Title :
Analysis of Continuous-Time Digital Signal Processors
Author :
Schell, Bob ; Tsividis, Yannis
Author_Institution :
Dept. of Electr. Eng., Columbia Univ., New York, NY
Abstract :
Continuous-time digital signal processors avoid sampling, and thus do not suffer from aliasing of the signal, or of aliasing down of out-of-band distortion components, arising from quantization, into the band of interest. The reduction of in-band distortion is derived analytically for certain symmetric inputs and is discussed for input processes with a Gaussian amplitude probability density function. It is demonstrated that processing in continuous time yields a 9 dB improvement of in-band signal-to-distortion ratio per added bit of quantizer resolution for both input classes examined, compared to a 6 dB per bit improvement in sampled systems.
Keywords :
Gaussian distribution; continuous time filters; digital filters; digital signal processing chips; distortion; spectral analysis; Gaussian amplitude probability density function; continuous-time digital signal processors; in-band distortion reduction; signal-to-distortion ratio; Digital signal processing; Digital signal processing chips; Digital signal processors; Distortion; Finite impulse response filter; Probability density function; Quantization; Signal analysis; Signal processing; Signal sampling;
Conference_Titel :
Circuits and Systems, 2007. ISCAS 2007. IEEE International Symposium on
Conference_Location :
New Orleans, LA
Print_ISBN :
1-4244-0920-9
Electronic_ISBN :
1-4244-0921-7
DOI :
10.1109/ISCAS.2007.378726