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Publisher: STM Journals   (Total: 36 journals)   [Sort by number of followers]

Showing 1 - 36 of 36 Journals sorted alphabetically
Current Trends in Information Technology     Full-text available via subscription   (Followers: 3)
Current Trends in Signal Processing     Full-text available via subscription   (Followers: 5)
Emerging Trends in Chemical Engineering     Full-text available via subscription   (Followers: 4)
J. of Advancements in Library Sciences     Open Access   (Followers: 36)
J. of Aerospace Engineering & Technology     Full-text available via subscription   (Followers: 13)
J. of Alternate Energy Sources & Technologies     Full-text available via subscription   (Followers: 1)
J. of AYUSH :- Ayurveda, Yoga, Unani, Siddha and Homeopathy     Full-text available via subscription   (Followers: 9)
J. of Control & Instrumentation     Full-text available via subscription   (Followers: 11)
J. of Electronic Design Technology     Full-text available via subscription   (Followers: 6, SJR: 0.1, CiteScore: 0)
J. of Herbal Science     Full-text available via subscription   (Followers: 4)
J. of Industrial Safety Engineering     Full-text available via subscription   (Followers: 6)
J. of Materials & Metallurgical Engineering     Full-text available via subscription   (Followers: 1)
J. of Modern Chemistry & Chemical Technology     Open Access   (Followers: 3)
J. of Polymer & Composites     Full-text available via subscription   (Followers: 16)
J. of Power Electronics & Power Systems     Full-text available via subscription   (Followers: 10, SJR: 0.284, CiteScore: 1)
J. of Remote Sensing & GIS     Full-text available via subscription   (Followers: 21)
J. of VLSI Design Tools & Technology     Full-text available via subscription   (Followers: 5)
J. of Water Resource Engineering and Management     Full-text available via subscription   (Followers: 3)
OmniScience : A Multi-disciplinary J.     Full-text available via subscription   (Followers: 2)
Recent Trends In Civil Engineering & Technology     Full-text available via subscription   (Followers: 5)
Research & Reviews : A J. of Pharmacology     Full-text available via subscription   (Followers: 1)
Research & Reviews : A J. of Toxicology     Full-text available via subscription   (Followers: 4)
Research & Reviews : A J. of Life Sciences     Open Access  
Research & Reviews : J. of Agricultural Science and Technology     Full-text available via subscription  
Research & Reviews : J. of Botany     Full-text available via subscription   (Followers: 1)
Research & Reviews : J. of Crop Science and Technology     Full-text available via subscription   (Followers: 3)
Research & Reviews : J. of Dairy Science and Technology     Open Access   (Followers: 2)
Research & Reviews : J. of Ecology     Full-text available via subscription   (Followers: 2)
Research & Reviews : J. of Embedded System & Applications     Full-text available via subscription   (Followers: 5)
Research & Reviews : J. of Food Science and Technology     Open Access  
Research & Reviews : J. of Physics     Open Access   (Followers: 1)
Research & Reviews : J. of Space Science & Technology     Full-text available via subscription   (Followers: 10)
Research & Reviews : J. of Statistics     Open Access   (Followers: 6)
Research & Reviews : J. of Veterinary Science and Technology     Open Access   (Followers: 1)
Trends in Electrical Engineering     Full-text available via subscription   (Followers: 4)
Trends in Mechanical Engineering & Technology     Full-text available via subscription   (Followers: 3)
Journal Cover
Current Trends in Signal Processing
Number of Followers: 5  
  Full-text available via subscription Subscription journal
ISSN (Print) 2321-4252
Published by STM Journals Homepage  [36 journals]
  • Speaker Recognition System Through Matlab
    • Authors: Agrata Kumar, Anjali Sharma, Sharda Vashsith
      Abstract: This paper presents the work on the Speaker Recognition System through the MATLAB software. Speaker recognition means recognizing the person who is actually speaking rather than knowing what has been said. This system is widely used in banking, security systems, voice mail, etc. This paper presents three stages of the system, namely, the voice acquisition stage in which data (speech signal) is acquired from the speaker and is stored for the comparison. In the second stage, the data is acquired in the real time from the user. The third stage or the voice analysis stage, in which the comparison is done between the recorded data and the data acquired in real time to identify the speaker.
