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27 articles for “random noise”
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Evaluation of Speech Recognition System for Security Purposes using Comparative Correlation Method
Abstract: Humans rely heavily on language for communication and most often, speech (oral) is one of the commonest means of communication. The speech recognition system is a smart system which grants access to users by recognizing the speech of the authorized user. Speech recognition is smart and precise in terms of authentication and validation. The problem with most security systems is imbalance pitch estimation, random noise and increment in theft due …
Published in Current Trends in Signal Processing · Vol. 12, Issue 3, 2022 · pp. 1–9 Read article
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Analysis of Discrete Wavelet Transform for Denoising of Breast CT Image
Abstract: During acquisition of medical images noise gets induced in the digital image by various effects. The state of art devices used for capturing the images introduces complex type of addition noise in the images. No medical imaging devices are noise free. The most commonly used medical images are acquired from MRI (Magnetic Resonance Imaging), CT (Computed Tomography) and X-ray equipment’s. Additive noise into medical image decreases the visual quality that …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 7, Issue 1, 2018 · pp. 27–31 Read article
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Adaptive Drift Correction in Polymer-Based Wearable Biosensors via Data-Driven Signal Modeling
Abstract: Polymer-based wearable biosensors have emerged as a promising technology for continuous health monitoring due to their mechanical flexibility, biocompatibility, and suitability for long-term physiological interfacing. However, prolonged exposure to biofluids, environmental variability, and mechanical deformation introduces signal drift, which significantly degrades measurement accuracy and limits clinical reliability. This paper presents a data-driven methodology for compensating signal drift in polymer-based wearable biosensors using adaptive signal processing and machine learning techniques. The …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 131–139 Read article
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Removal of Blotches and Impulse Noise in Gray Scale Images Using Non-linear Algorithm
Abstract: An image consists of artifact, which appears in an image that is actually not present in the original imaged object. An image artifact (noise) is sometimes the result of improper operation of the imager, and other times a consequence of natural processes or properties of the human body. Blotches (bulk noise) and impulses are the artifacts where blotch can be either bright or dark spots and impulse can be salt …
Published in Current Trends in Signal Processing · Vol. 4, Issue 3, 2014 · pp. 22–27 Read article
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Design and Implementation of Low Power and High Speed 10T SRAM with High SNM
Abstract: The project introduces a low standby power 10T (LP10T) SRAM cell that focuses on achieving high read stability and write-ability while minimizing power consumption. The LP10T SRAM cell utilizes a strong cross-coupled structure that combines a standard inverter with a stacked transistor and a Schmitt-trigger inverter with a double-length pull-up transistor. One of the key advantages of the LP10T SRAM cell is that it separates the read path from the …
Published in Journal of Microcontroller Engineering and Applications · Vol. 10, Issue 1, 2023 · pp. 40–65 Read article
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A Reliable Low Standby Power 6T SRAM Cell
Abstract: The project introduces a low standby power 10T (LP10T) SRAM cell that focuses on achieving high read stability and write-ability while minimizing power consumption. The LP10T SRAM cell uses a robust cross-coupled design that combines a Schmitt-trigger inverter with a double-length pull-up transistor and a regular inverter with a stacking transistor. One of the key advantages of the LP10T SRAM cell is that it separates the read path from the …
Published in Journal of VLSI Design Tools and Technology · Vol. 13, Issue 1, 2023 · pp. 33–59 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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Randomized Latent Vectors for Enhanced Reinforcement Learning Exploration
Abstract: This paper investigates Random Latent Exploration (RLE), a novel reinforcement learning technique that enhances exploration using randomized latent vector conditioning. I evaluate RLE’s performance across various environments, including discrete control tasks (FourRoom), continuous control (IsaacLab), and complex visual domains (Atari games). The core approach augments traditional reward functions with intrinsic rewards, calculated as the dot product between state features and periodically resampled latent vectors. The policy and value networks are …
Published in Current Trends in Signal Processing · Vol. 15, Issue 3, 2025 · pp. 19–25 Read article
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Online Change Detection Algorithm Based on the Continuous Wavelet Transform, the CUSUM Algorithm and an Autoregressive Model
Abstract: In this article, we present a change point detection algorithm based on the continuous wavelet transform, the CUSUM algorithm and an autoregressive model. At the beginning of the article, we describe a necessary transformation of a signal which has to be made for the purpose of change detection. Then case study related to iron ore sinter production which can be solved using our proposed technique is discussed. After that, we …
Published in Current Trends in Signal Processing · Vol. 1, Issue 1-3, 2025 · pp. 17–29 Read article
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BER Improvement in Fading Conditions Using QAM
Abstract: AbstractThe future mobile network requires huge capacity, coverage, energy efficiency and spectral efficiency. In different fading conditions, like Gaussian noise channel, Rician fading and Rayleigh fading conditions, higher order QAM can improve spectral efficiency by improving bit error rate. Additive white Gaussian noise model describes the effect of random processes in nature. Rayleigh distribution has static time varying nature on the receiver side. The envelope of Rician fading is small …
Published in Trends in Opto-electro & Optical Communication · Vol. 7, Issue 2, 2017 · pp. 1–6 Read article
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Development of Random Pulse Width Modulation in Power Electronics Converter
