The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
In this paper, a new spectrum sensing algorithm is proposed based on the eigenvalue distribution of the covariance matrix of sensing nodes. The received signals of all the nodes can be denoted by a non- Hermitian random matrix. A recent research indicates that the eigenvalue distribution for the product of non-Hermitian random matrices follows Single Ring Theorem for the noise-only case. However,...
Faster than Nyquist optical communication system recently attracts more and more attentions because of its higher spectral efficiency than ordinary Nyquist systems. In this work, we propose a modified-Viterbi and Viterbi phase estimation (VVPE) carrier phase recovery (CPR) scheme which shows an effective capability of reducing the cycle slips induced by inter-symbol interference (ISI) in a fast-than-Nyquist...
In machine learning, feature selection is the process of selecting a subset of relevant features for use in model construction. A comparative evaluation between selection methods: SNR, Correlation Coefficient and Max-relevance Min-Redundancy is carried out, using the dataset of prostate cancer. The Evaluation of the dimensionality reduction was done by using the supervised classifier K Nearest Neighbors...
Quanta Image Sensor (QIS) has been envisioned as a candidate solution for next generation image sensors. We provide two new contributions to the signal processing aspects of QIS. First, we develop an image reconstruction algorithm to recover the underlying images from the QIS data, which is a massive array of binarized Poisson random variables. The new algorithm supersedes existing methods by enabling...
A novel modulation format recognition algorithm based on connected component analysis in binary image processing is proposed and verified by both simulation and experiment. It shows high accuracy and much reduced complexity than conventional clustering-based method.
In communication systems, clean speech is often reproduced by loudspeakers and disturbed by local acoustical noise. Near-end listening enhancement (NELE) is a technique to enhance the speech intelligibility in environmental noise by adaptively preprocessing the speech based on a noise estimate. Conventional NELE-algorithms adaptively filter the speech by applying spectral gains which are determined...
Most of the available phase retrieval algorithms were explicitly or implicitly developed under a Gaussian noise model, using least squares (LS) formulations. However, in some applications of phase retrieval, an unknown subset of the measurements can be seriously corrupted by outliers, where LS is not robust and will degrade the estimation performance severely. This paper presents an Alternating Iterative...
In this paper we present the Deep-LMS, a novel algorithm for crosstalk cancellation in DSL. The Deep-LMS crosstalk canceler uses an adaptive non-diagonal preprocessing matrix prior to a conventional LMS crosstalk canceler. The role of the preprocessing matrix is to speed-up the convergence of the conventional LMS crosstalk canceler and hence speed-up the convergence of the overall system. The update...
Due to its possible low-power implementation, Compressed Sensing (CS) is an attractive tool for physiological signal acquisition in emerging scenarios like Wireless Body Sensor Networks (WBSN) and telemonitoring applications. In this work we consider the continuous monitoring and analysis of the fetal ECG signal (fECG). We propose a modification of the low-complexity CS reconstruction SL0 algorithm,...
Speech understanding in adverse acoustic environments is still a major problem for users of hearing-instruments. Recent studies on supervised speech segregation show good promise to alleviate this problem by separating speech-dominated from noise-dominated spectro-temporal regions with estimated time-frequency masks. The current study compared a previously proposed feature set to a novel auditory-model...
We present a noise-robust algorithm for estimating the active level of speech, which is the average speech power during intervals of speech activity. The proposed algorithm uses the clean speech phase to remove the quadrature noise component from the short-time power spectrum of the noisy speech, as well as SNR-dependent techniques to improve the estimation. The pitch of voiced speech frames is determined...
We present a novel algorithm for rapid and efficient estimation of the fundamental frequency, phase and amplitude of harmonically distorted signals in balanced three-phase (3PH) power systems. The proposed algorithm exploits the harmonic structure of the signal to enhance the quality of the parameter estimates. It operates in the frequency domain, employing an efficient iterative interpolation procedure...
In this paper a robust beamforming method is proposed, which can effectively overcome the influence of DOA(direction of arrival) mismatch. The proposed method exhibits the enhanced robustness of the beamformers based on analysis of linear constrained minimum variance beamformer. Then the support vector regression (SVR) algorithm is applied to the robust beamforming, which is based on the principle...
This paper develops a single-channel noise reduction algorithm in the short-time Fourier transform (STFT) domain, which attempts to optimize the fullband output signal-to-noise ratio (SNR). We show that the conventional Wiener filter, the maximum SNR filter, and the ideal binary mask based method are particular cases of the developed algorithm. Simulations are presented to illustrate the properties...
A primary complaint of hearing-impaired individuals involves poor speech understanding when background noise is present. Hearing aids and cochlear implants often allow good speech understanding in quiet backgrounds. But hearing-impaired individuals are highly noise intolerant, and existing devices are not very effective at combating background noise. As a result, speech understanding in noise is often...
The accuracy of prior Signal to Noise Ratio (SNR) estimation directly affects the performance of single-channel speech enhancement de-noising algorithm. In the single-channel enhancement algorithms based on short-time amplitude spectrum estimation, the gain is usually described as function about priori and posteriori SNR. The decision-directed (DD) method is widely applied in prior SNR estimation...
The estimation of the source number is the foundation and the prerequisite for blind source separation. Most source number estimation algorithms assume that the number of the observed signals is more than that of the source signals. However, these methods are always failed when there are more source signals than observed signals. Traditional blind signal estimation methods for this problem do not...
In communication systems with interference, the performance of traditional adaptive beamforming to search the direction of angle (DOA) of incoming desired signal degrades because of mismatch between the true array response and the assumed array response of desired signal in a receiver antenna array. In this paper, we approach the method of maximum output Signal-to-Interference-plus-Noise Ratio (SINR)...
It is hard to choose one appropriate sparse reconstruction algorithm from multiple existing algorithms in different occasions. Being aware of this difficulty, four typical sparse reconstruction algorithms are studied to present comprehensive performance evaluations in terms of reconstruction accuracy, super-resolution ability and noise immunity, and it is found that the BCS algorithm performs best...
As to digital arrays, amplitude-phase inconsistency between channels has a great influence on the performance of the adaptive antenna. With regard to the imbalance of chirp signal caused by the mismatch of channels, this paper studies the characteristics of the chirp signal and adaptive filter, and proposes a method based on the LMS adaptive filtering algorithm to eliminate the amplitude-phase inconsistency...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.