• No results found

adaptive filtering method

A New Fractional Adaptive Filtering Method and its Application in Speech Enhancement

A New Fractional Adaptive Filtering Method and its Application in Speech Enhancement

... modified adaptive filtering method for dual-channel speech enhancement which is called Fractional Affine Projection Algorithm ...proposed method has two main ...proposed method employs ...

13

Development of novel algorithm by combining Wavelet based Enhanced Canny edge Detection and Adaptive Filtering Method for Human Emotion Recognition

Development of novel algorithm by combining Wavelet based Enhanced Canny edge Detection and Adaptive Filtering Method for Human Emotion Recognition

... new method to recognize human emotions in which a combination of wavelet-based canny edge detection and adaptive filtering is used for detection of human ...detection method. In second stage ...

6

Design of Adaptive Filtering Algorithm for Relative Navigation

Design of Adaptive Filtering Algorithm for Relative Navigation

... for adaptive filtering method applicable to relative GPS/INS ...proposed adaptive method is based on dual filters; One is the adaptive CSC filter in position domain and the other ...

5

Adaptive minimum bit error rate filtering

Adaptive minimum bit error rate filtering

... averaged over 30 runs, given SNR ¼ 12 dB and two different initial weight vector conditions. From Fig. 4, it can be seen that this stochastic gradient adaptive MBER algorithm has a reasonable convergence rate. ...

10

Combination of Adaptive Feedback Cancellation and Binaural Adaptive Filtering in Hearing Aids

Combination of Adaptive Feedback Cancellation and Binaural Adaptive Filtering in Hearing Aids

... combining adaptive feedback cancellation and adaptive filtering connecting inputs from both ears for signal enhancement in hearing ...for adaptive binaural spatial ...

15

Filtering and Tracking with Trinion-Valued Adaptive Algorithms

Filtering and Tracking with Trinion-Valued Adaptive Algorithms

... Abstract: A new model for three-dimensional processes based on the trinion algebra is introduced for the first time. Compared with the pure quaternion model, the trinion model is more compact and computationally more ...

8

Digital video stabilizer by adaptive fuzzy filtering

Digital video stabilizer by adaptive fuzzy filtering

... an adaptive fuzzy filter on the global motion of video frames. The adaptive fuzzy filter is a simple infinite impulse response filter which is tuned by a fuzzy system adaptively to the camera motion ...

15

Design and Development of Adaptive Prediction Filter for Cancellation of Narrowband Noise Interference in Wideband Signal

Design and Development of Adaptive Prediction Filter for Cancellation of Narrowband Noise Interference in Wideband Signal

... An external MATLAB file is created to generate a wideband signal. As for narrowband signal, it is sourced from an external function generator. These two signals are combined in the C code and processed by the ...

9

An Adaptive Hierarchical Method Based on Wavelet and Adaptive Filtering for MRI Denoising

An Adaptive Hierarchical Method Based on Wavelet and Adaptive Filtering for MRI Denoising

... an adaptive diffusion filter technique in MRI ...This method uses energy minimization performance of Laplacian ...This method can process signals with linear changes in intensity and protect edges of ...

9

Active learning query selection with historical information

Active learning query selection with historical information

... Learning curves for the 20NG-4 dataset are reported in Figure 7.3. Of the three 1 techniques under investigation, pre-filtering using uncertainty sampling (ERS-US) was found to be the top performing technique. ...

209

Data- and expert-driven rule induction and filtering framework for functional interpretation and description of gene sets

Data- and expert-driven rule induction and filtering framework for functional interpretation and description of gene sets

... and filtering and show that a filtering step is required to reduce the number of rules in the output set so that they could be analyzed by a human ...However, filtering may remove information from ...

14

Collaborative Filtering Recommendation Algorithm Using Implicit Similarity In Preference Relationships

Collaborative Filtering Recommendation Algorithm Using Implicit Similarity In Preference Relationships

... With the explosive growth of the personalized recommendation technologies, the users can get higher quality service and better user experience, the items on the website can be displayed in front of the users who are ...

6

Metabolically active tumour volume segmentation from dynamic [18F]FLT PET studies in non-small cell lung cancer

Metabolically active tumour volume segmentation from dynamic [18F]FLT PET studies in non-small cell lung cancer

... application of KF to multicentre studies requires highly standardized imaging procedures to apply KC derived elsewhere, or alternatively, the KCs need to be defined per imaging site. Furthermore, the specific framing of ...

10

Adaptive filtering of physiological noises in fNIRS data

Adaptive filtering of physiological noises in fNIRS data

... estimation method with an exponen‑ tial forgetting factor for noise removal in functional near‑infrared spectroscopy data and extraction of hemodynamic responses (HRs) from the measured ...proposed method ...

23

On the robustness of set membership adaptive filtering algorithms

On the robustness of set membership adaptive filtering algorithms

... The SMF combines the set estimation theory with data selection strategy to introduce the set-membership (SM) adaptive filtering algorithms [5]. The data selection is responsible for reducing the ...

12

Random Matrix Recursions in Estimation, Control, and Adaptive Filtering

Random Matrix Recursions in Estimation, Control, and Adaptive Filtering

... For a complete analysis of the above recursion for time-invariant systems, see [LR95]. In this chapter we will study such recursions when the coefficient matrices are not only time varying, but indeed random. We will ...

163

Optimization of Gradient Threshold Parameter in Feature Preserving Anisotropic Diffusion for Image Denoising

Optimization of Gradient Threshold Parameter in Feature Preserving Anisotropic Diffusion for Image Denoising

... It is an algorithm that generalizes Gaussian filtering used to reduce additive Gaussian noise, to make it adaptive to local image gradient, so that edges are preserved. The basic idea behind the ...

8

Adaptive complementary filtering algorithm for mobile robot localization

Adaptive complementary filtering algorithm for mobile robot localization

... Abstract: As a mobile robot navigates through an indoor environment, the condition of the floor is of low (or no) relevance to its decisions. In an outdoor environment, however, terrain characteristics play a major role ...

13

An Adaptive Learning Based on Ant Colony and Collaborative Filtering

An Adaptive Learning Based on Ant Colony and Collaborative Filtering

... Information and communication technologies, particularly the internet, have prevailed this last decade our everyday life, personal’s as professional’s. After been interfered within many domains such as E-learning, the ...

5

THE EFFECTS OF QUALITY FACTORS OF WEB BASED INFORMATION SYSTEM ON THE EMPLOYEE 
CONTEXTUAL PERFORMANCE

THE EFFECTS OF QUALITY FACTORS OF WEB BASED INFORMATION SYSTEM ON THE EMPLOYEE CONTEXTUAL PERFORMANCE

... method efficiently removes the bluish color cast and improves the low red color, the low illumination and true colors of underwater images. The proposed method has produced better results compared to the ...

8

Show all 10000 documents...

Related subjects