      PubDate: 2013-09-03
      Issue No: Vol. 3 (2013)
  • Application of Wavelet De-noising for Wind Speed Retrieval from a 2.5 MHz
           Partial Reflection
    • Authors: Debadatta Swain, N. V. P. Kiran Kumar, K. Kishore Kumar, Md. Mosarraf Hossain, M. Rajasekhar, Geetha Ramkumar
      Abstract: Atmospheric studies related to middle-atmospheric coupling, climate monitoring, steering profiles for expendable launch vehicles and re-entry missions require atmospheric wind profiles as an important input. Atmospheric wind profiling is conventionally carried out using rawinsondes and radiosondes flown in high altitude balloons, complemented by sounding rockets and ground-based radars. The partial reflection radar (PRR) can be effectively used for the same purpose to an altitude of about 100 km. But deriving wind profiles from radar samples is a difficult task due to contamination of radar signals by electromagnetic noise from various sources. In the present work, an attempt has been made to de-noise the signals from 2.5 MHz PRR located at Trivandrum (8.5º N, 76.9º E) using a novel wavelet de-noising technique. Comparison of signal to noise ratio (SNR) showed improvement of the order of ~ 2 dB on the average after applying the wavelet de-noising technique. This is a significant improvement given the high level of noise contamination in the signals received using the PRR. The wavelet de-noising technique was proved to be a useful tool for PRR signal de-noising compared to conventionally used threshold methods and can be operationalized for other such atmospheric Radars. 
      PubDate: 2013-09-03
      Issue No: Vol. 3 (2013)
  • Intelligent ECG Signal Noise Removal with Moving Median Filter Using
           Neural Network
    • Authors: Sonu Bittoliya, R. P. Narwaria
      Abstract: In this paper, the electrocardiogram (ECG) signal is susceptible to noise and artifact and it is essential to remove noise using neural network. The noise in order to support first 3600 of noisy heart signal is collected from MIT-BIH data base. In this paper, the use of average median filter and artificial neural network is analyzed. The available filters for power-line interference need a reference channel or regard that the frequency is fixed 50/60 Hz. In the literature of the last twenty-five years, several solutions for noise removal on electrocardiogram (ECG) signal can be found. The spectrum of the ECG signal is extracted from the two databases – arrhythmia and supraventricular. Baseline wander is removed using the average median filter. The results show that the intelligent artificial neural network system successfully de-noised ECG signal. This study mainly focuses on cutoff frequency calculating best performance MSE.
      PubDate: 2013-09-03
      Issue No: Vol. 3 (2013)
  • Design and Analysis of FIR Filter using Neural Network
    • Authors: Praveen Sharma, R. P. Narwaria
      Abstract: This paper is intended to provide an alternative approach for comparison of FIR digital filter by using neural network. This proposed approach establishes relation between (I) order and main width lobe of filter and (II) order and cutoff frequency of filter. In this paper is used FDA tool to design digital FIR filters of different orders and neural network tool box to compare different filters. As the simulation results show, the proposed neural-based method is capable of archiving a better performance for filter design. 
      PubDate: 2013-09-03
      Issue No: Vol. 3 (2013)
  • Facial Skin Condition Evaluation System using Texture Features
    • Authors: Monika Khatri, Sharda Vashisth
      Abstract: A facial skin condition evaluation system is described in this paper to make the users know their facial skin condition. Different kinds of texture features are calculated from the facial skin image. The contrast, deviation information, entropy and energy are calculated from the gray and blue parts of the image. The classified results are then compared with the cosmetician’s results. A group of 10 facial images has been tested under the experiments and then calculated results are compared with the cosmetician’s results.
