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In wireless sensor network nodes position estimation in space is known as localization. Node localization in wireless sensor network is important for many applications and to find the position with Received Signal Strength Indicator requires a number of anchor nodes. However the estimation of distance from signal strength decay in not very accurate especially in time varying environmental conditions and the estimation of exact direction required highly directive antenna but, may still affected by multipath fading. A Genetic Algorithm for wireless sensor network localization is proposed in this paper to solve the issue that the positioning accuracy is low with minimum anchor nodes. Hence in this paper we are presenting a Genetic algorithm for optimization approach which tries to find the optimal location by satisfying both the criteria with minimal error. The simulation results also shows effectively outperform both the techniques.
Tecmax are the quality isolation transformer manufacturers are unit Republic of India based mostly manufacturer, businessperson and provider of Comprehensive Isolation transformers. It’s wont to decouple 2 circuits and permit AC signal or power to be taken from one device to a different while not connecting to 2 circuits electrically.
This paper presents the generation of optical carrier suppressed signal for RoF system. RoF refers to an analog transmission over fiber technology where light is modulated by radio frequency (RF) signal and transmitted over an optical fiber link to wireless access. Both optical carrier suppression and signal modulation are made by using a Dual-Drive Mach-Zehnder modulator (DD-MZM). Suppressed carrier modulation is achieved by biasing at the null point of DD-MZM. Optical carrier suppression improves the performance of RoF system such as link gain and noise figure (NF).In this research, a single RF at 2100 MHz having data rate of a 1 Gbps modulates the 1550.12 nm optical carrier in the DD-MZM. In this paper, the carrier suppression and performances of RoF system are investigated by theory and simulation. The various values of optical carrier suppression ratio can be obtained by adjusting the extinction ratio of the DD-MZM.
This paper presents the design of different filtering techniques for the Neuro-Biomedical signals in single electrode EEG collected Brainstem Speech Evoked Potentials data of Audiology for the Signal-to-Noise Ratio performance evaluations. We have designed Yule-Walk multiband filter, Cascaded Yule-Walk-Comb-Peak filter; conventional Wavelet transform filters of Daubechies, Symlet, Coiflet Wavelets for these Auditory Brainstem Responses. In addition we have designed a Translation-Invariant (TI) Wavelet estimation filtering technique which is highly useful. In our research the idea of Cascaded Yule-Walk-Comb-Peak filter is giving us a considerable improvement in SNR over Yule-Walk filter; and the conventional wavelets are performing far better that too specifically Daubechies wavelets are performing better than all. The TI wavelets technique is performing exceptionally well and better than conventional wavelets.
In this paper a new scheme is proposed for progressive image transmission over coded Orthogonal Frequency Division Multiplexing (OFDM) system with Low Density Parity Check Coding (LDPC). Trigonometric transforms are used in this scheme for improving the performance of the OFDM systems and reducing the PeakTo- Average Power Ratio (PAPR) of OFDM signal. It improves the error resilience ability and transmission efficiency for progressive image transmission over Additive White Gaussian Noise (A WGN) channel. The Set Partitioning In Hierarchical Trees (SPIHT) algorithm is used for source coding of the images to be transmitted. In the proposed scheme the transmit data sequence of the OFDM signal after Inverse Fast Fourier Transform (lFFT) is grouped into in-phase and in-quadrature components, then each component is transformed using either the Discrete Cosine Transform (DCT) or the Discrete Sine Transform (DST). The simulation results show that adding the DST to the system im
The heart rhythm is directly related to the electrical activity of the heart. Electrocardiogram (ECG) is generally used for obtaining information about the heart rhythm. In this paper, a method for calculating heart rhythm variation using the Phonocardiogram (PCG) and a method for finding characteristics of the that signal is described.
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