scholarly journals Beamformer quantization error analysis and dynamic range considerations

1981 ◽  
Vol 70 (S1) ◽  
pp. S17-S17
Author(s):  
Ronald A. Mucci
Keyword(s):  
Error Analysis ◽  
Dynamic Range ◽  
Quantization Error

Image subband coding: a quantization error analysis

2003 ◽  
Author(s):  
J. Biemond ◽  
P.H. Westerink ◽  
D.E. Boekee
Keyword(s):  
Error Analysis ◽  
Quantization Error ◽  
Subband Coding

scholarly journals Generation of Phase-Only Fourier Hologram Based on Double Phase Method and Quantization Error Analysis

2020 ◽  
Vol 12 (5) ◽  
pp. 1-13 ◽  
Author(s):  
Yang Wu ◽  
Jun Wang ◽  
Chun Chen ◽  
Chan-Juan Liu ◽  
Feng-Ming Jin ◽  
...  
Keyword(s):  
Error Analysis ◽  
Quantization Error ◽  
Phase Method ◽  
Double Phase ◽  
Fourier Hologram

Scalar quantization error analysis for image subband coding using QMFs

1992 ◽  
Vol 40 (2) ◽  
pp. 421-428 ◽  
Author(s):  
P.H. Westerink ◽  
J. Biemond ◽  
D.E. Boekee
Keyword(s):  
Error Analysis ◽  
Quantization Error ◽  
Subband Coding ◽  
Scalar Quantization

Quantization error in stereo imaging system with noise distributions

2020 ◽  
Vol 11 (05) ◽  
pp. 2050042
Author(s):  
Deepika Saini ◽  
Sanjeev Kumar
Keyword(s):  
Error Analysis ◽  
Imaging System ◽  
Statistical Error ◽  
Practical Aspect ◽  
Quantization Error ◽  
Stereo Imaging ◽  
Stochastic Error ◽  
Detailed Simulation ◽  
Inherent Problem ◽  
2D Images

The problem of estimating quantization error in 2D images is an inherent problem in computer vision. The outcome of this problem is directly related to the error in reconstructed 3D position coordinates of an object. Thus estimation of quantization error has its own importance in stereo vision. Although the quantization error cannot be controlled fully, still statistical error analysis helps us to measure the performance of stereo systems that relies on the imaging parameters. Generally, it is assumed that the quantization error in 2D images is distributed uniformly that need not to be true from a practical aspect. In this paper, we have incorporated noise distributions (Triangular and Trapezoidal) for the stochastic error analysis of the quantization error in stereo imaging systems. For the validation of the theoretical analysis, the detailed simulation study is carried out by considering different cases.

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