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Contrast enhancement is one of the most studied problems in image processing. A plethora of approaches has been proposed in the literature for image enhancement since the pioneer work of Kovasznay and Joseph in 1955 [1] and the famous contribution of Gabor in 1965 on image deblurring [2]. However, very few works have been dedicated to contrast enhancement evaluation. This is mainly due to the fact...
In this paper, we provide a new approach based on Fourier series model with time varying coefficients for received signal in ultra short pulse or ultra wide band (UWB) radar using an MMSE estimator for estimating the Fourier coefficients that determine the velocity and range of a moving target without appealing to a matched filter. We demonstrate that it is impossible to determine velocity of a target...
The effort to find new sources of energy became a challenge for all scientific and technological areas in the world. Use of renewable resources in distributed generation is one of the considerable options for the increasing energy demand. Conventional energy systems transform into Smart Grid concept by the integration of innovative smart energy devices with the conventional electricity grid infrastructure...
In this paper we modified Fuzzy-Neuro Generalized Learning Vector Quantization for Arrhythmia heart beat detection. The original algorithm was used triangle membership function. In this research we propose another membership function is Pi membership function, the Pi membership functionis a product of sigmoid membership function and z membership function was adapted from twin sigmoid membership function...
In this paper, we first demonstrate that a cyclostationary process is an oscillatory process which has a periodic evolutionary spectral, and we determine the relation between spectral correlation function and the periodic evolutionary spectral. Next, based on harmonic series representation (HSR) (a Fourier series with time varying lowpass coefficients representation that reveals the pertinent properties...
In this paper, we provide a new approach in ultra Wideband (UWB) radars based on a Fourier series with time-varying coefficients resulting in a second-order cyclostationary characteristics for stationary (low-mobility) target and almost second-order cyclostationary characteristics in moving target scenario. We also provide a new method for blind detection based on detecting the presence of cyclostationarity...
Time Division-Synchronous Code Division Multiple Access (TD-SCDMA) has several attractive characteristics that made it capable of meeting the requirements of G4 systems when applied as a platform directly. Joint detections, the unpaired spectrums with flexible sharing of resources, and some other advanced properties leads TD-SCDMA to achieve high data rate services. In this paper a comprehensive analysis...
This work investigates the controlling effects of a small group of agents on a large flock. The flock consists of a small fraction of informed agents, who are aware of the final goal, and a large fraction of naïve agents, who are not aware of the final goal but tend to stay with the group. The interesting point of this work is that although the informed agents can not transmit information such as...
In this paper, we model an almost cyclostationary signal as Fourier series expansion with lowpass time-varying coefficients and then provide a new approach to detect a cyclostationary signal in spectrum sensing cognitive radio paradigm. The lowpass time-varying coefficients of the cyclostationary signals are expanded by prolate spheroidal sequences (DPSS) as the unconditional orthonormal bases which...
In the past decades, there has been an implicit explosion of absorption in Artificial Intelligence (AI) field. AI supplies robust and flexible means for acquiring solutions to a diversity of problems that often cannot be solved by other, more traditional and orthodox methods. Nowadays, its use is increasing rapidly in many sectors of complicated practical problems. Meanwhile, electrical energy demand...
Removal of noises from ECG (Electrocardiogram) signal is a classical problem. Moreover, nullifying AC and DC noises using the two adaptive algorithms-the LMS and the RLS from the ECG is a new study in biomedical science. In this paper, the four types of AC and DC noises have been implemented according to their basic properties. After that, these noises have been mixed with ECG signal and nullify these...
Hearing screening test is a method to determine the disorder in human ears. Conventional audiometer and an audiologist are required in order to perform the hearing screening test. However, this procedure is difficult to be implemented especially in a remote site such as factory or school due to the ambient noise which may cause inaccuracy in the test. In this work, the application of active noise...
A major source of error in the analysis of functional Magnetic Resonance images is the presence of spurious activation arising on account of patient head movement at the time of image acquisition. This makes it imperative for the images to be subjected to motion correction through registration. A number of solutions to the problem currently do exist though there is always the need for faster approaches...
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