Abstract: With the new advancement in power electronic devices the high frequency system can often causes acoustic noise, mechanical vibration, EMI related problems in inverter-fed AC machine due to harmonics content in voltage and current waveforms which makes operator feel uncomfortable to work. Proposed work deals with one of the Pulse Modulation Technique, Random Pulse Width Modulation (RPWM), which is a new and effective technique to let the inverter-fed ac motor …
Published in Journal of Microelectronics and Solid State Devices · Vol. 3, Issue 1, 2016 · pp. 1–8 Read article
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DDoS Detection Using Cascade Correlation for Improving Network Resources in Cloud Environment
Abstract: Intrusion detection is critical for protecting network security from emerging cyber threats. This study describes a unique intrusion detection system (IDS) based on the Random Forest algorithm. Random Forests are used as an effective classifier to identify patterns linked with malevolent behaviour. This technique uses Random Forests to improve the accuracy and efficiency of intrusion detection systems. The suggested methodology's value is shown by its performance on the benchmark KDD …
Published in International Journal of Wireless Security and Networks · Vol. 3, Issue 2, 2025 · pp. 17–22 Read article
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Reduce Harmonic Distortion using Pseudorandom PWM Technique
Abstract: Due to harmonic content in the voltage and current wave forms in the power electronic devices working at high frequencies cause mechanical vibrations, acoustic noise, and EMI interference makes the workers uncomfortable. Proposed work deals with a new and effective technique to possess low acoustic noise and mechanical vibration when lower switching frequency is chosen. Pseudo random pulse width modulation the new established technique is used to eliminate this undesirable …
Published in Journal of Microcontroller Engineering and Applications · Vol. 3, Issue 2, 2016 · pp. 8–13 Read article
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Perceptual Features Based Continuous Speech Recognition in Additive Noise Environment Using Various Modelling Techniques
Abstract: The main objective of this paper is to discuss the effectiveness of Mel frequency perceptual features and the noise reduction technique in evaluating the performance of multi speaker independent continuous speech recognition system in additive noise environment by using various modelling techniques. The proposed perceptual features are captured and trained using clustering technique, GMM, continuous density HMM and back propagation neural networks. Speech recognition system is evaluated on clean and …
Published in Current Trends in Signal Processing · Vol. 2, Issue 1-3, 2012 · pp. 67–81 Read article
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Designing and Testing of various types of SRAM topologies with 90nm Technology
Abstract: VLSI technology provides a way for designing compact devices which are useful to human for leading their day to day, the advancement in the technology provides high speed and power consuming appliances. In this category, intend to design an application with high data rate and low power, memory efficient device and Static Random-Access Memory (SRAM) is structured. Improvement in the technology comprises of scaling down the design process and impact …
Published in Journal of Electronic Design Technology · Vol. 13, Issue 1, 2022 · pp. 12–16 Read article
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A Review on CAPTCHAs in Use with Focus on Their Existing Vulnerabilities Concerning Web Security
Abstract: Over last decades or so, CAPTCHAs (Completely Automated Public Turing test to tell Computers and Humans Apart)are used to differentiate between humans and bots. In spite of the fact that numerous choices of CAPTCHAs are presented in later a long time but still text-based CAPTCHAs are most predominant among all other choices on the web. CAPTCHA has been broadly utilized over web to guard against assaults from pernicious bots and …
Published in Journal Of Network security · Vol. 9, Issue 1, 2021 · pp. 1–10 Read article
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Performance and Analysis of 6T, 8T & 10T SRAM Cell in 28nm Technology
Abstract: Technology scaling into deep sub-micron regimes has significantly increased the design challenges of Static Random Access Memory (SRAM), particularly at the 28 nm technology node. As transistor dimensions shrink, SRAM cells become more vulnerable to stability degradation, leakage current, process variations, and reduced noise margins, which adversely affect overall memory performance and reliability. The conventional 6T SRAM cell remains widely used due to its compact structure and high storage density; …
Published in Journal of VLSI Design Tools and Technology · Vol. 16, Issue 2, 2026 · pp. 12–18 Read article
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Implementing Machine Learning in Data Classification
Abstract: Data classification forms an essential aspect of artificial intelligence (AI) and soft computing, helping a great deal in the transformation of raw data into knowledge that forms the basis of numerous applications, such as fraud detection, medical diagnostics, and natural language processing. This study discusses the challenges and the state of the art in data classification, as far as scalability, noise handling, and feature selection optimization are concerned. It gives …
Published in International Journal of Data Structure Studies · Vol. 3, Issue 2, 2025 · pp. 15–22 Read article
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Human Activity Recognition Using For Smartphone Sensors To Predict The Best Accuracy Based On Machine Learning Algorithms
Abstract: Human activity recognition requires predicting the action of a person based on sensor-generated data. Due to the enormous number of applications possible by modern ubiquitous computing devices, it has sparked a lot of attention in recent years. It categorizes data into actions such as walking, sitting, standing, and lying. The accelerometer and gyroscope were used to generate the sensor data, and the sensor signals were pre-processed with noise filters. The …
Published in Recent Trends in Sensor Research & Technology · Vol. 9, Issue 1, 2022 · pp. 12–23 Read article
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Characterization of a Single-Ended Schmitt-Trigger based 9T SRAM Cell
Abstract: Data stability is a prime concern in submicron regime. This work presents a single-ended Schmitt- trigger (ST) based 9T static random-access memory (SRAM) cell. Proposed design provides enhanced read stability as it uses ST based inverters. Low power dissipation is achieved by employing just a single bit line. Simulation is carried out on gpdk 180nm CMOS technology on Cadence. Proposed design offers 1.36x improvement in read static noise margin (RSNM) …
Published in Journal of Microelectronics and Solid State Devices · Vol. 6, Issue 2, 2019 · pp. 26–31 Read article