Noise Robustness
Evaluation of noise robustness for local binary pattern descriptors in texture classification
... the noise robustness of a num- ber of LBP-based ...be noise robust alternatives to the original LBP by altering the thresholding or encod- ing ...the noise robustness is assessed all ...
20
ADSL Transceivers Applying DSM and Their Nonstationary Noise Robustness
... mum noise increase is equal to ...better noise robustness is obtained up to 13 ...a noise measurement is performed on which the modem will compute the power back-off value assuming that the ...
8
Experimental Realization of the Coupling Function Secure Communications Protocol and Analysis of its Noise Robustness
... These noise signals were generated in Matlab and sent to the two independent analog outputs of a computer audio card with a 100 KHz sampling ...Both noise signals were of the same amplitude, and analysis of ...
11
Experimental Realization of the Coupling Function Secure Communications Protocol and Analysis of its Noise Robustness
... Abstract—There is an increasing need for everyday communi- cations to be both secure and resistent to external perturbations. We have therefore created an experimental implementation of the coupling-function-based secure ...
11
An online graph-based anomalous change detection strategy for unsupervised video surveillance
... the robustness of the proposed system in a noisy environ- ...Gaussian noise (AWGN), which can occur during various processes ...light noise by also adding a value, which is generated randomly in the ...
11
Noise-robust speech feature processing with empirical mode decomposition
... In this article, a novel technique based on the empirical mode decomposition methodology for processing speech features is proposed and investigated. The empirical mode decomposition generalizes the Fourier analysis. It ...
9
Robust Speech Recognition Using Perceptual Wavelet Denoising and Mel-frequency Product Spectrum Cepstral Coefficient Features
... white noise is evident, whereas PNFR obtained with soft thresholding (PNRF_soft) and Mfpscc features prevail at elevated noise ...better noise robustness than mfpscc ...
6
Diamond Sampling Structure based BRINT Descriptor for Texture Classification
... The original LBP considers only the sign knowledge of difference between local pixels, then it encodes the difference sign into either 0 or 1. These codes are converted into a decimal number to depict arrangement. ...
9
Soft Analytical Side-Channel Attacks
... the noise robustness and low time complexity of DC strategies with the low data complexity of analytical ...low noise levels: to attack the aes furious implementation that was targeted in previous ...
15
Spectral Reconstruction and Noise Model Estimation Based on a Masking Model for Noise Robust Speech Recognition
... increase noise robustness in automatic speech recognition (ASR) systems is feature enhancement based on an analytical dis- tortion model that describes the effects of noise on the speech ...
31
Robustness-driven hybrid descriptor for noise-deterrent texture classification
... is noise intolerant ...when noise corrupts the center pixel value in the smooth gray intensity region; thus the texture pattern is changed [35] ...of noise intolerance associated with LBP is solved ...
13
HIERARCHICAL CLASSIFICATION TREE MODELING OF NONSTATIONARY NOISE FOR ROBUST SPEECH RECOGNITION
... in noise- robust speech ...background noise pro- perties, however, reduces the MLLR usefulness in nonstationary noise ...premium noise robustness comparable to the dedicated noisy ...
9
Probabilistic Integration of Partial Lexical Information for Noise Robust Haptic Voice Recognition
... prefix and/or suffix letters). Preliminary simulated experiments conducted by Sim (2010) show that potential performance improvements both in terms of recognition speed and noise robustness can be achieved ...
9
An Implementation of Robust Image Fingerprinting Based on DCT
... In 1995, D. Boneh and J. Shaw [1] presented a relatively clear digital fingerprinting solution that became a classic fingerprinting coding. In 1997, Cox et al. [2] proposed a watermarking algorithm based on spread ...
6
Estimating Watermarking Capacity in Gray Scale Images Based on Image Complexity
... as noise has led us to think of watermarking as a form of ...as noise, no advantage is taken of the fact that the content is completely known to the watermark ...
9
Ordinal Feature Selection of Finger Print and Image for Remote Authentication
... Authentication using Biometric signals enter more into our everyday lives, since governments, and also other organizations, resort to their use in accomplishing crucial procedures (e.g. citizen authentication). Thus ...
9
MULTISCALE IMAGE ANALYSIS BASED ON ROBUST AND ADAPTIVE MORPHOLOGICAL SCALE-SPACES
... It is clear that neither the discrete, Eqs. 2 and 3, nor the continuous, Eq. 13, formulations are robust in a noisy environment. In fact, in the presence of noise, taking the supremum in Eq. 2 or the infimum in ...
12
Fault Diagnosis of Planar Antenna Arrays Using Neural Networks
... The presence of any aforementioned faults results in deviation in radiation pattern of the array. This motivates to devise a method to diagnose faults. The proposed method detects the faults based on the change in the ...
12
2D+t Wavelet Domain VideoWatermarking
... input parameters are set to 8 × 8 macroblock, a fixed-size block matching motion estimation with ± 16 search window. The results for percentage of energy (of a GOP) in each temporally decomposed frame are shown in Figure ...
20
Training on Synthetic Noise Improves Robustness to Natural Noise in Machine Translation
... ing noise may not help in this ...synthetic noise would yield robustness to these variants, which reflect well- understood stylistic patterns rather than random variation at the character ...
6