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112 articles for “signal extraction”
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Call Quality Measurement and Application in Telecommunication Network
Abstract: The measurement of call quality from end-users’ perspective is emerging area of research on speech quality in telecommunication networks. The research is focused on deriving the call quality parameters from end-users’ perspective; and visualize and escalate the critical call quality. Also proses the method of redemption of call charges based on call quality parameters perceived. The research proposed and developed measures, for certain call parameters during the call and provide …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 3, Issue 1, 2016 · pp. 8–19 Read article
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Analysis of Speech Using Different Methods
Abstract: In speech analysis, the voiced-unvoiced decision is usually performed in extracting the information from the speech signals. In this paper, two methods are performed to separate the voiced and unvoiced parts of the speech signals. These are zero-crossing rate (ZCR) and energy. In here, we evaluated the results by dividing the speech sample into some segments and used the zero-crossing rate and energy calculations to separate the voiced and unvoiced …
Published in Current Trends in Signal Processing · Vol. 2, Issue 1-3, 2012 · pp. 11–25 Read article
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Assessment of Voltage Stability and Event Detection in Distribution Grid with Penetration of Renewable Energy Sources
Abstract: AbstractIn this paper we proposed a method which is based on FFT (Fast Fourier Transform) analysis for the assessment and detection of outage of renewable energy, islanding event and grid synchronization of renewable energy. The Voltage signals should be measured, and features extracted are realized to assess the power quality disturbance associated with various events. Operational events are detected with the help of features extracted from the FFT analysis of …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 7, Issue 3, 2020 · pp. 9–18 Read article
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Digital PID Chip Design and FPGA Synthesis
Abstract: The industrial applications follows the control operations based on closed loop system due to their stability and controllable desired response. The proportional-integral-derivative (PID) controller is one the most adopted controller in dynamic control systems. In some industries, specific PID controllers are used for particular control. The PID control is used for early days staring form mechanical and pneumatic designs, and its implantation is based on analog circuits using transistors. There …
Published in Recent Trends in Parallel Computing · Vol. 5, Issue 2, 2018 · pp. 13–19 Read article
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Speaker Identification using Hopfield Neural Network based Classifier
Abstract: The aim of this work is to enhance the performance of speaker identification using Hopfield neural network algorithm. Speech signals are collected from VALID Audio-Visual dataset and some speech signal pre-processing techniques are applied to process the speech to feed the Hopfield neural network algorithm. Filtering technique is applied to remove the noises from the speech signals. MFCC based standard speech feature extraction technique is used to extract the speech …
Published in Journal Of Network security · Vol. 3, Issue 2, 2015 · pp. 32–35 Read article
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Diffusion-Based Enhancement of Low-SNR Time- Frequency Signals
Abstract: Traditional enhancing techniques are useless in low signal-to-noise ratio (LSNR) situations because noise drastically interferes with communication signals. Based on an enhanced DiffBIR model, this paper suggests a dual-stage signal improvement approach that combines diffusion with deep learning. By combining the Inception module for multi-scale feature extraction with the Pixel Fusion Attention (PFA) module for significant region highlighting, the model improves signal recovery in the time- frequency domain. Experiments show …
Published in Current Trends in Signal Processing · Vol. 16, Issue 2, 2026 · pp. 15–27 Read article
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A Profound Analysis on Complex Multiclass BCI Signals Classification by an EEG Device
Abstract: With a major shift in the technology paradigm today in the area of deep learning and artificial intelligence, one of its important applications today is found in brain-computer interface (BCI). Brain computer-interface, also known as neural control interface or mind-machine interface is a device that helps a user to interact with a computer using only his brain-activity, which is measured usually by Electroencephalography (EEG). The usage of such mechanism has …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 8, Issue 1, 2021 · pp. 22–44 Read article
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Bandwidth Extension of Speech Signal Artificially & Transmission & Coding for Wireless Communication
Abstract: AbstractIn today’s next generation wireless communication, decoded speech quality at recipient side initiate quiet and slim; mainly recognized to intrinsic band limitation (300-3400 Hz). so as to increase clearness and genuineness of improved speech signal. Narrowband speech coders be supposed to promote to wideband coders supports bandwidth of 50-7000Hz. extensive time duration has been left for advancement from narrowband to fully wideband well-suited systems. Many smart devices at the present …
Published in Journal of Communication Engineering & Systems · Vol. 9, Issue 2, 2019 · pp. 111–116 Read article
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A Review on Different Techniques Used for Feature Extractions from Mammogram of Breast Cancer
Abstract: Breast cancer detection is still a complex and challenging problem. Mammogram contains low signal-to-noise ratio (SNR) and a complex structured background so identifying cancer tissues using this technique is a time consuming task even for expert radiologists. Therefore, there is still a need to enhance imaging in digital mammogram, where enhancement in medical imaging is the use of computers to make the image clearer. Studies show that relying on pure …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 1, Issue 3, 2014 · pp. 9–15 Read article
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A Review on Detection of Autism Spectrum Disorder Using Signal Processing
Abstract: AbstractAutism is a neural developmental disability associated with impairments in communication and social interaction; it can be detected by various methods such as Magnetic Resonance Imaging (MRI) and Electroencephalography (EEG). MRI is a technique which captures the image of various sections of brain. It is categorised as structural MRI (sMRI) and functional MRI (fMRI). The detection involves capturing the image, removing the unwanted regions of brain, segmenting the images and …
