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In cognitive radio networks, spectrum sensing plays a crucial role in the discovery of spectrum opportunities for secondary systems (or unlicensed systems). The performance of spectrum sensing is characterized by both accuracy and efficiency, and more importantly the time taken to make a decision and also the complexity involved in doing so. In this work we propose a simple detection technique based...
The presence of parasite interference signals could cause serious problems in the registration of ECG signals and many works have been done to suppress these noise signals. By conducting a mathematical method based on varying window length as according to the distance from the adjacent Rpeak which are assumed to be high frequency noise (power line interference, electromyography noise) is removed with...
This paper presents a two stage process for image de-noising and edge enhancement by applying singular value decomposition technique on anisotropic diffused images. The two diffused versions of the input noisy image are generated in the first stage by anisotropic diffusion. The first diffused image is a well smoothed image and the second diffused image is sharp edge detected image. Singular value...
Segmentation is considered as a core step for any recognition or classification method and for the text within any document to be effectively recognized it must be segmented accurately. In this paper a text and writer independent algorithm for the segmentation of sub-words in Arabic words has been presented. The concept is based around the global binarization of an image at various thresholding levels...
In this paper, is proposed a robust sensorless speed observer-controller scheme for a Permanent Magnet Synchronous Motor (PMSM) based on the use of an Extended Kalman Filter (EKF) to estimate both position and speed, without any mechanical sensor. Then, a state-feedback optimal control algorithm is developed for uncertain of PMSM, based on the use of an Algebraic Riccati Equation (ARE) and a convex...
Study on water lubricated rubber bearing has important theoretical significance and applied value in military affairs. This paper builds a low noise composite rubber bearing parallel computing model, and drives the difference equations of bearing displacement. According to the step values, the parallel computing algorithm is given, and the convergence time t varied with time step length is obtained.
Modeling and analysis of low frequency noise in circuit simulators with time-varying bias conditions is a long-standing open problem. In this paper, we offer a definite solution for this problem and present a model for low-frequency noise that captures the internal, stochastic dynamics of the individual noise sources via dedicated internal pseudo nodes that are coupled with the rest of the circuit...
In the design of high complexity systems, the significance of signal integrity plays a vital role and in turn depends on the occurrence of different noises such as crosstalk noise, reflection noise, switching noises and active periodic noise. These noises are more in the design of IC, PCB layout design and multilayered PCB. However the impact of Simultaneous Switching Noise (SSN) noises in a IC with...
Since the loss of input rectifying diode bridge in the conventional PFC converter reduces the efficiency, the bridgeless PFC converter has been proposed. The totem-pole bridgeless PFC converter is the most representative one. However the common mode noise current occurring around the input voltage zero-crossing brings severe EMI problem restricts its practical application. In order to improve noise...
Modern Electronic Warfare systems need to provide real time location information in a consistent, unambiguous and timely manner. The time difference of arrival (TDOA) techniques used for location determination make use of the method of hyperbolic multilateration. One technique which is widely used for solving non linear hyperbolic equations is the Taylor Series method. This paper discusses the convergence...
Target of this research is that patient can listen to sounds of own internal organs, be interesting in and have active involvement in own medical treatment. However, there is nothing in the world patient can listen to the sound of own internal organs. Any patient will be not able to make out sound of particular organ, using stethoscope. Doctor uses the stethoscope for diagnosis catching weak sound...
The SITAN algorithm makes use of terrain elevation information to aid inertial navigation system and achieves good results. The geomagnetic field can be used as the conditions of the auxiliary inertial navigation, because the geomagnetic value map and the terrain elevation map have high similarity. By using the SITAN algorithm and combining the contour information of existed geomagnetic map with the...
We will define two models of error-detecting codes based on quasigroups of arbitrary order. For some special cases of these two models we provide experimental results for the probability of undetected errors if a given quasigroup of order 4 is used for coding. At the end, we will compare the considered special cases.
The classical preamble-based channel estimation for pulse shaping orthogonal frequency division multiplex/offset QAM (OFDM/OQAM) systems requires zero-value guard symbols to guarantee interference avoidance, which leads to low spectral efficiency. In this study, we cut down the preamble structure without zero-value guard symbol to reduce preamble resource overhead. However, the intrinsic imaginary...
The problem of allocation of frequency resources between users in cognitive radio networks using cognitive map is considered. Factors on this map are: the delay queue arrival rate of packets from the subscriber station, the signal-to-interference + noise, the requested resources, the resources available and allocated resources.
In this paper, the de-noising filter study of the sound-source using the DWT is introduced. We suggest the de-noising filter using the Discrete Wavelet Transform (DWT). The DWT has been performed to remove out the noises from the signals. In order to confirm the performance of suggested filtering algorithm, we estimate the distance and angle from the microphone to the sound-source and compare the...
Joint detection of asynchronous signal streams via iterative reception is investigated. While basic theoretical system performance is well understood, practical aspects such as those arising from time-varying channels due to parameter drifts are less well explored. The integration of adaptive estimators for these time-varying channels for all data streams into the iterative receiver processor is investigated...
A problem of frequency identification for a biased sinusoidal signal is considered. An identification algorithm is proposed which ensures exponential convergence for a case of an input signal with no noise and additionally allows to estimate an amplitude and a bias of the input signal. For a case of a noised input signal an adaptive cascade of band-pass filters is proposed coupled with the proposed...
In this paper, we study the received signal strength (RSS) based localization problem with correlated shadowing between pairs of RSS measurements. By linearizing the correlated RSS model, a weighted least squares (WLS) is formulated to obtain the target location. We also study the correlated shadowing when differential received signal strength (DRSS) is deployed as measurements. Numerical simulations...
This paper proposes a fault detection methodology for incipient faults that combines different residual generation methods (observers and l-step ahead predictors) with different convergence velocity to the real output trying to benefit from the advantages offered by each one. The integration is based on generating a timed automaton, which combines the information extracted from each method in order...
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