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General expressions for the distribution functions of the absolute maximum of differentiable and nondifferentiable non-stationary Gaussian process are presented. It is then established that in particular cases the suggested asymptotic approximations are able to describe the true distributions under a wide range of the random processes parameters values.
The research is aimed to present speech signal recognition and classification using the compressive sensing method to reduce the data from speech signal cross-correlation and to compare similarity and difference between the reference speech signal (the researcher's signal) and comparative signals. The speech signal reconstruction method is based on the solution to the underdetermined linear inverse...
This study describes a new method for musical steganography utilizing the MIDI format. MIDI is a standard music technology protocol that is used around the world to create music and make it available for listening. Since no publicly available method for MIDI steganography has been found (even though there are a few methods described in the literature), the study investigates how a new algorithm for...
Human machine interaction fieldhas potentialapplications in different domainssuch as medicine therapies for vulnerable persons. Thus, allowing the machine to identify and understand emotional states is one of the primordial stages for affective interactivity with Humans. Recent studies have proved that physiological signals contribute to recognize the emotion. In this paper, we aim to classify the...
In this study a new technique is presented for obtaining the single-channel estimate of the dispersion of the fast-fluctuating Gaussian random process with a free-form spectral density. This technique is the generalization of the discriminator-based method for the estimation of the signal parameter. It is established that the introduced estimate is the asymptotically unbiased and effective one. The...
In real-life environment, the speech of interest is often correlated with different kinds of perturbation. Perturbation can be caused by speaking or non-speaking noise, or even by reverberation. This could make the speech signal auditable but not intelligible. In this case, speech cannot be exploited by other automated applications such as voice-command or speech/speaker identification and identification...
This paper introduces the implementation of steganography method called Steglbiza, which uses tempo modulation as hidden message carrier. With the use of Python scripting language, a bit string was encoded and decoded using WAV and MP3 files. Once the message was hidden into a music files, an internet radio was created to evaluate broadcast possibilities. No dedicated music or signal processing equipment...
In recent years mass spectrometry became the leading measurement technique in proteomics, giving the opportunity to construct many methods for detection of signal peaks, that are the most important elements of each spectrum. An efficient approach for detecting peaks is partitioning of mass spectrum into fragments and modeling each fragment separately using Gaussian mixture decomposition. The partitioning...
There are many challenges in single-channel multi-person mixed speech separation, such as modeling the temporal continuity of the speech signals and improving the frame separation performance simultaneously. In this paper, a separation method based on Deep Clustering with local optimization by the improved Non-Negative Matrix Factorization (NMF) combined with Factorial Conditional Random Fields (FCRF)...
In this paper, we propose a novel pre-processing method for the direction-of-arrival (DOA) estimation of multiple sources in multipath environments. In such environments, radio signals impinging on an antenna array can be either uncorrelated, partially correlated or fully correlated (or coherent signals). The proposed pre-processing technique consists of receiving the radio signals at different time...
This paper describes three methods for multiple fundamental frequencies estimation based on the multi-scale product analysis. The three methods use the autocorrelation of the multi-scale product analysis for the target pitch estimation. For the intrusion pitch, each one has its techniques. The first one uses the classic comb filtering. The second method employs the rectangular comb filter followed...
The Root Raised Cosine digital filter is a widely used pulse-shaping FIR filter in digital baseband communication systems. The design parameters of the filter implementation are strongly bound to the overall performance of the communication system. In this paper, we focus on a design analysis of the filter taking into account the filter band attenuation, the oversampling symbol interpolation, the...
The quality of service is one of challenges posed by the Cloud Computing. This issue plays an important role in making the Cloud services acceptable to customers, denotes the levels of performance, reliability, and availability offered by Cloud services. Literature has reported many implementations for measuring and ensuring QoS in Cloud Computing systems to achieve better results and meet the needs...
One of the most important problems in radar detection design is the maintaining of Constant False Alarm (CFAR). In the context of non coherent detection for high resolution radars with low grazing angle, we propose a new decision rule that achieves the CFAR property with respect to a class of clutter models. This paper demonstrates that the new proposed detector is CFAR and robust under the assumption...
Cognitive Radio Network (CRN) is a new technique that utilizes available unlicensed spectrum bands due to limited numbers of fixed licensed spectrum bands. It consists of four main functions, namely, spectrum sensing, spectrum decision, spectrum sharing and spectrum mobility. We focus on the spectrum mobility (also known as spectrum handoff) which manages the movements of secondary users to occupy...
In this paper, the concept named SocialStegDisc was introduced. This concept is as an application of the original idea of StegHash method which uses multimedia files as a carrier of hidden information and connects them logically with a mechanism of hashtags. SocialStegDisc is a new kind of mass-storage characterized by unlimited space and provides the set of operations on files: creation, reading,...
This paper proposes a new method for tracking the whole trajectory of a ballistic missile from launch to impact on the ground. Multiple state models are applied for the ballistic missile movement descriptions during different phases, while the transition probabilities are modelled in a state-dependent way. A radar sensor is applied to obtain the missile range, azimuth angle and elevation angle measurements...
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