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Sharma N.,Electronics and Electrical Engineering | Anpalagan A.,Ryerson University
IET Communications | Year: 2013

This study presents a new technique for resource allocation in multiuser orthogonal frequency division multiplexing systems. The goal is to maximise the minimum data rate available to any user while minimising the total transmitted power. The strength Pareto evolutionary algorithm (SPEA-2) is used to achieve this goal. The SPEA-2 algorithm solves the contradicting multiple objectives by evaluating individual's fitness value based on the number of external non-dominated individuals that dominate it and then searching the solution space to minimise this fitness value. Most of the existing multi-objective solutions, for the problem under consideration, have used binary coded chromosomes which restricted the number of users to be in power of two only. This limitation is overcome in the proposed scheme by using an integer coded chromosome. The population density information is also incorporated into the fitness function to refine the search. Simulation results indicate that the proposed algorithm achieves higher data rates as compared with previous algorithms. Furthermore, the proposed scheme allocates both subcarriers and bits jointly, without being computationally expensive. The faster convergence of the algorithm to near-optimal value, as compared with previous algorithms is indicative of its reduced complexity, which is attributed to the modification in the power objective. © The Institution of Engineering and Technology 2013. Source


Ghosh M.,CNR Institute of Electronics, Computer and Telecommunication Engineering | Dhal M.,CNR Institute of Electronics, Computer and Telecommunication Engineering | Goel P.,Electronics and Communication Engineering | Kar A.,Electronics and Electrical Engineering | And 2 more authors.
Advances in Intelligent Systems and Computing | Year: 2016

Acoustic noise is an undesired disturbance that is present in the information carrying signal in telecommunication systems. The communication process gets affected because noise degrades the quality of speech signal. Adaptive noise reduction is a method of approximating signals distorted by additive noise signals. With no prior estimates of input or noise signal, the levels of noise reduction are attainable that would be difficult or impossible to achieve by other noise cancelling algorithms, which is the advantage of adaptive technique. Adaptive filtering before subtraction allows the treatment of inputs that are deterministic or stochastic, stationary or time variable. This paper provides an analysis of various adaptive algorithms for noise cancellation and a comparison is made between them. The strengths, weaknesses and practical effectiveness of all the algorithms have been discussed. This paper deals with cancellation of noise on speech signal using three existing algorithms—Least Mean Square algorithm, Normalized Least Mean Square algorithm and Recursive Least Square algorithm and a proposed algorithm —advanced Block Least Mean Square algorithm. The algorithms are simulated in Simulink platform. Conclusions have been drawn by choosing the algorithms that provide efficient performance with less computational complexity. © Springer India 2016. Source


Dhal M.,CNR Institute of Electronics, Computer and Telecommunication Engineering | Ghosh M.,CNR Institute of Electronics, Computer and Telecommunication Engineering | Goel P.,Electronics and Communication Engineering | Kar A.,Electronics and Electrical Engineering | And 2 more authors.
2015 International Conference on Advances in Computing, Communications and Informatics, ICACCI 2015 | Year: 2015

In recent times noise cancellation is a vital issue, as it is responsible for reducing undesired disturbances in the process of communication. Active Noise Cancellation (ANC) is the most effective technique to cancel noise. ANC has been an active area of research and various adaptive methodologies have been employed to achieve a better ANC scheme. In the ANC technique, the aim is to minimize the noise interference that corrupts the original signal. ANC has a broad variety of applications in common commercial products, industrial uses and other machinery. An analysis of the prevailing adaptive methodologies is necessary for future research as we need to know the demerits of all the prevailing adaptive methodologies in ANC. This paper provides an analysis of various adaptive algorithms for noise cancellation and a comparison is made between them. The strengths, weaknesses and practical effectiveness of all the algorithms have been discussed. This paper deals with cancellation of noise on speech signal using three existing algorithms- Least Mean Square (LMS) algorithm, Normalized Least Mean Square (NLMS) algorithm and Recursive Least Square (RLS) algorithm and a proposed algorithm- advanced Block Least Mean Square (BLMS) algorithm. The algorithms are simulated in MATLAB platform and a tabular comparison of the algorithms is drawn. Finally, conclusions have been drawn by choosing the algorithms that provide efficient performance with less computational complexity. © 2015 IEEE. Source


Behuria A.,CNR Institute of Electronics, Computer and Telecommunication Engineering | Mishra B.P.,CNR Institute of Electronics, Computer and Telecommunication Engineering | Goel P.,Electronics and Communication Engineering | Kar A.,Electronics and Electrical Engineering | And 2 more authors.
2015 International Conference on Advances in Computing, Communications and Informatics, ICACCI 2015 | Year: 2015

The priority of current era in noise cancellation field aims at blocking the low frequency noise since most real life noises operate below 1 KHz. The noise which creates obstruction in everyday communication needs to be dealt in an effective way. Acoustic Noise Cancellation (ANC) is hence regarded as most sought after solution. ANC has created its own niche in this field where a wide range of industrial and commercial products rely unanimously for rescue. While the traditional solutions like enclosures, barriers, etc. had shortcomings like large, costly, and ineffective at low frequency, the modern approaches envisaged noise being readily cancelled by continuous adaptation of adaptive filter. This change in stance accredits its success to the advent of suitable adaptive algorithms in ANC which blocks selectively with potential benefits in size, weight, volume, and cost. In this paper we look forward to provide an improved approach for ANC. After an initial analysis of existing Filtered x algorithms the mathematics of new proposed algorithm has been provided. The proposed algorithm is then applied to noise cancellation along with the existing FxLMS, FB-FxLMS algorithms and results of each process were produced to make a suitable comparison between the existing and proposed one. © 2015 IEEE. Source


Mishra B.,CNR Institute of Electronics, Computer and Telecommunication Engineering | Behuria A.,CNR Institute of Electronics, Computer and Telecommunication Engineering | Goel P.,Electronics and Communication Engineering | Kar A.,Electronics and Electrical Engineering | And 2 more authors.
Advances in Intelligent Systems and Computing | Year: 2016

The age of unmatchable technical expertise envisages noise cancellation as an acute concern, as noise is held responsible for creating hindrances in day to day communication. To overcome the noise present in the primary signal notable traditional methods surfaced over the passage of time being listed as noise barriers, noise absorbers, silencers, etc. The advanced modern day approach suppresses noise by continuous adaptation of filter weights of an adaptive filter. The change in approach was ground breaking that accredits its success to advent of adaptive filters which employs adaptive algorithms. The various premier noise cancellation algorithms include LMS, RLS etc. Further much coveted Normalized LMS, Fractional LMS, Differential Normalized LMS, Filtered-x LMS etc. ensued out of active framework in this field. The paper looks forward to provide an improved approach for noise cancellation in noisy environment using newly developed variants of Filtered x LMS (FxLMS) algorithm, Feedback FxLMS (FB-FxLMS). An initial detailed analysis of existing FXLMS algorithm and FB-FxLMS algorithm has been carried out along with the mathematics of the new proposed algorithm. The proposed algorithm is applied to noise cancellation and the results for each individual process were produced to make a suitable comparison between the existing and proposed one. © Springer India 2016. Source

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