_ mvsslms	10.24	FIR modeling using MVSSLMS.
model_ outerr	10.25	IIR modeling using OUTERR.
model_ rlslattice	10.26	Modeling using RLSLATTICE.
model_ sharf	10.27	IIR modeling using SHARF.
model_ tdlms	10.28	FIR modeling using TDLMS.
model_ vsslms	10.29	FIR modeling using VSSLMS.
predict_ lbpef	10.30	Prediction using LBPEF.
predict_ lfpef	10.31	Prediction using LFPEF.
predict_ rlslbpef	10.32	Prediction using RLSLBPEF.
predict_ rlslfpef	10.33	Prediction using RLSLFPEF.