AbstractWe discuss the trade-off between sampling and quantization in signal processing for the purpose of minimizing the error of the reconstructed signal subject to the constraint that the digitized signal fits in a given amount of memory. For signals with different regularities, we estimate the intrinsic errors from finite sampling and quantization, and determine the sampling and quantization resolutions
Quantization is an essential step in digitizing signals, and, therefore, an indispensable component ...
The effect of sampling and quantization on frequency estimation for a single sinusoid is investigate...
We consider the quantization of a special class of non bandlimited signals, namely the class of disc...
AbstractWe discuss the trade-off between sampling and quantization in signal processing for the purp...
AbstractWe prove that signals with bounded (r + 1)st derivative can be quantized using a uniform c-l...
This paper presents novel results on the joint problem of sampling and quantization of non bandlimit...
In this paper, we analyse the effect of the quantization of signals used for system identification a...
© 2003 EUCA. In this paper, we analyse the effect of the quantization of signals used for system ide...
Quantization is an essential step in digitizing signals, and, therefore, an indispensable component ...
Oversampled analog-to-digital conversion technique which permits high conversion resolution using co...
Quantization is an essential step in digitizing signals, and, therefore, an indispensable component ...
Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer...
Computer quantization is important to consider in digital signal processing because it limits the ac...
Abstract:- Most signal processing systems are based on discrete-time signals although the origin of ...
In this paper we analyze the impact of thresholding and quantization on the approximation of bandlim...
Quantization is an essential step in digitizing signals, and, therefore, an indispensable component ...
The effect of sampling and quantization on frequency estimation for a single sinusoid is investigate...
We consider the quantization of a special class of non bandlimited signals, namely the class of disc...
AbstractWe discuss the trade-off between sampling and quantization in signal processing for the purp...
AbstractWe prove that signals with bounded (r + 1)st derivative can be quantized using a uniform c-l...
This paper presents novel results on the joint problem of sampling and quantization of non bandlimit...
In this paper, we analyse the effect of the quantization of signals used for system identification a...
© 2003 EUCA. In this paper, we analyse the effect of the quantization of signals used for system ide...
Quantization is an essential step in digitizing signals, and, therefore, an indispensable component ...
Oversampled analog-to-digital conversion technique which permits high conversion resolution using co...
Quantization is an essential step in digitizing signals, and, therefore, an indispensable component ...
Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer...
Computer quantization is important to consider in digital signal processing because it limits the ac...
Abstract:- Most signal processing systems are based on discrete-time signals although the origin of ...
In this paper we analyze the impact of thresholding and quantization on the approximation of bandlim...
Quantization is an essential step in digitizing signals, and, therefore, an indispensable component ...
The effect of sampling and quantization on frequency estimation for a single sinusoid is investigate...
We consider the quantization of a special class of non bandlimited signals, namely the class of disc...