NOVEL ADAPTIVE FILTERING TECHNIQUE FOR THE PROCESSING OF ELECTROGASTROGRAM

The electrogastrogram measured cutaneously by attaching electrodes to the abdominal skin contains considerable noise. An attempt is made to develop an efficient adaptive filtering technique suitable for real time processing of electrogastrogram. A novel technique combining both adaptive noise cancellation and adaptive signal enhancement in a single recurrent neural network is proposed. To compare its performance, adaptive noise cancellation and cascaded connection of adaptive noise cancellation and adaptive signal enhancement are employed. Recurrent neural networks using Real Time Recurrent Learning (RTRL) algorithm are employed for implementing the all the above systems. An attempt is made to alleviate the computational burden imposed by RTRL algorithm by employing pruning of weights.

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Real time implementation of adaptive noise cancellation

2008 IEEE International Conference on Electro/Information Technology ◽

10.1109/eit.2008.4554341 ◽

2008 ◽

Cited By ~ 11

Author(s):

Gaurav Saxena ◽

Subramaniam Ganesan ◽

Manohar Das

Keyword(s):

Real Time ◽

Noise Cancellation ◽

Adaptive Noise Cancellation ◽

Adaptive Noise

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Implementation of Adaptive Noise Canceller System for Audio-Related Applications

International Journal on Measurement Technologies and Instrumentation Engineering ◽

10.4018/ijmtie.2013100105 ◽

2013 ◽

Vol 3 (4) ◽

pp. 51-67

Author(s):

Swati S. Godbole ◽

Sanjay B. Pokle

Keyword(s):

Adaptive Filtering ◽

Noise Cancellation ◽

Mean Square ◽

Least Mean Square ◽

Adaptive Noise Cancellation ◽

Noise Component ◽

Wide Range ◽

Adaptive Noise ◽

Adaptive Noise Canceller ◽

Filtering Techniques

This paper describes the performance of Adaptive Noise Cancellation system. Basic concept of adaptive noise canceller is to process signals from two input sources and to reduce the level of undesired noise with adaptive filtering techniques. Adaptive filtering techniques play vital role in wide range of applications. An implementation of adaptive noise cancellation system is used to remove undesired noise from a received signal for various audio related applications that has been developed and implemented by MATLAB. The dual channel adaptive noise cancellation system uses an adaptive filter with least mean square algorithm to cancel noise component from primary signal picked up by primary sensor. Various parameters such as convergence behavior, tracking ability of the algorithm, signal to noise ratio, mean square error etc. of ANC system are studied, analyzed for various applications of adaptive noise cancellation and the same are discussed in this paper.

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The Adaptive Filtering Algorithms for Engine’s Noise Cancellation in Speech Signals

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.130-134.1323 ◽

2011 ◽

Vol 130-134 ◽

pp. 1323-1326

Author(s):

Xiu Ying Zhao ◽

Hong Yu Wang ◽

De You Fu ◽

Hai Shen Zhou

Keyword(s):

Adaptive Filtering ◽

Signal To Noise Ratio ◽

Noise Cancellation ◽

Speech Signals ◽

Adaptive Noise Cancellation ◽

Signal To Noise ◽

Least Mean Squares ◽

Signal Noise ◽

Filtering Algorithm ◽

Adaptive Noise

The presence of noise superimposed on a signal limits the receiver’s ability to correctly identify the intended signal. The principal of adaptive noise cancellation is to acquire an estimation of the unwanted interfering signal and subtract it from the corrupted signal. Noise cancellation operation is controlled adaptively with the target of achieving improved signal to noise ratio. This paper describes the Least Mean Squares (LMS) adaptive filtering algorithm. The algorithm was implemented in Matlab and was tested for noise cancellation in speech signals.

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Real-Time Robust Heart Rate Estimation From Wrist-Type PPG Signals Using Multiple Reference Adaptive Noise Cancellation

IEEE Journal of Biomedical and Health Informatics ◽

10.1109/jbhi.2016.2632201 ◽

2018 ◽

Vol 22 (2) ◽

pp. 450-459 ◽

Cited By ~ 29

Author(s):

Sayeed Shafayet Chowdhury ◽

Rakib Hyder ◽

Md. Samzid Bin Hafiz ◽

Mohammad Ariful Haque

Keyword(s):

Heart Rate ◽

Real Time ◽

Noise Cancellation ◽

Adaptive Noise Cancellation ◽

Rate Estimation ◽

Adaptive Noise ◽

Multiple Reference ◽

Heart Rate Estimation

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Adaptive Noise Cancellation for speech Employing Fuzzy and Neural Network

Iraqi Journal for Electrical And Electronic Engineering ◽

10.37917/ijeee.7.2.2 ◽

2011 ◽

Vol 7 (2) ◽

pp. 94-101

Author(s):

Mohammed Miry ◽

Ali Miry ◽

Hussain Khleaf

Keyword(s):

Neural Network ◽

Adaptive Filtering ◽

Communication Systems ◽

Digital Signal ◽

Noise Cancellation ◽

Lms Algorithm ◽

Adaptive Noise Cancellation ◽

Long Distance ◽

Wide Range ◽

Adaptive Noise

Adaptive filtering constitutes one of the core technologies in digital signal processing and finds numerous application areas in science as well as in industry. Adaptive filtering techniques are used in a wide range of applications such as noise cancellation. Noise cancellation is a common occurrence in today telecommunication systems. The LMS algorithm which is one of the most efficient criteria for determining the values of the adaptive noise cancellation coefficients are very important in communication systems, but the LMS adaptive noise cancellation suffers response degrades and slow convergence rate under low Signal-to-Noise ratio (SNR) condition. This paper presents an adaptive noise canceller algorithm based fuzzy and neural network. The major advantage of the proposed system is its ease of implementation and fast convergence. The proposed algorithm is applied to noise canceling problem of long distance communication channel. The simulation results showed that the proposed model is effectiveness.

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