Published in Current Trends in Signal Processing · Vol. 8, Issue 2, 2018 · pp. 12–24 Read article
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Automatic Language Identification using Basic Signal Class
Abstract: Automatic language identification (ASLID) is a problem of identifying an unknown language from spoken utterance by a computer. A segmental approach to ASLID based on the assumption that the acoustic structure of languages can be estimated by segmenting speech into three basic classes of speech signals. This paper presents a procedure of ASLID with the details of methodology and the results without recognizing the words, but the lengths segments of …
Published in Trends in Electrical Engineering · Vol. 9, Issue 2, 2019 · pp. 12–19 Read article
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Retina Recognition System Using Wavelet based Neural Network Algorithm
Abstract: This paper presents an approach of wavelet feature-based retina recognition system using back-propagation learning neural network algorithm. After acquiring the retinal image, at first vessels were segmented from the image. Then the feature extraction was carried out by analyzing the segmented retinal image using multiresolution analysis through the wavelet-based approach. Then extracted features were fed to the back-propagation learning neural network algorithm to create the learned template which was used …
Published in Current Trends in Signal Processing · Vol. 5, Issue 2, 2015 · pp. 35–39 Read article
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Steady State Visual Evoked Potential Based Brain Computer Interface System
Abstract: The steady-state visual evoked potential (SSVEP) is a brain response that can be measured by an electroencephalogram (EEG) when a subject looks at periodic luminance- or contrast-modulated stimuli. In this study, flickering Light Emitting Diode (LED) is used as visual stimulation. Mostly, brain response is recorded using an electroencephalograph (EEG) and recorded in the brain's occipital lobe which is associated with human vision. The study encompasses key stages, beginning with …
Published in Current Trends in Signal Processing · Vol. 13, Issue 3, 2023 · pp. 35–43 Read article
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Digital Communication Receiver CMOS Chip Design
Abstract: RF receivers are such electronic devices that discrete radio signals from one another and transform specific signals into respective audio, video, or data formats. It uses an antenna to receive transmitted radio signals and a tuner to separate a specific signal from all of the other signals that the antenna receives. Detectors or demodulators at that moment extract information that was programmed formerly to transmission. There are numerous customs to …
Published in Recent Trends in Electronics Communication Systems · Vol. 1, Issue 3, 2014 · pp. 16–21 Read article
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A Review of TOR Technology in Cyber Security
Abstract: The cyberspace is becoming one of the main elements of vulnerability in national security and has led to a critical situation because the system is always more focused on information sharing and on quick communication all over the world than security. The concept behind the security of the data is the threat of the data corruption. Today, in this world, everything is getting digital and hence the need of more …
Published in Current Trends in Information Technology · Vol. 11, Issue 1, 2021 · pp. 26–30 Read article
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Bias Detection and Accuracy Enhancement in Voice-based Banking Authentication Using Deep Learning
Abstract: Biometric systems have become an integral part of how many people access banking services today, and voice verification systems can be a secure and easy-to-use source of banking authentication that does not require any physical contact with the bank or any other person. From the security perspective, these systems would normally provide an effective means of identifying an individual but frequently exhibit bias with respect to demographics such as the …
Published in International Journal of Information Security Engineering · Vol. 4, Issue 2, 2026 Read article
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SPICE Modeling of LDMOSFET Transistor
Abstract: AbstractHigh voltage integrated circuits, these days are the most viable alternatives to discrete circuits for various applications. The popular amongst them is the lateral double diffused MOS transistor (LDMOS). It is based on the lightly doped drain (LDD) concept. The constraint that occurred in modeling LDMOS is to minimize the on-resistance along with maintaining a high breakdown voltage. To achieve the objective, the help of RESURF (Reduced Surface Field) concept …
Published in Journal of Semiconductor Devices and Circuits · Vol. 3, Issue 1, 2016 · pp. 42–57 Read article
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Invisible Watermarking on RGB Image with the Combination of 7-DWT and SVD
Abstract: In this study, we present a powerful watermarking system based on seven level discrete wavelet transform and singular value decomposition for RGB picture where R signifies red color, G indicates green color and B means blue color. It provides improved security and performance in terms of mean square error, peak signal noise ratio, structural similarity matrix, normalized cross correlation and execution time. During the experiment, we increase peak signal noise …
Published in Journal of Open Source Developments · Vol. 2, Issue 3, 2015 · pp. 12–19 Read article
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Low-Power Reconfigurable Digital Filter Design Using FPGA for IoT Edge Devices
Abstract: The rapid evolution of the Internet of Things (IoT) has led to an exponential increase in the deployment of edge devices that continuously process real-time sensor data under strict power, latency, and computational constraints. Digital filtering remains a critical operation in these devices, supporting tasks such as noise removal, data conditioning, and feature extraction for intelligent decision-making. However, conventional filter implementations on microcontrollers or fixed digital signal processors often struggle …
Published in International Journal of VLSI Circuit Design & Technology · Vol. 3, Issue 2, 2025 · pp. 23–34 Read article
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Implementation of Human Gesture Recognition Using CNN
Abstract: A gesture popularity system based entirely on convolutional neural networks (CNNs). Preprocessing techniques include segmentation, polygonal approximation, contour construction, morphological filters, and resource characteristic extraction. Various convolutional neural networks are employed for training and testing, with results compared to existing architectures and protocols. All generated measurements and convergence graphs produced at any point during education are examined and contested in order to verify the reliability of the approach offered. Our …
Published in Journal of Control & Instrumentation · Vol. 15, Issue 2, 2024 · pp. 24–37 Read article