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We present a new method for correcting over-exposed areas in images. The method takes advantage of the strong correlation between the RGB color channels and relies on the observation that in images the RGB components are often not over-exposed at the same position. Our solution operates on line profiles, making it ideally suited for hardware implementations. In addition to its low computational complexity,...
There have been numerous studies involving research and development, for detecting falls exhibited by the elderly. Considering that the prevention of a falling elderly is much more complex to address and estimate, very little research has been done. In fact research is often strictly limited resourceful medical organizations that have specialized clinical tools. Human locomotion, particularly “Walking”...
This paper investigates the design criteria for an ultrasound positioning system used in smart tool applications. A novel range-finding system based upon low cost, ease of implementation, and an automatic gain controller (AGC) is developed. We also design several signal processing algorithms for this system, including an amplitude threshold method (ATM), a frequency threshold method (FTM), and a cross...
This project aims to contribute to education research using mobile apps to demonstrate how signals and systems concepts are used in sensor network localization. An educational demonstration of sensor localization on mobile devices is described with the mobile devices acting as nodes of a sensor network. In our approach, we are developing an app that uses a modified version of time-difference of arrival...
Asset prices fluctuate up and down chaotically. Traders, investors and fund managers comb the chaos for exploitable patterns with methods such as moving averages from the realm of technical analysis. In this paper we focus on linear moving averages which aim to smooth asset prices removing fluctuations. First, we will develop a method to measure the smoothness for a linear filter. We will also discuss...
Recent generalisations of stochastic filtering methods to multi-object systems have become very popular for solving multi-target tracking problems over the last decade. However, there was previously no general means of introducing correlations between objects. In this article, we investigate generalisations of such multi-object filters for systems where there may be dependencies between objects. Determining...
The existing Bernoulli-Gaussian (BG) model describes the impulsive noise samples for power line communication (PLQ as independent and identically distributed (i.i.d.). In practice, impulses often occur in bursts and have memory. In this paper, the impulsive noise for PLC is investigated using both measurement and modeling approaches. To the best of our knowledge, this is the first work to model the...
Various structures and configurations make frame to be a powerful tool in the domain of signal processing. Among its numerous configurations, the ones which have drawn much attention recently are Equiangular Tight Frames (ETFs) and Grassmannian Frames. These frames both have optimality in coherence, thus bring robustness and optimal performance in applications such as digital fingerprint, erasure...
During 2-year project “SAWtag” supported in frames of French program “Chaıre d'Excellence” a SAW tag and sensor system operating in the Ultra-Wide-Band (UWB) frequency range has been developed. Often SAW tags and sensors operate in 2.44 GHz ISM band using relatively narrow bandwidth B= 82.5 MHz. The characteristics of these devices can be improved using UWB technology. We have developed two prototype...
Advances in medical technology allowed the possibility of avoiding arrhythmias with early diagnosis. Then, it is important to classify ill and healthy people correctly. In this work, the effect of Poincare plot measures (SD1 and SD2) and complex correlation measure (CCM) on the classification of subjects with and without paroxysmal atrial fibrillation (PAF) is examined. SD1, SD2 and CCM features,...
For chaotic structure showed dynamic system chaos analysis are used phase space reconstruction, correlation dimension and maximum Lyapunov exponent method and such methods. Chaotic time series analysis method is benefit signal processing method for determine of nonlinear behavior of dynamic system. In this study, the methods explained for the chaotic analysis of the time series, which is obtained...
This work investigates the role of canonical correlations analysis in image classification problems. Canonical correlation analysis is proposed as an alternative feature selection and reduction method for generic image classification problems. This new method is studied via various image classification problems in comparison with principal components and kernel principal components analysis. Multiple...
In many radar problems it is not necessary to compute the ambiguity function in a perfect manner. In this article a new multiplication free algorithm for approximate computation of the ambiguity function is introduced. All multiplications (a × b) in the ambiguity function are replaced by an operator which computes sign(a × b)(|a| + |b|). The new transform is especially useful when the signal processing...
Classifier performance is very important to give right decision above the data. Re-sampling methods, such as Jacknife, cross validation, are statistical methods to measure of classifier performance. The modified classifiers by using training set test with unused data in the training set, and introduce their performance results. The training and test sets are randomly selected to avoid the between...
Early detection of forest fires has a huge importance in terms of the forest protection. In previous studies, wildfires detected with the help of fixed camera and computer. The camera used only monitors a specific region, for the rest of this region either an another camera is used or it just cannot be monitored. In this paper, we propose an approach that can monitor the whole 360o field using only...
The use of brain wave patterns as a biometric is highly resistant to fraud. The ease of collecting P300 event-related potentials from most subjects also makes it a potential biometric for the general public. This paper proposes a method to use topological plots typical to the study of P300 as a biometric in individual identification and authentication. The variation in latency and location of P300...
Hardware structure of the diagnostic complex “Electronic Nose” was described. The choice of amperometric electrochemical sensors was reasoned for gas analyzer creation. Operation of the motherboard and the signal amplification circuit of chemical sensors were examined. Processing method for input signal from the sensor to the analog-digital converter was analyzed. The statistical results of the experimental...
The growing use of UAVs in surveillance and tracking of objects requires faster image processing algorithms. In this paper a tracking algorithm with auto and dynamic generation of ROI based on relative velocity of object with respect to U AV is proposed. The size of the ROI is modified based upon the randomness in appearance of the object in each frame in order to select the smallest ROI possible,...
Complex representation of one-dimensional (1-D) real-valued signals, or named as the analytic signal is defined by combination of original signal and its Hilbert transform. With associated instantaneous frequency, amplitude and phase, it plays a great role in 1-D statistical analysis. As an extension to two-dimensional (2-D) condition, complex representation of 2-D real-valued signal derived from...
The existing digital watermarking schemes use a digital pattern like pseudorandom number sequence, a logo image or a digital signature as the watermark. Use of such watermarks is not convincing as the ownership of such a watermark is not clear for ownership claims. This paper proposes an efficient digital watermark generation technique from biometric iris data which will be unique and can be owned...
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