Arbitrary amplitude and linear phase approximations for non-prototype ladder and lattice wave digital filters

1996 ◽  
Vol 24 (6) ◽  
pp. 605-620 ◽  
Author(s):  
Mohammed Abo-Zahhad ◽  
Mohamed Yaseen ◽  
Tamás Henk
Keyword(s):  
Digital Filters ◽  
Linear Phase ◽  
Lattice Wave ◽  
Arbitrary Amplitude ◽  
Wave Digital Filters

Design and FPGA implementation of 11th order Efficient IIR Wavelet Filter Banks with Approximate Linear-phase

2018 ◽  
Vol 7 (4) ◽  
pp. 207
Author(s):  
Rasha W. Hamad
Keyword(s):  
Filter Bank ◽  
Digital Filters ◽  
Filter Banks ◽  
Pass Band ◽  
Wavelet Filter ◽  
Linear Phase ◽  
Wavelet Filter Bank ◽  
Lattice Wave ◽  
Wave Digital Filters ◽  
Matlab Programming

In this paper. Bireciprocal Lattice Wave Digital Filters (BLWDFs) are utilized in an  approximate linear-phase in pass-band design of  order IIR wavelet filter banks (FBs). These filter banks are efficiently designed by replacement one of  branches for (BLWDFs)  by only a unit delay. The coefficients of the designed filter are achieved by simulating the IIR response suggested in [1]. The design is  first simulated using Matlab programming in order to investigate the resulting wavelet filter properties and to find the suitable wordlength for the BLWDFs coefficients. FPGA implemtation of the proposed IIR wavelet filter bank is also achived for three levels with less complexity and high operating frequency.

Design and FPGA implementation of 11th order Efficient IIR Wavelet Filter Banks with Approximate Linear-phase

2018 ◽  
Vol 7 (4) ◽  
pp. 207
Author(s):  
Rasha W. Hamad
Keyword(s):  
Filter Bank ◽  
Digital Filters ◽  
Filter Banks ◽  
Pass Band ◽  
Wavelet Filter ◽  
Linear Phase ◽  
Wavelet Filter Bank ◽  
Lattice Wave ◽  
Wave Digital Filters ◽  
Matlab Programming

In this paper. Bireciprocal Lattice Wave Digital Filters (BLWDFs) are utilized in an  approximate linear-phase in pass-band design of  order IIR wavelet filter banks (FBs). These filter banks are efficiently designed by replacement one of  branches for (BLWDFs)  by only a unit delay. The coefficients of the designed filter are achieved by simulating the IIR response suggested in [1]. The design is  first simulated using Matlab programming in order to investigate the resulting wavelet filter properties and to find the suitable wordlength for the BLWDFs coefficients. FPGA implemtation of the proposed IIR wavelet filter bank is also achived for three levels with less complexity and high operating frequency.

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