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This paper proposes a modified bit flipping algorithm and its weighted variants based on reliability derived from intrinsic information. Compared to other existing algorithms where extrinsic information based reliability was used in the flipping function, here intrinsic information based reliability is also equally considered. This algorithm only uses additions and subtractions to modify reliability...
The heaviest challenge in wireless is to provide seamless connectivity even during mobility. In our paper, we have proposed a scenario where we use a telemedicine vehicle which supports IEEE 802.11b and Long Term Evolution (LTE). The connection between heterogeneous networks is done through the support of the proposed Dynamic Media Selection algorithm (DMS). DMS comes into the scenario when the mobile...
Compressed Sensing is a novel sampling technique that can be used to faithfully recover sparse signals from fewer measurements than those proposed by the Nyquist theorem. A simple and intuitive measure of sparsity in a signal is ℓ0-norm. However, the ℓ0-norm function does not satisfy all the axiomatic properties of a true mathematical norm. The discrete and discontinuous nature of ℓ0-norm poses many...
The advancement in medical imaging modality has made it possible to produce many types of digital medical images. However, limited effort has been done so far to utilize these valuable resources towards understanding the abnormalities' characteristic that the images might have. This is due to time consuming and expensive medical experts' interpretation processes. A case study on dental images has...
Pre-processing steps are critical in automated image analysis systems developed to aid in diagnosis of skin lesion images. The main areas of concern include, but are not limited to, hair on the skin, variations in illumination and skin tone, and alignment of successive skin images. These artifacts can partially or completely obstruct a lesion being analyzed causing errors in classification or diagnosis...
In order to improve the signal-to-noise ratio(SNR) of the noise-contaminated signal and speed up the calculation speed. Firstly, digital average and correlation analysis two traditional methods is introduced in this paper, and then a new fusion algorithm method based on packet digital average and correlation analysis is proposed. Furthermore, simulations based on MATLAB of digital average, correlation...
In the aspect of weak signal detection, the single sensor has the limitation to detect the weak signal and carry out the cross correlation operation. Therefore, the paper proposes a multi-sensor cross-correlation fusion algorithm. The same measured point is detected using a plurality of identical sensors and the detected signal is processed using the cross-correlation fusion algorithm. Through theoretical...
Mobile devices are widely used today for speech communication. The environments in which these devices are used are widely varied and often the level of background noise in the speaker's environment can be significant. The purpose of speech enhancement is to reduce the level of background noise, ideally to such a level that it is not noticed by the listener. While speech enhancement algorithms can...
Tracking of stationary noise is not an issue when compared to non-stationary noise tracking as stationary noise properties remain constant throughout time. When noise properties itself is changing with time noise standard deviation estimation is found to be a better tool in analyzing noise properties. It is estimated to find out the noise power spectrum which is assumed to be same as noise variance...
Aiming at the problem that the signal-to-noise ratio of the cumulative pulse contour is low and the accu racy of the pulsar navigation and positioning is affected, a fast pulse time delay estimation algorithm based on va riable step size iteration is proposed.Firstly,the algorith m calculated one-dimensional slice of standard pulse pro file signal and pulse profile signal by using the third-cum ulant...
In order to ensure the quality of service of the communication link, the user equipment(UE) can connect with one or more micro base stations(MBSs) in the user-centric millimeter-wave distributed cell. How to select the optimal MBSs to communicate with UE is a problem according to the channel environment. Based on the limited feedback beamforming technique of random vector quantization (RVQ) codebook...
Synthetic aperture radar (SAR) image interpretation and analysis are heavily affected by the speckle noise typical of coherent acquisition systems. Very recently, a novel despeckling approach based on the exploitation of a priori information about the scattering behavior of the illuminated surface has been presented. The new scattering-based algorithms, named SB-PPB and SB-SARBM3D, represent a scattering-oriented...
Narrow-band interference (NBI) is a common jamming signal against synthetic aperture radar (SAR), in which the imaging quality can be degraded severely. To suppress NBI effectively, a novel interference suppression algorithm using robust principal component analysis (RPCA) based time-frequency signal separation is proposed. The RPCA algorithm is introduced for time-frequency signal separation for...
As cutting-edge technology, cluster wells can substantially enhance wells production and oil recovery. Rotating Magnet Ranging System (RMRS) is critical technology to ensure precise ranging and accurate interconnecting target of complex structure wells. The magnetic signal of RMRS is a sinusoidal signal of frequency-varying, narrow band, and its intensity attenuates rapidly with cube of the propagation...
The existing algorithms for the selection and switching of signal-code sequences (SCS) in IEEE 802.11 wireless equipment are analyzed. Indicators and criteria for assessing the efficiency of existing SCSs switching algorithms are reviewed. Suggested algorithms for switching SCS are proposed taking into account advantages and disadvantages of such algorithms.
In this paper we analyze adaptive classification algorithm for digital amplitude-phase modulated signals in flat fading channel with non-Gaussian additive noise, representing possible interference in the channel besides thermal receiver noise. We represent additive noise via normal mixture model, which is able to model various interference scenarios by choosing specific mixture parameters. The adaptive...
Double Weight (DW) code families are constructed with different algorithms and fixed value of users at basic code matrix. A single code construction algorithm is proposed for DW code families in which, number of users for basic code matrix depends on the code weight and on a constant value. Mapping is used to provide the greater number of users. Affect of basic matrix (used in mapping) on Bit Error...
Automated Modulation Classification (AMC) shows great significance for any receiver that has little knowledge of the modulation scheme of the received signal. A useful digital signal modulation recognition scheme inspired by the deep auto-encoder network is proposed in this investigation. In our proposed method, there are two deep auto-encoder networks. The system extracts the original features of...
Joint design of transmit waveforms and receive filters has been an active research field since the emergence of MIMO radar. The design problem is usually formulated into a maximization of the signal-to-interference-plus-noise ratio (SINR), subject to waveform constraints. A widely used approach is the alternating optimization scheme combined with the rank-one constrained SDP programming. In this paper,...
The paper is devoted to the implementation on the FPGA of the algorithm for the optimal combining of signals. Described the algorithm, the architecture of the optimal combining block, implemented to a four-element antenna system. The signal-to-noise ratio chosen as a criterion reflecting the efficiency of interference suppression in the reception band (increase of noise immunity). The effectiveness...
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