      PubDate: 2013-09-03
      Issue No: Vol. 3 (2013)
  • Empirical Mode Decomposition versus Wavelet filtering for Time Domain
           Electromagnetic Signals
    • Authors: Rajesh Tikamchand Keshwani, Sanjay Malhotra, Yatindra Kumar Taly
      Abstract: Time Domain Electromagnetic (TDEM) methods are used for exploration of deep seated mineral deposits by measuring sub-surface conductivity of the earth. The response of earth is measured by an induction coil. The signals acquired are contaminated by variety of noises. Signal filtering plays a major role in order to obtain deeper information regarding subsurface conductivities. Various methods based on conventional DSP filters, wavelets, etc. have been attempted. This paper explains in short a methodology of Empirical mode decomposition by intrinsic mode functions. The potential of this technique for filtering TDEM signal is demonstrated, further a comparison of EMD technique with wavelet based filter is illustrated.
      PubDate: 2013-05-02
      Issue No: Vol. 3 (2013)
  • Wearable Computer Vision based Human Assistance System using Android 4.0.3
           ICS Operating System
    • Authors: Pritish Mahendra Vibhute, M A Sayyad
      Abstract: This paper describes a well defined and improved system for the human assistance, based on wearable computer vision using Android ICS operating system. The information is traditionally confined to paper or digitally to a screen; in contrast the proposed system introduces an Android tablet based wearable gestural interface to attempt for bringing information out into the tangible world. The system provides an extension to existing gesture interface system by integrating Android Operating system based wireless IP web camera. The system focuses on the Memory utilization, Computational time for various images from different sources. The system also elaborates peak CPU load with respect to the complexity of the connectivity and limited hardware. The proposed system well analyses the need of the technology for building the session between Android 4.0.3 ICS operating system and the traditional operating system at the user end. It also providing the structured analysis regarding the success rate, the resolution test and effect of different tools on the perspective of the Android 4.0.3 ICS based Operating system to improve the analytical parameters like processing time as well as response time. 
      PubDate: 2013-05-02
      Issue No: Vol. 3 (2013)
  • Combining Co-operative Diversity in Wireless Communication
    • Authors: Md.Arifur Rahman, Md. Khalilur Rahman, Dr. Azher O Khalil
      Abstract: Wireless devices cannot employ Multiple Input Multiple Output (MIMO) due to hardware or size limitation. Wireless device should replicate their single antenna virtually to act like MIMO system for better performance. This process is possible through a new system known as co-operative communication. In this system, the terminal or nodes combined to transmit the signals to follow an antenna array and form the diversity. Diversity is nothing but transfer of different samples of signal on independent channels. The users can increase their effective quality of service through the co-operative diversity. In this paper, diversity was realized through a third station other than the sender and the receiver. The destination gets the signal via this relay and also gets the signal directly from the source without the relay. The two signals were combined using different combining techniques like Maximum ratio combining, equal gain combining, and selective combining. In this paper the performance of these combining methods were examined. At the relay two relay protocols were examined along with the combining methods. In addition to this paper explained how the diversity was achieved by implementing the Alamouti scheme block coding in wireless relay along with amplify and forward protocol. Analysing the performance decode and forward protocol scheme with the repetition codes. For this a three node terminal system was considered with one source, one relay and one destination. The performance was simulated over the Rayleigh channel.
      PubDate: 2013-05-02
      Issue No: Vol. 3 (2013)
  • Performance Analysis of Speech Performance Analysis of Speech Recognition
           using Advanced Algorithm
    • Authors: Darshan Naishadhbhai Pandya, Dhruvik K Monpara, Yashpal V Javia, Dhaval C Gondaliya, Kenil J Desai, Ashish M Kothari
      Abstract: In this paper, the authors have worked on a speech processing technique wherein they took audio speech as input signal from user and by recognition process, they perceived recorded word. Specifically, the authors concentrated on the amplitude and zero cross of speech signal, and two of the most important and useful terms, namely MFCC and Mahalanobis distance, for the purpose of getting an efficient outcome. The authors evaluated the proposed method with some quality matrices of different speech signals and based on the results they concluded that the proposed method provides accurate process of speech recognition against various models for comparing speech processing. 
