Recursive Halfband-Filters

Summary The paper describes the properties and the design of recursive halfband-filters.The two possibilities of being complementary are introduced. The lowpass with the transfer function H Lp ( z )and the corresponding highpass, described by H Hp ( z ) = H Lp (- z )can either be strictly complementary or power complementary. According to the respective symmetry, the impulse responses, transfer functions and frequency responses possess certain characteristic properties, which are described in section 2. It turns out that these resulting symmetries of the frequency response reduce the number of the choosable design parameters. We can only prescribe the cutoff frequency and the tolerated deviation either for the passband or the stopband. In the third section we treat the design of halfband-filters with approximately linear phase. By coupling an appropriately designed allpass of even degree n A with a delay of order m = n A ±1 we obtain the desired solution by solving a corresponding approximation problem for the phase of the allpass. The resulting lowpass and highpass are strictly as well as power complementary!The kind of approximation will be done in the sense of maximal flatness, where a closed form solution exists [8], or in the sense of Chebychev, where the solution is obtained iteratively [13]. The design of systems with minimum phase is presented in section 4. The resulting lowpass and highpass are power complementary. Closed form solutions yield Butterworthand Cauer filters, if a maximal flat or a Chebychev approximation is desired. In all cases a fixed relation exists between the passband frequency Ω P and the tolerated deviation δ P in the passband when the degree n has been chosen.

[1]  W. Wegener,et al.  Wave digital directional filters with reduced number of multipliers and adders , 1979 .

[2]  P. Vaidyanathan Multirate Systems And Filter Banks , 1992 .

[3]  A. Fettweis A simple design of maximally flat delay digital filters , 1972 .

[4]  Rashid Ansari,et al.  Efficient sampling rate alteration using recursive (IIR) digital filters , 1983 .

[5]  L. Rabiner Approximation methods for electronic filter design , 1976 .

[6]  A. N. Willson,et al.  Insights into digital filters made as the sum of two allpass functions , 1995 .

[7]  M. Gerken,et al.  On the design of recursive digital filters consisting of a parallel connection of allpass sections and delay elements , 1995 .

[8]  Jacques Lucien Daguet,et al.  Interpolation, extrapolation, and reduction of computation speed in digital filters , 1974 .

[9]  Rashid Ansari,et al.  Elliptic filter design for a class of generalized halfband filters , 1985, IEEE Trans. Acoust. Speech Signal Process..

[10]  Sanjit K. Mitra,et al.  Digital Signal Processing: A Computer-Based Approach , 1997 .

[11]  I. Daubechies Orthonormal bases of compactly supported wavelets , 1988 .

[12]  Rashid Ansari,et al.  A class of low-noise computationally efficient recursive digital filters with applications to sampling rate alterations , 1985, IEEE Trans. Acoust. Speech Signal Process..

[13]  R. Unbehauen,et al.  Degree, ripple, and transition width of elliptic filters , 1989 .

[14]  A. Fettweis,et al.  Wave digital lattice filters , 1974 .

[15]  A. Fettweis Wave digital filters: Theory and practice , 1986, Proceedings of the IEEE.

[16]  Rolf Unbehauen,et al.  Analytical solutions for design of IIR equiripple filters , 1989, IEEE Trans. Acoust. Speech Signal Process..

[17]  P. Steffen,et al.  Halfband filters and Hilbert transformers , 1998 .