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A Weighted Least Squares Al gorithm for Quasi-Equirippl e FIR and IIR Digital Filte r Design Advisor : 高高高 Student : 高高高

A Weighted Least Squares Algorithm for Quasi-Equiripple FIR and IIR Digital Filter Design Advisor : 高永安 Student : 陳志煒

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Page 1: A Weighted Least Squares Algorithm for Quasi-Equiripple FIR and IIR Digital Filter Design Advisor : 高永安 Student : 陳志煒

A Weighted Least Squares Algorithm for Quasi-Equiripple FIR and IIR Digit

al Filter Design

Advisor : 高永安Student : 陳志煒

Page 2: A Weighted Least Squares Algorithm for Quasi-Equiripple FIR and IIR Digital Filter Design Advisor : 高永安 Student : 陳志煒

outline

• Introduction• The Weighted Least Squares Method• The Least Squares Weighting Function• The New Algorithm• Termination of Algorithm• Conclusion

Page 3: A Weighted Least Squares Algorithm for Quasi-Equiripple FIR and IIR Digital Filter Design Advisor : 高永安 Student : 陳志煒

Introduction

• In this paper, a novel iterative algorithm for deriving the least squares frequency response weighting function which will produce a quasi-equiripple design is presented

• The algorithm converges very rapidly• Form experience, about 1dB away form the mini

max optimum solution in two iterations and converges to within 0.1dB in six iterations

Page 4: A Weighted Least Squares Algorithm for Quasi-Equiripple FIR and IIR Digital Filter Design Advisor : 高永安 Student : 陳志煒

The Weighted Least Squares Method

• appropriate trigonometrical function

• impulse response of the filter

• desired frequency response

• actual frequency response

Page 5: A Weighted Least Squares Algorithm for Quasi-Equiripple FIR and IIR Digital Filter Design Advisor : 高永安 Student : 陳志煒

The Weighted Least Squares Method

Page 6: A Weighted Least Squares Algorithm for Quasi-Equiripple FIR and IIR Digital Filter Design Advisor : 高永安 Student : 陳志煒

The Weighted Least Squares Method

• Minimized

• Optimum solution

Page 7: A Weighted Least Squares Algorithm for Quasi-Equiripple FIR and IIR Digital Filter Design Advisor : 高永安 Student : 陳志煒

The Least Squares Weighting Function

• The weighting function used in the (k+1) iteration

• Lawson’s Algorithm

Page 8: A Weighted Least Squares Algorithm for Quasi-Equiripple FIR and IIR Digital Filter Design Advisor : 高永安 Student : 陳志煒

The New Algorithm

• Define the i th extremal point of the k th iteration as

• The envelope function

Page 9: A Weighted Least Squares Algorithm for Quasi-Equiripple FIR and IIR Digital Filter Design Advisor : 高永安 Student : 陳志煒

The New Algorithm

• Minimax weighting function

• The constant affect convergent speed

• = average of

Page 10: A Weighted Least Squares Algorithm for Quasi-Equiripple FIR and IIR Digital Filter Design Advisor : 高永安 Student : 陳志煒

The Constant

• The algorithm is said to have converged if

• Peak weighted ripple of optimum minimax design

• Peak weighted ripple of the weighted least squares design

• There is no know analytical method for obtaining that will make the algorithm converge at the maximum speed

Page 11: A Weighted Least Squares Algorithm for Quasi-Equiripple FIR and IIR Digital Filter Design Advisor : 高永安 Student : 陳志煒

The Constant

• Averaging the results of 200 examples

Page 12: A Weighted Least Squares Algorithm for Quasi-Equiripple FIR and IIR Digital Filter Design Advisor : 高永安 Student : 陳志煒

Initial

• May be set equal to unity for all n

• Using the method of rectangular windowing of the Fourier series of

Page 13: A Weighted Least Squares Algorithm for Quasi-Equiripple FIR and IIR Digital Filter Design Advisor : 高永安 Student : 陳志煒

Termination of Algorithm

• It can be terminated after a prespecified number of iterations have been completed

• Another criterion for termination of the algorithm is to check for quasi-equiripple condition

• : average weighted ripple magnitude

Page 14: A Weighted Least Squares Algorithm for Quasi-Equiripple FIR and IIR Digital Filter Design Advisor : 高永安 Student : 陳志煒

Conclusion

• We have present a novel fast convergent weighted least squares algorithm for quasi-equiripple FIR and IIR fil

ter designs

• N=151• =1.5

Page 15: A Weighted Least Squares Algorithm for Quasi-Equiripple FIR and IIR Digital Filter Design Advisor : 高永安 Student : 陳志煒

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