      PubDate: 2013-05-02
      Issue No: Vol. 3 (2013)
  • Interactive Projector: Application of MATLAB Embedded JAVA
    • Authors: Dhruvik K Monpara, Yashpal V Javia, Darshan N Pandya, Kenil J Desai, Dhaval C Gondaliya, Prof. Ashish M Kothari
      Abstract: In this paper, the authors have worked on a technique to convert a simple projector into an interactive projector by using a LASER pointer. For this, the authors specially concentrated on transformation, namely projective transformation, for calibration purpose, feature extraction of a color image for locating a pointer and java commands to perform mouse operations. The authors manipulated an interested part of a captured image and matched its coordinates with screen resolution. To locate a pointer, the authors decided different threshold values for intensity of color, which can be obtained by subtracting gray scale of original color image from interested color image. After finding pointer location, mouse operations are performed accordingly.
      PubDate: 2013-05-02
      Issue No: Vol. 3 (2013)
  • Sixth Sense Device
    • Authors: Pritish Mahendra Vibhute, Shitalkumar subhash Pawar, M A Sayyad
      Abstract: Development of user interfaces influences the changes in the human-computer interaction (HCI). Despite tremendous development in input devices, many people still find the interaction with computers an uncomfortable experience. Efforts should be made to adapt computers to our natural means of communication: speech and body language. Human hand gestures have been a mode of nonverbal interaction widely used. Naturalistic and intuitiveness of the hand gesture has been a great motivating factor for the researchers in the area of HCI to put their efforts to research and develop the more promising means of interaction between human and computers. The aim of this paper is to propose a real-time vision system within visual interaction with computer environments through hand gesture recognition, using general-purpose hardware and low-cost sensors, like a simple computer and an USB web camera, so any user could make use of it in his office or at home. The gesture recognition system uses image processing techniques for detection, segmentation, tracking and recognition of hand gestures for converting it to a meaningful command. The interface being proposed here can be substantially applied towards different applications like open the system calculator, watch, image browser, games, etc.
      PubDate: 2013-05-02
      Issue No: Vol. 3 (2013)
  • Blind Separation of Instantaneous Mixtures of Sources Using Stochastic
    • Authors: Ahmed abutaleb
      Abstract: Stochastic calculus methods are used to estimate the Nonstationary components of a linear mixture. Each component in the mixture is assumed to follow a stochastic differential equation with some unknown parameters. The estimation of the stochastic process parameters and the estimation of the unknown amplitudes of the mixture matrix, through Girsanov theory, will generate a stochastic equation for each unknown process. Several examples are given, and a comparison to existing methods is provided.
      PubDate: 2012-12-10
      Issue No: Vol. 3 (2012)
  • Perceptual Features Based Continuous Speech Recognition in Additive Noise
           Environment Using Various Modelling Techniques
    • Authors: Revathi Arunachalam, Y. Venkataraman
      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 noisy test speeches by using minimum distance criterion, maximum log likelihood criterion and minimum mean squared error criterion for these speech modelling techniques. Performance of these features is tested on speeches randomly chosen from “TIMIT” speech corpus. This algorithm provides 98.3, 90.8, 99.3 and 97.3% as accuracy for clean speech recognition system evaluated on GMM models and continuous density HMM models, Clustering models and neural network models respectively. Evaluation is done for 300 test speeches. System is also tested on noisy test speech by considering RLS and combination of RLS & wavelets as additional pre- processing techniques and the performance is found to be better than the testing without additional pre- processing. Noises such as babble, M109, white, destroyer engine, paper rustle, F16, factory and destroyerops are considered in this work and these are added to the test speeches at various levels and performance of the system is evaluated for 300 test speeches. Among the various modelling techniques, clustering technique and continuous density HMM technique are performing better for clean speech recognition and noisy speech recognition respectively. GMM and continuous density HMM along with additional pre-processing technique are performing better for noisy speech recognition even if the noise energy is greater than the signal energy.
