DocumentCode :
2825563
Title :
A CAD system for the design of digital filter algorithms for the reduced-instruction set digital signal processor RISP
Author :
Kaiser, Ulrich
Author_Institution :
Texas Instrum. Deutschland GmbH, Freising, Germany
fYear :
1991
fDate :
11-14 Jun 1991
Firstpage :
45
Abstract :
A set of dedicated CAD (computer-aided-design) programs is described. The programs allow the top-down design from filter specification to a lattice wave digital filter (LWDF) implementation on the DSP (digital signal processing) architecture RISP. The CAD tools support the design of low-pass, high-pass, elliptical, Butterworth, or bireciprocal LWDFs, optimization of coefficients, transformation of the LWDF signal flow diagram into an assembler program, translation into a machine program for RISP, and simulation in order to emphasize analysis of output sequences. Eight different filter examples have been designed and analyzed with this CAD system. These examples successfully demonstrate the correctness of the RlSP architecture and the efficiency of the specialized CAD system for the design of IIR (infinite impulse response) filters for RISP
Keywords :
circuit CAD; digital signal processing chips; high-pass filters; low-pass filters; reduced instruction set computing; wave digital filters; Butterworth filter; CAD system; DSP architecture; IIR filters; RISP; assembler program; bireciprocal filter; coefficient optimization; digital filter algorithms; elliptical filter; high pass filer; lattice wave digital filter; low pass filter; machine program; reduced-instruction set digital signal processor; signal flow diagram; top-down design; Algorithm design and analysis; Assembly; Design automation; Design optimization; Digital filters; Digital signal processing; IIR filters; Lattices; Signal design; Signal processing algorithms;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Circuits and Systems, 1991., IEEE International Sympoisum on
Print_ISBN :
0-7803-0050-5
Type :
conf
DOI :
10.1109/ISCAS.1991.176269
Filename :
176269
Link To Document :
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