Efficient feedforward linearization technique using genetic algorithms for OFDM systems
Feedforward is a linearization method that simultaneously offers wide bandwidth and good intermodulation distortion suppression; so it is a good choice for Orthogonal Frequency Division Multiplexing (OFDM) systems. Feedforward structure consists of two ...
Impact of crosstalk channel estimation on the DSM performance for DSL networks
The development and assessment of spectrum management methods for the copper access network are usually conducted under the assumption of accurate channel information. Acquiring such information implies, in practice, estimation of the crosstalk coupling ...
Noiseless codelength in wavelet denoising
We propose an adaptive, data-driven thresholding method based on a recently developed idea of Minimum Noiseless Description Length (MNDL). MNDL Subspace Selection (MNDL-SS) is a novel method of selecting an optimal subspace among the competing subspaces ...
A joint watermarking and ROI coding scheme for annotating traffic surveillance videos
We propose a new application of information hiding by employing the digital watermarking techniques to facilitate the data annotation in traffic surveillance videos. There are two parts in the proposed scheme. The first part is the object-based ...
Modified particle swarm optimization for blind deconvolution and identification of multichannel FIR filters
Blind identification of MIMO FIR systems has widely received attentions in various fields of wireless data communications. Here, we use Particle Swarm Optimization (PSO) as the update mechanism of the well-known inverse filtering approach and we show ...
Application of linear prediction technique to passive synthetic aperture processing
A method for the synthesis of an aperture with improved angular resolution and array gain is described. The proposed method explores the merit of linear prediction technique to improve the performance of conventional ETAM (extended towed array ...
Decentralized detection in censoring sensor networks under correlated observations
The majority of optimal rules derived for different decentralized detection application scenarios are based on an assumption that the sensors' observations are statistically independent. Deriving the optimal decision rule in the canonical decentralized ...
Estimating watermarking capacity in gray scale images based on image complexity
Capacity is one of the most important parameters in image watermarking. Different works have been done on this subject with different assumptions on image and communication channel. However, there is not a global agreement to estimate watermarking ...
Optimization of hierarchical modulation for use of scalable media
This paper studies the Hierarchical Modulation, a transmission strategy of the approaching scalable multimedia over frequency-selective fading channel for improving the perceptible quality. An optimization strategy for Hierarchical Modulation and ...
Experiment design regularization-based hardware/software codesign for real-time enhanced imaging in uncertain remote sensing environment
A new aggregated Hardware/Software (HW/SW) codesign approach to optimization of the digital signal processing techniques for enhanced imaging with real-world uncertain remote sensing (RS) data based on the concept of descriptive experiment design ...
Region adaptive color demosaicing algorithm using color constancy
This paper proposes a novel way of combining color demosaicing and the auto white balance (AWB) method, which are important parts of image processing. Performance of the AWB is generally affected by demosaicing results because most AWB algorithms are ...
Compressive sampling of EEG signals with finite rate of innovation
Analyses of electroencephalographic signals and subsequent diagnoses can only be done effectively on long term recordings that preserve the signals' morphologies. Currently, electroencephalographic signals are obtained at Nyquist rate or higher, thus ...
Audio watermarking scheme robust against desynchronization based on the dyadic wavelet transform
Digital watermarking is a technique used to embed an extra piece of information into multimedia signals without degrading the signal quality. For robust audio watermarking, geometrical modifications are common operations and present many challenges ...
Image enlargement by applying coordinate rotation and kernel stretching to interpolation kernels
Conventional image interpolation methods such as the bilinear and bicubic algorithms determine the weights of the reference pixels based on the special distance between the supplementary pixel and the reference pixels. They suffer from some problems ...
Parallel decentralized network for the detection of unknown signals through wireless nakagami fading channels
In this paper analytical and simulation results for the decentralized detection of unknown signals are introduced. Parallel sensor network scheme is assumed. Additive White Gaussian Noise (AWGN) and Nakagami fading are assumed in both links, that is, ...
Self-tuning synthesis filter against mutual coupling and interferences for gnss and its implementation on embedded board
Traditional spatial-temporal adaptive signal processing techniques are often applied to conduct narrowband and wideband interferences. However, its mitigation performance degrades greatly due to mutual coupling. To solve this problem, this paper aims to ...
Hybrid RSS-RTT localization scheme for indoor wireless networks
Nowadays, a variety of information related to the distance between two wireless devices can be easily obtained. This paper presents a hybrid localization scheme that combines received signal strength (RSS) and round-trip time (RTT) information with the ...
A robust approach for clock offset estimation in wireless sensor networks
The maximum likelihood estimators (MLEs) for the clock phase offset assuming a two-way message exchange mechanism between the nodes of a wireless sensor network were recently derived assuming Gaussian and exponential network delays. However, the MLE ...
Optimal superimposed training sequences for channel estimation in MIMO-OFDM systems
In this work an iterative time domain Least Squares (LS) based channel estimation method using superimposed training (ST) for a Multiple Input Multiple Output Orthogonal Frequency Division Multiplexing (MIMO-OFDM) system over time varying frequency ...
SQNR estimation of fixed-point DSP algorithms
A fast and accurate quantization noise estimator aiming at fixed-point implementations of Digital Signal Processing (DSP) algorithms is presented. The estimator enables significant reduction in the computation time required to perform complex wordlength ...
Particle filtering: the need for speed
The particle filter (PF) has during the last decade been proposed for a wide range of localization and tracking applications. There is a general need in such embedded system to have a platform for efficient and scalable implementation of the PF. One ...
Modeling of video sequences by Gaussian mixture: application in motion estimation by block matching method
This article investigates a new method of motion estimation based on block matching criterion through the modeling of image blocks by amixture of two and three Gaussian distributions. Mixture parameters (weights, means vectors, and covariance matrices) ...
Inverse modeling of respiratory system during noninvasive ventilation by maximum likelihood estimation
We propose a procedure to estimate the model parameters of presented nonlinear Resistance-Capacitance (RC) and the widely used linear Resistance-Inductance-Capacitance (RIC)models of the respiratory system by Maximum Likelihood Estimator (MLE). The ...
Robust and accurate curvature estimation using adaptive line integrals
The task of curvature estimation from discrete sampling points along a curve is investigated. A novel curvature estimation algorithm based on performing line integrals over an adaptive data window is proposed. The use of line integrals makes the ...
Improved steganographic method preserving pixel-value differencing histogram with modulus function
We herein advance a secure steganographic algorithm that uses a turnover policy and a novel adjusting process. Although the method of Wang et al. uses Pixel-Value Differencing (PVD) and their modulus function provides high capacity and good image ...
How much feedback is required for TDD multi-antenna broadcast channels with user selection?
The enormous gains in a multi-antenna transmitter broadcast channel require the Channel State Information at the Transmitter (CSIT). Although the fundamental question "How much feedback is required for a broadcast channel?" has been treated in the ...
Classification of pulse waveforms using edit distance with real penalty
Advances in sensor and signal processing techniques have provided effective tools for quantitative research in traditional Chinese pulse diagnosis (TCPD). Because of the inevitable intraclass variation of pulse patterns, the automatic classification of ...
Automatic image interpolation using homography
While taking photographs, we often face the problem that unwanted foreground objects (e.g., vehicles, signs, and pedestrians) occlude the main subject(s). We propose to apply image interpolation (also known as inpainting) techniques to remove unwanted ...
A new bigram-PLSA language model for speech recognition
A novel method for combining bigram model and Probabilistic Latent Semantic Analysis (PLSA) is introduced for language modeling. The motivation behind this idea is the relaxation of the "bag of words" assumption fundamentally present in latent topic ...
