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Adaptive Bilateral Filtering
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 Adaptive Bilateral Filtering 

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This is an implementation of fast bilateral filtering for 3D images. This filter smoothes the image while preserving edges, but in its most straightforward implementation is very computationally demanding, especially with large 3D images. Fast bilateral filtering (S. Paris and F. Durand, MIT[1]) is an approximation technique which drastically improves the speed of computation. My implementation closely follows the Matlab version of the fast 2D...



fcnFrostFilter performs noise filtering on an image based on an adaptive filter proposed by Frost.

[1] V. S. Frost, et al., "A Model for Radar Images and Its Application to Adaptive Digital Filtering of Multiplicative Noise,"...



This function is an implementation of N-dimensional convolution for the special case when the convolution kernel is separable.

A continuous function f(x1, x2, ... xN) is considered separable if there exist N functions f1, f2, ... fN...



This model uses the NLMS adaptive filtering algorithm to suppress additive noise. It does not require a reference noise signal. However, the noise should be such that the auto-correlation of the noise be close to zero for some lag greater than a...



MATLAB files to implement all Adaptive Filtering Algorithms in the book by Paulo S. R. Diniz,Adaptive Filtering Algorithms and Practical Implementation, Third Edition, Springer, New York, 2008

This book presents a concise overview of...



Jirafa is an adaptive filtering system for real-time streamed data. It can be used for analyzing and monitoring market securities, road sensors, network routing information, etc.



using this code user can actually feel the effect of filtering on audio signals and also see how filtering varies with changing the filter used



Companion software for the Direct Adaptive Control Algorithms: Theory and Applications, 2e book by Howard Kaufman, Itzhak Barkana & Kenneth Sobel



This book is written for use as a textbook on adaptive systems at the senior undergraduate, or first and second graduate levels.

For a full book description and ordering information, please refer to...



% This Function solves a bilateral matrix quadratic equation
% of the form AX+XB+XCX+D = 0 for X
% Inputs : Matrices A,B,C, D of appropriate dimensions
%
% Output : The Matrix X - if a solution exists



Adaptive multi-focus image fusion using a wavelet-based statistical sharpness measure
Adaptive multi-focus image fusion using a wavelet-based statistical sharpness measure



Drupal API functions for PayPal X Adaptive Payments API

The Adaptive Payments API enables you to send money in many different scenarios, from simple to complex.

This module does nothing on its own. It is intended to be used...



The statistics_filter module allows customizable filtering of hits from particular user roles or from crawlers.

It also can monitor hits by different user agents (Browscap module required).

This module is up for adoption...



This is an online filtering program that helps users to filter desired item from the select list menu. This program displays only matching items according to user's input. The filtering process can be done by using regular expressions. Users are...



Filtering XML using the DataTable Select() Method is a web based tutorial in which the author gives details about the process of selecting a specified row and filtering the content of it by using Select() method. The author also explains about the...



Python implementation of an adaptive replacement cache, as described in:

http://en.wikipedia.org/wiki/Adaptive_Replacement_Cache

Caveat: This may or may not be under patent by IBM, beware of putting it in production code. I...



PAW (pro-active webfilter) is an Open-Source filtering HTTP proxy based on the Brazil Framework provided as a Open-Source Project by SUN. Because the Brazil Framework and PAW are written in Java the software is highly portable.

PAW...



Static Huffman Coding and Decoding, and Adaptive Huffman Coding and Decoding for text compression



A stack-based sequential depth-first decoder that returns Maximum-Likelihood solutions to M-QAM modulated MIMO system-type problems, i.e., a lattice decoder with optional justified rectangular boundary control. In such problems, the depth of the...



LMS filters in an adaptive filter architecture is a time honored means for identifying an unknown filter. By running the example code provided you can demonstrate one process to identify an unknown FIR filter.