DocumentCode :
3032108
Title :
Digital lowpass filtering using the discrete Hilbert transform
Author :
Roy, Sanjay Dhar ; Agrwal, Anurag
Author_Institution :
Indian Institute of Technology, New Delhi, India
Volume :
3
fYear :
1978
fDate :
28581
Firstpage :
516
Lastpage :
519
Abstract :
It has been shown in the recent literature that the use of discrete Hilbert transform in digital filtering reduces the operation of filtering to that of a matrix multiplication, In this paper, we present an alternative matrix formulation for a digital low pass filter, which requires less storage and reduces the number of multiplications by a factor of two. From a detailed analysis of the errors due to quantization and roundoff, it is shown that the new formulation has superior mean squared signal to error ratio.
Keywords :
Digital filters; Discrete transforms; Error analysis; Filtering; Low pass filters; Maximum likelihood detection; Nonlinear filters; Quantization; Signal analysis; Signal processing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech, and Signal Processing, IEEE International Conference on ICASSP '78.
Type :
conf
DOI :
10.1109/ICASSP.1978.1170474
Filename :
1170474
Link To Document :
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