The performance analysis of discrete-time detection and estimation in color gaussian noise

1988 ◽  
Vol 5 (2) ◽  
pp. 87-95
Author(s):  
Liu Yu
Keyword(s):  
Performance Analysis ◽  
Discrete Time ◽  
Gaussian Noise ◽  
Detection And Estimation

scholarly journals Time-dependent performance analysis of a discrete-time priority queue

2008 ◽  
Vol 65 (9) ◽  
pp. 641-652 ◽  
Author(s):  
Joris Walraevens ◽  
Dieter Fiems ◽  
Herwig Bruneel
Keyword(s):  
Performance Analysis ◽  
Discrete Time ◽  
Priority Queue ◽  
Time Dependent

Performance Analysis of a Robust Wavelet Threshold for Heavy-Tailed Noises

2010 ◽  
Vol 40-41 ◽  
pp. 979-984
Author(s):  
Guang Fen Wei ◽  
Feng Su ◽  
Tao Jian
Keyword(s):  
Performance Analysis ◽  
Gaussian Noise ◽  
Normal Family ◽  
Soft Threshold ◽  
Heavy Tailed ◽  
Threshold Technique

The interesting signal is often contaminated by heavy-tailed noise that has more outliers than Gaussian noise. A robust wavelet threshold based on the minimax description length principle is derived in the ε-contaminated normal family for maximizing the entropy. Compared with classical threshold based on Gaussian assumption, the robust threshold can eliminate the heavy-tailed noise better, even if the precise value of ε is unknown, which shows its robustness. The further experiment shows that soft threshold is more suitable than hard threshold for robust wavelet threshold technique.

Development of Nonlinear Filtering Algorithms of Digital Half-Tone Images

2013 ◽  
pp. 278-304 ◽  
Author(s):  
E. P. Petrov ◽  
I. S. Trubin ◽  
E. V. Medvedeva ◽  
S. M. Smolskiy
Keyword(s):  
Discrete Time ◽  
Gaussian Noise ◽  
Nonlinear Filtering ◽  
Noise Immunity ◽  
Digital Communication ◽  
Additive White Gaussian Noise ◽  
Markovian Process ◽  
Radio Receiver ◽  
Filtering Algorithm ◽  
Communication Links

This chapter is devoted to solving the problem of algorithms and structures investigations for Radio Receiver Devices (RRD) with the aim of the nonlinear filtering of Digital Half-Tone Images (DHTI) representing the discrete-time and discrete-value random Markovian process with a number of states greater than two. At that, it is assumed that each value of the DHTI element is represented by the binary g-bit number, whose bits are transmitted via digital communication links in the presence of Additive White Gaussian Noise (AWGN). The authors present the qualitative analysis of the optimal DHTI filtering algorithm. The noise immunity of the optimal radio receiver device for the DHTI filtering with varying quantization and dimension levels is investigated.

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