      PubDate: 2012-12-10
      Issue No: Vol. 3 (2012)
  • Image Registration–Implementation and Performance Analysis using
           Log-polar Transformation
    • Authors: Yagnesh N. Makwana, Dr. Ajay K. Somkuwar
      PubDate: 2012-12-10
      Issue No: Vol. 3 (2012)
  • Modified Listless Set Partitioning in Hierarchical Trees (MLS) for Memory
           Constrained Image Coding Applications
    • Authors: Monauwer Alam, Ekram Khan, Bal Gopal
      Abstract: SPIHT image coding algorithm is a very effective state-of-art technique for compression of wavelet transformed images. However, the use of three continuously growing linked lists, limit its applications to achieve high quality images in memory constrained environments. The No List SPIHT (NLS) is an attempt to implement SPIHT algorithm without lists, but it uses 4 bits per coefficient state markers to keep track of significant/insignificant information of pixels/sets. This paper presents a listless implementation of SPIHT algorithm that uses state markers with only 2.5 bits/coefficients(on an average) to keep track of pixels, set and subsets information. Simulation results show that the proposed modified listless SPIHT (MLS) coder has nearly the same coding performance as that of SPIHT and NLS, but it requires significantly smaller memory compared to these coders. 
      PubDate: 2012-12-04
      Issue No: Vol. 3 (2012)
  • Spike Detection and Processing of TDEM Signals using Wavelet Transform
    • Authors: Rajesh Tikamchand Keshwani, Vikas Teotia, Gopal Joshi, Sanjay Malhotra, Y K Taly
      PubDate: 2012-12-04
      Issue No: Vol. 3 (2012)
  • Video Watermarking – Implementation and Performance Analysis of Combined
           DWT – SVD Approach
    • Authors: Ashish M Kothari, Ved Vyas Dwivedi
      PubDate: 2012-12-04
      Issue No: Vol. 3 (2012)
  • An Efficient Recursive Least Square (ERLS) Algorithm for Spectral
           Estimation with the Aid of Wavelet and Artificial Intelligence
    • Authors: Bommidi Sridhar, Gambala Kiranmaye, Dr. T. Srinivasulu
      Abstract: The spectral estimation technique is used for time frequency signal analysis, speech processing, and other signal processing applications. Some drawbacks of RLS algorithm are that it requires high computational power and the output obtained is numerically instability. So, the spectral efficiency of the signal is affected and a power error occurs in the estimator. In this paper, an efficient recursive least square (ERLS) algorithm is proposed for improving the power signal spectral estimation. The proposed ERLS algorithm is the combination of wavelet algorithm and artificial neural network (ANN). The wavelet algorithm is used to extract the frequency components of the power signal. Then, using the neural network, the power error of the linear and non-linear signals is determined. So, the complexity and computational time of spectral estimation are reduced. To analyze the estimation performance of ERLS algorithm, the capon and amplitude and phase estimation (APES) based spectral analysis methods are used. The spectral estimation capability of the proposed ERLS algorithm is determined by the error weight of the signal. The proposed ERLS algorithm is implemented in the MATLAB platform and the output performance are evaluated.
      PubDate: 2012-06-11
      Issue No: Vol. 3 (2012)
  • Analysis of Speech Using Different Methods
    • Authors: Prof. S. China Venkateswarlu, Dr. K. Satya Prasad, Dr. A. SubbaRami Reddy
      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 parts of speech. The results suggest that zero-crossing rates are low for voiced part and high for unvoiced part whereas the energy is high for voiced part and low for unvoiced part. Therefore, these methods are proved effective in separation of voiced and unvoiced speech.
