A study of digital filter sharpening - article to be written

I need the below paper about digital filter sharpening to be written from scratch. In must have about 30 pages and the Oxford style.

STUDY OF DIGITAL FILTER SHARPENING

THIS PROJECT AIM TO SHOW DIGITAL FILTER IS A CLEVER WAY OF

REPETITIVELY EMPLOYING A SMALL PROTOTYPE FILTER TO GENERATE A

LARGER BETTER QUALITY FILTER. THE ORIGINAL METHOD IS RESTRICTED

TO LINEAR PHASE FIR PROTOTYPES BUT AN EXTENSION BY CLASSEN

&MECKLENBRAUKER ( CM) AND ANOTHER BY HARRIS(``HARRIS'') EMBRACE

IIR PROTOTYPES. THIS PROJECT WILL AIM AT QUANTIFYING THE QUALITY

IMPROVEMENTS FOR SEVERAL IIR( AND ALSO FIR) PROTOTYPES

ACHIEVABLE AND ALSO AT ASSESING THE RELATIVE MERITS OF THE

(``CM'') AND (``HARRIS'') METHODS.

THIS PROJECT AIM TO

1] REVIEW AND UNDERSTAND THE BACKGROUND LITERATURE AND ESTABLISH

SUITABLE MATLAB AND SIMULINK TEST BEDS THAT WILL SOLVE THIS

PROJECT.

2] EXERCISE TESTBEDS ON SMALL SPECIMEN ELLIPTIC AND CHEBYCHEV

LOWPASS AND BANDPASS FILTERS AND IMPORT SHARPENED RESULTS INTO

SKETCH - A - FILT IN MATLAB TO SECURE AND DOCUMENT QUALITY

MEASUREMENT. THIS DATA SHOULD BE RECORDED AND COMPARED AND

DISCUSSED IN YOUR RESULT.

3} ESTABLISH COMPARABLE TEST DIMENSIONALITIES FOR (``CM'') AND

(``HARRIS'') AND QUANTIFY THE STRENGTHS AND LIMITATIONS OF EACH

METHODS.. THIS WILL INCLUDE COMPARING QUALITY, ERRORS AND COST

OF EACH METHODS. THIS WILL ALSO INVOLVE COMPARING THE DATA AND

STRUCTURE OF EACH MODELS.

4) YOU WILL ALSO HAVE TO CARRY OUT COMPARABLE QUALITY

MEASUREMENTS FOR LINEAR PHASE FIR FILTERS AND ATTEMPT TO

CONFIRM EARLIER PREDICTIONS( FOR EXAMPLE SHOWING ACHIEVEABLE

PEAK RIPPLE SIZES) IN THE LITERATURE BY THE TWO AUTHORS.

5) COMPARE RESULTS ACHIEVABLE WITH MULTIPLE SHARPENING PASSES

{WITH SIMPLE UNITY TANGENCY FACTORS OF 3 OR MORE)

THE RESOURCES TO BE USED FOR THIS PROJECT IS MATHLAB, SIMULINK ,

SKETCH-A-FILT AND DSP SPEEDSTER.

THE DELIVERABLES.

THIS WILL INVOLVE PRODUCING A MODEL OF THE SOLUTION WHICH WILL

INVOLVE A STATEMENT ON THE INTRODUCTION, BACKGROUND ,

APPLICATION, LIMITATION AND FUTURE DEVELOPMENT.

THIS WILL INCLUDE A MODEL OF THE METHOD OF WHICH THE PROBLEM

WILL BE SOLVED. ALSO REFERENCES COULD BE MADE USING IEEE XPLORE

FOR MATERIALS.

MODELS OF SOLUTION AND MATLAB CODES COMMENTED . PLEASE NOTE THAT

ALL PARAMETERS HAS TO BE DEFINED AND EXPLAINED.

A FULL REPORTDETAILING THE REPORT THAT SHOWS TABLES OF DATA

INFERENCES FROM THIS DATA AND COMES UP WITH CRITICAL ANLYSIS OF

THE DATA AND MILESTONE THAT HAS BEEN ACHIEVED. ALSO DETAILS OF

PROBLEM SHOULD BE INCLUDED.

ALSO MENTION SHOULD BE MADE OF APPLICATION OF THE RESULT FROM

THIS PROJECT.

REFERENCES SHOULD ALSO BE MADE TOALL DATA SOURCE IN THIS REPORT.

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