Title :
Quantization noise analysis of sign/logarithm data encoders when excited by speech or sinusoidal inputs
Author :
Kwa, Seh Wah ; Engel, George L. ; Morley, Robert E.
Author_Institution :
Dept. of Electr. Eng., Washington Univ., St. Louis, MO, USA
fDate :
12/1/2000 12:00:00 AM
Abstract :
In many digital signal processing applications, the use of sign/logarithm data encoding is valuable. Simple formulas that predict usable dynamic range for systems employing sign/logarithm arithmetic when excited either by speech or sinusoidal inputs are derived.
Keywords :
digital arithmetic; noise; quantisation (signal); signal representation; speech coding; DSP applications; digital signal processing applications; logarithmic data representations; quantization noise analysis; sign/logarithm arithmetic; sign/logarithm data encoders; sinusoidal input; speech input; stochastic model; usable dynamic range; Degradation; Digital arithmetic; Digital filters; Dynamic range; Indium phosphide; Quantization; Speech analysis; Speech enhancement; Speech processing; Stochastic processes;
Journal_Title :
Signal Processing, IEEE Transactions on
