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Given ubiquitous digital devices with recording capability, distributed microphone arrays are emerging recording tools for hands-free communications and spontaneous tele-conferencings. However, the analysis of signals recorded with diverse sampling rates, time delays, and qualities by distributed microphone arrays is not straightforward and entails important considerations. The crucial challenges include the unknown/changeable geometry of distributed arrays,…

Noise defined as ‘a sensation of unwanted intensity of a wave’, is perception of a pollutant and a type of environmental stressor. The unwanted intensity of a wave is a propagation of noise due to transmission of waves (viz. physical agents) such as light, sound, heat, electricity, fluid and fire. The characterization of noise interference,…

Feature extraction is taking a very vital and essential part of bio-signal processing. We need to choose one of two paths to identify and select features in any system. The most popular track is engineering handcrafted, which mainly depends on the user experience and the field of application. While the other path is feature learning,…

Feature extraction is playing a significant role in bio-signal processing. Feature identification and selection has two approaches. The standard method is engineering handcraft which is based on user experience and application area. While the other approach is feature learning that based on making the system identify and select the best features suit the application. The…

With the aim of preventing hydro-geological risks and overcoming the problems of current rain gauges, this paper proposes a low-complexity and cost-effective video rain gauge. In particular, in this paper the authors propose a new approach to rainfall classification based on image processing and video matching process employing convolutional neural networks (CNN). The system consists…

Noise control is essential when applying speech recognition in noisy environments such as factories. In this study, a signal processing for noise cancellation is proposed by using a noise-insensitive bone-conducted speech signal together with an air-conducted speech signal. The speech signal is generally expressed by a nonlinear model. The extended Kalman filter is very famous…

The matters regarding speech signal processing and analyzing in terms of emotional states recognition were presented in this paper. An experiment was conducted to perform both objective and subjective emotional states recognition tests for Polish language.

Passive remote monitoring applications of underwater signal processing in a shallow water environment are an impactful area of research for environmental and marine-life monitoring. The majority of the sound source localization techniques require carefully placed synchronized hydrophone arrays, which can be complicated and hard to maintain. In this paper, we utilized the modal dispersions of…

The main contribution of this paper is the framework of Application Programming Interface (API) to be integrated on a smartphone app. The integration with algorithm that generates fingerprints from the method ST-PSD with several parameter configurations (Windows size, threshold, and sub-score linear combination coefficient). An approach capable of recognizing an audio piece of music with…

Advances in optimizing optical fiber communications have been on the rise these recent years due to the increasing demand for larger data bandwidths and overall better efficiency. Coherent optics have focused on many kinds of research due to its ability to transport greater amounts of information, have better flexibility in network implementations, and support different…

In this paper, a portable Frequency Modulated Continuous Wave (FMCW) radar system was designed and implemented for human movements and breathing detection. The radar operates with a frequency band ranges from 4.7 to 4.9GHz. The radar sub-systems were designed and simulated using up to date computer-aided-design tools before implementation. The Voltage Controlled Oscillators (VCO), high…

Neurological signals are generally very weak in amplitude and strongly noisy. As a result, one of the major challenges in neuroscience is to be able to eliminate noise and thus exploit the maximum amount of information contained in neurological signals (EEG…). In this paper, we aimed at studying the N400 wave of the Event-Related Potentials…

The basic processes like addition, subtraction can be done using various types of binary adders with dissimilar addition times (delay), area and power consumption in any digital processing applications. To minimize the Power Delay Product (PDP) of Digital Signal Processing (DSP) processors is necessary for high performance in Very Large Scale Integration (VLSI) applications. In…

Modern automobiles have been turning more and more into wireless sensor and communication networks. Accordingly, the number of radio systems is steadily increasing. Due to strict safety requirements, these radio systems need to be tested extensively for functionality and reliability, especially under poor radio channel conditions. Beside the large electrical size of cars at frequencies…

Voice problems are routinely assessed in hospital voice clinics by speech and language therapists (SLTs) who are highly skilled in making audio-perceptual evaluations of voice quality. The evaluations are often presented numerically in the form of five-dimensional ‘GRBAS’ scores. Computerised voice quality assessment may be carried out using digital signal processing (DSP) techniques which process…

There is a growing interest in using radio frequency in imaging for problem solving in situational awareness, surveillance, search and rescue operations, and screening for security. This has been fetched from recent development in addition to innovative technologies in microwave radar imaging applications. Despite the fact that no new phenomenology is exposed in this field,…

Recently, the field of prosthetics has seen many accomplishments especially with the integration of technological advancements. In this paper, different arm types (robotic, surgical, bionic, prosthetic and static) are analyzed in terms of resistance, usage, flexibility, cost and potential. Most of these techniques have some problems; they are extremely expensive, hard to install and maintain…

Objective: Individuals with aphasia often experience significant problems in their daily lives and social participation. Technologies that address speech and language disorders deficit in merging between therapist’s major role and reinforcing the training between sessions at home. It also lacks the Arabic language attention; however, current systems are typically expensive and lack amusement. Moreover, cumulative…

The study proposed a self-driven guidance walker through user-oriented integration design. The common two-wheel drive performs left and right turn. By reducing the weight of the walker body, the durability of the battery can be increased. Secondly, we use a foldable structure so that the walker can be conveniently stored in a small space. A…