Linear Filtering
Optimization of Linear Filtering Model to Predict Post LASIK Corneal Smoothing Based on Training Data Sets
... Laser vision correction is a rapidly growing field for correcting nearsightedness, farsightedness as well as astigmatism with dominating laser-assisted in situ keratomileusis (LASIK) procedures. While the technique works ...
8
A brief overview of speech enhancement with linear filtering
... and well-known Wiener filter. It is usually derived from a mean-square error (MSE) criterion, and it is not until recently that its properties in terms of noise reduction and speech distortion have been thoroughly ...
10
Volatility Extraction in Information Based Asset Pricing Framework Via Non-Linear Filtering
... optimal filtering method which is applicable in the field of science, engineering and ...to linear models with Gaussian noises. Some non-linear filtering methods that are applicable to ...
16
A Linear Filtering on Automatic Decomposition and Reconstruction of Dermoscopy Images using Global Thresholding
... The response of Gaussian filter is impulse to its function. There is a less group delay in Gaussian filter due to close connection of pixels [7]. The filter modifies the given signal by convolution matrix to Gaussian ...
7
Linear filtering reveals false negatives in species interaction data
... as linear filtering may allow to either directly ameliorate an interaction dataset or can be used to suggest promising interactions that can subsequently be verified in the ...
8
Fabric defect detection using linear filtering and morphological operations
... An algorithm with linear filters and morphological operations has been proposed for automatic fabric defect detection. The algorithm is applied off-line and real-time to denim fabric samples for five types of ...
6
Adaptive linear filtering design with minimum symbol error probability criterion
... (MBER) linear equal- izers and decision feedback equalizers (DFE) have been developed [3∼9] ...for linear multi-user detection in code-division multiple-access systems [10∼16] ...
13
A Non Linear Filtering And Tracking Of A Ballistic Missile For Terminal Phase Interception
... target and to update the prediction of the future location of the target. To accomplish this task the track file i.e. the target position, first two derivatives its velocity and acceleration should be established. Yet ...
9
High-Rate Data-Hiding Robust to Linear Filtering for Colored Hosts
... The discrete Fourier transform-rational dither modulation (DFT-RDM) has been proposed as a way to provide robustness to linear-time-invariant (LTI) filtering for quantization-based watermarking systems. ...
14
Analysis of Non linear Filtering Techniques based on Quantitative Metrics using Different Images
... Generally, Non-linear filter show better results than linear filter for removing such noise. To overcome these problems we have proposed the following non-linear filters namely Median Filter, ...
8
An Efficient Adaptive Linear Filtering Algorithm for Image Restoration Using Inverse Filter
... of linear and non linear denosing: Image denoising is very important task in image processing for the analysis of ...be linear as well as non-linear .Where linear methods are fast ...
6
A New Approach to Linear Filtering and Prediction Problems 1
... (m) By inspection of Fig. 3 we see that the optimal filter is a feedback system, and that the signal after the first summer is white noise since y ~ (t|t – 1) is obviously an orthogonal random process. This corresponds ...
12
An Enhanced Non Linear Adaptive Filtering Technique for Removing High Density Salt and Pepper Noise
... Since linear filtering techniques tend to blur the edges and perform weakly under the presence of salt- and-pepper noise, nonlinear filters have been widely exploited due to their superior performance in ...
6
Autonomous crowds tracking with box particle filtering and convolution particle filtering
... Realistic crowd simulator: Individuals within the crowd are represented as points moving in a two dimensional space. The dynamics of the group is determined by forces acting on those individuals: Forces of attraction ...
15
NICT’s Corpus Filtering Systems for the WMT18 Parallel Corpus Filtering Task
... aggressive filtering since it ap- peared that many of the sentence pairs are obvi- ously too noisy to be used to train MT ...a filtering that keeps sentences made in majority of very short and redundant ...
5
Single-Microphone Speech Dereverberation based on Multiple-Step Linear Predictive Inverse Filtering and Spectral Subtraction
... In this chapter two new algorithms have been proposed for single-channel speech dereverberation. The proposed algorithms consist of two stages. The first stage of the algorithms has two phases, pre-whitening followed by ...
136
Survey on Collaborative Filtering, Content based Filtering and Hybrid Recommendation System
... Recommender systems are turning out to be a useful tool that will provide suggestion to user according to their requirement. Filtering is used to improved recommendation accuracy in the first recommender systems. ...
6
A Novel Stastical Particle Filtering Approach for Non Linear and Non Gaussian System Identification
... Particle Filters originally developed for tracking application systems exclusively. It has the advantage over classical methods like spectral subtractions or Wiener filtering is that the particle filter allows the ...
6
Adaptive Linear Prediction Filtering in DWT Domain for Real-Time Musical Onset Detection
... being linear phase or nearly linear ...not linear phase (or nearly linear phase), there is a spread of the group delay over ...nearly linear phase property, that ...
10
Vietnam RESULTS AT A GLANCE. Suspected Filtering. No evidence of Filtering. Substantial Filtering. Pervasive Filtering. Selective Filtering.
... With the rise of social networking and blogging as tools to express dissent, the Internet has become a contested space in Vietnam: the government attempts to rival social networking si[r] ...
14