      PubDate: 2012-06-11
      Issue No: Vol. 3 (2012)
  • The Estimation of Time-varying Parameters – A Malliavin Calculus
    • Authors: Ahmed Abutaleb
      Abstract: The Malliavin derivative of the Malliavin calculus is used to estimate the time-varying amplitudes that appear in the sum of signals or time-varying regression models. A closed form solution is obtained for the estimates of the time-varying amplitudes. The duality principle of the Malliavin calculus is then used to find a numerically tractable expression for the estimates. Given are examples and comparisons to existing methods.
      PubDate: 2012-06-11
      Issue No: Vol. 3 (2012)
  • Online Change Detection Algorithm Based on the Continuous Wavelet
           Transform, the CUSUM Algorithm and an Autoregressive Model
    • Authors: Sergei Yendiyarov, Boris Zobnin, Sergei Petrushenko
      PubDate: 2012-02-01
      Issue No: Vol. 3 (2012)
  • Optical Character Recognition of 10 × 10 Size Binary Images
    • Authors: Syed Muhammad Bilal, Ahmed Sibghatullah
      PubDate: 2012-02-01
      Issue No: Vol. 3 (2012)
  • Numerals Recognition for Urdu Script
    • Authors: Syed Muhammad Bilal, Ahmad Khalil Khan, Khadija Anam, Sobia Zafar
      Abstract: Optical Character Recognition is a difficult task due to complexities of the script and varying location of the character in the image. Characters of Urdu script based languages are even more difficult to recognize but they have not received much attention even when Urdu ranks sixth in top 10 most-spoken primary languages (181 million). The problem in numeral recognition in Urdu is the fact that curves and cusps of numerals vary from person to person. This paper presents two schemes for the recognition of numerals of Urdu in unconstrained environment. These two approaches are Feature Extraction & Correlation.
      PubDate: 2012-02-01
      Issue No: Vol. 3 (2012)
  • Principal Component Analysis Based Dominant Features Selection Method for
           Speaker Identification
    • Authors: Md. Ekramul Islam Hamid, Md. Khademul Islam Molla, Wade Ghribi
      Abstract: Cepstrum based features are mostly used in speaker identification. Mel-frequency cepstrum coefficients (MFCCs) and their statistical properties (skewness, kurtosis and standard deviation) are used in this paper for text-dependent speaker identification. Principal component analysis (PCA) is employed to select the dominant feature vector representing the speaker characteristics. Multi-layer neural network is used as the classification engine. There occurs the inter-speaker variation of speech length uttering the same word. The feature speaker specific vector of defined dimension is derived with PCA. The statistical properties of the selected features and the effects of the first MFCC are studied in terms of speaker identification performance and convergence speed of neural network as illustrated by the experimental results.
      PubDate: 2011-06-25
      Issue No: Vol. 3 (2011)
  • Localization Based Beamforming Approach to Audio Source Separation from
    • Authors: Md. Ekramul Hamid, Md. Khademul Islam Molla, Keikichi Hirose
      Abstract: This paper presents an approach of localization on the basis of audio source separation from binaural mixtures with adaptive beamforming. A new source localization technique is proposed to spatially localize the sources with two degrees of freedom (azimuth and elevation). We used a head related transfer function to synthesize the binaural mixture that introduces the interaural differences to the source signals. The interaural cues are technically employed to estimate the directions of arrival of the sound sources. Data independent minimum variance beamfilter is used to segregate the sources sequentially to overcome the underdetermined condition (more sources than sensors). We have presented the separation performance by human hearing experiment comparing the original and separated signals. The experimental results confirm the improved performance and show a noticeable efficiency in audio source separation using the proposed source localization technique.  
      PubDate: 2011-06-25
      Issue No: Vol. 3 (2011)
School of Mathematical and Computer Sciences
Heriot-Watt University
Edinburgh, EH14 4AS, UK
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Fax: +00 44 (0)131 4513327
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