A Family of Adaptive Filter Algorithms in Noise Cancellation for Speech Enhancement

Hadei, Sayed A.; Lotfizad, Mojtaba

doi:10.7763/ijcee.2010.v2.153

Cited by 52 publications

(16 citation statements)

References 9 publications

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“…The RLS [82] recursively finds the filter coefficients that minimize a weighted linear least squares cost function relating to the input signals. RLS tracks the time variation of the process to the optimal filter coefficient with relatively very fast convergence speed; though it has increased computational complexity and stability problems as compared to LMS-based algorithms [83].…”

Section: Recursive Least Square (Rls) Algorithmmentioning

confidence: 99%

LMS Adaptive Filters for Noise Cancellation: A Review

Dixit¹,

Nagaria²

2017

IJECE

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This paper reviews the past and the recent research on Adaptive Filter algorithms based on adaptive noise cancellation systems. In many applications of noise cancellation, the change in signal characteristics could be quite fast which requires the utilization of adaptive algorithms that converge rapidly. Algorithms such as LMS and RLS proves to be vital in the noise cancellation are reviewed including principle and recent modifications to increase the convergence rate and reduce the computational complexity for future implementation. The purpose of this paper is not only to discuss various noise cancellation LMS algorithms but also to provide the reader with an overview of the research conducted.

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Section: Recursive Least Square (Rls) Algorithmmentioning

confidence: 99%

LMS Adaptive Filters for Noise Cancellation: A Review

Dixit¹,

Nagaria²

2017

IJECE

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“…In addition, an adaptive noise canceller was simulated to verify the efficiency of the newly developed ANFF. A new approach in noise cancellation was proposed in [15] in which two adaptive algorithms namely FAP (Fast Affine Projection) and FEDS (Fast Euclidean Direction Search) algorithms are employed for cancelling noise in speech signal. In addition, the obtained results are compared with the results obtained with RLS, LMS, NLMS (Normalized LMS) and AP (Affine Projection) algorithms.…”

Section: Related Workmentioning

confidence: 99%

Performance Analysis of Adaptive Noise Canceller Employing NLMS Algorithm

Afroz¹,

Huq²,

Sandrasegaran³

2015

IJWMN

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“…3 (3) Eq. 4 (4) is used by the adapting algorithm to calculate the updated coefficients [2], [7]. LMS algorithm is preferred for its simplicity and the convergence of filter depends on the step size, μ.…”

Section: ) Least Mean Square Algorithm (Lms)mentioning

confidence: 99%

Adaptive Algorithms Based Cross Talk Reduction Techniques Using Efficient Multipliers in VerilogHDL

Sivaraman¹,

Shukla²

2014

IJET

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Abstract-Crosstalk is a phenomenon by which signals from one channel interfere with the signals of another. In this work, we have investigated the applications of cross talk elimination in interferometer, telecommunications, biomedicine, etc. to improve the performance in these areas. This paper discusses the various algorithms and techniques used to reduce cross talk with their trade-offs. A novel technique is proposed based on performance parameters of different multipliers and FFT method for the analysis of the said algorithms. The hardware utilization of a filter using truncated multiplier is efficient as there is a reduction of 73.64% in hardware with respect to FFT method while with normal cascade network multiplier the reduction is 83.87%.Index Terms-Adaptive filter, cross talk, fast block least mean square algorithm, fast block least mean square algorithm with distributed arithmetic, FFT, FIR Filter, least Mean square, multipliers. I. INTRODUCTIONCrosstalk is the phenomenon by which a signal transmitted on one circuit or channel creates an undesired effect in another circuit or channel as shown in Fig. 1. Crosstalk elimination is necessary to increase Signal to Noise Ratio (SNR). It is the undesired effect caused by coupling capacitance of the network. As technology is decreasing in size, we find it all the more important to keep interferences like crosstalk at bay. Main elimination techniques involve the phenomenon of digital filtering. Filtering can be either IIR or FIR. According to S. Hernandez-Montero etal [1], an FFT based technique is also proposed which tends to show high performance than linear phase digital filtering for high optimization of FPGA based interferometry which is used to measure the line electron density in plasmas. Adaptive filtering is another field which explores cross talk reduction using different Manuscript received February 11, 2014; revised May 20, 2014 [3]. A study of different multipliers is done as it contributes to the complexity of any filter structure. Based on the performance analysis of these different filters, the desired structure is used to construct the said above elimination techniques and tradeoffs will be observed.This paper discusses the review on crosstalk reduction techniques and algorithm in Section II while Section III gives an idea regarding design simulation and analysis. Section IV deals with the proposed structure for cross talk elimination and Section V concludes our paper. II. CROSSTALK REDUCTION TECHNIQUES AND ALGORITHMS: A REVIEWAccording to the various research papers, we are concerned with the different reduction techniques based on filtering and FFT. Let us analyse the above said reduction techniques and their dependence on the various parameters involved.A. FIR Filter FIR filter or Finite Impulse Response filter is a type of digital filter where the filter response to inputs are finite as it settles to zero after a finite amount of time. FIR filters are bounded-input bounded-output (BIBO) stables since output is a sum of finite number of fin...

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A Family of Adaptive Filter Algorithms in Noise Cancellation for Speech Enhancement

Abstract: Abstract-

Cited by 52 publications

References 9 publications

LMS Adaptive Filters for Noise Cancellation: A Review

LMS Adaptive Filters for Noise Cancellation: A Review

Performance Analysis of Adaptive Noise Canceller Employing NLMS Algorithm

Adaptive Algorithms Based Cross Talk Reduction Techniques Using Efficient Multipliers in VerilogHDL

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