Wiener filter
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Recent papers in Wiener filter
This paper attempts to undertake the study of Restored Gaussian Blurred Images. by using four types of techniques of deblurring image as Wiener filter, Regularized filter, Lucy Richardson deconvlutin algorithm and Blind deconvlution... more
Ce TP a pour objectif de prendre en main le logiciel MATLAB. Les notions traitées sont la manipulation de variables aléatoires et de vecteurs, l’utilisation de fonctions, la représentation graphique, la génération de nombres aléatoires,... more
In diagnosis of medical images, operations such as feature extraction and object recognition plays the key role.. These operations will become difficult if the images are corrupted with noises. Several types of noise were introduced in... more
In the field of artificial intelligence, Adaptive Learning Technique refers to the combination of artificial neural networks. In this research paper the Adaptive Learning Technique has been implemented to carry out the Detection and... more
It is well known that encryption provides secure channels for communicating entities. However, due to lack of covertness on these channels, an eavesdropper can identify encrypted streams through statistical tests and capture them for... more
This chapter reviews the solutions for the discrete-time, linear stationary filtering problems that are attributed to Wiener [1] and Kolmogorov [2]. As in the continuous-time case, a model-based approach is employed. Here, a linear model... more
This research work proposes and explore different wavelets methods in digital image denoising. Using several wavelets threshold technique such as SUREShrink, VisuShrink, and BayesShrink in search for efficient image denoising method. In... more
In a fast growing industrial world, carriers are required to carry products from one manufacturing plant to another which are usually in different buildings or separate blocks. This study intends to automate this sector using vision... more
Optimal filtering is concerned with designing the best linear system for recovering data from noisy measurements. It is a model-based approach requiring knowledge of the signal generating system. The signal models, together with the noise... more