Bias-compensated constrained least mean square adaptive filter algorithm for noisy input and its performance analysis

2019 ◽  
Vol 84 ◽  
pp. 26-37 ◽  
Author(s):  
Wenyuan Wang ◽  
Haiquan Zhao ◽  
Lu Lu ◽  
Yi Yu
Keyword(s):  
Performance Analysis ◽  
Adaptive Filter ◽  
Mean Square ◽  
Least Mean Square ◽  
Noisy Input

Improved least mean square adaptive filter algorithm

2013 ◽  
Vol 32 (7) ◽  
pp. 2078-2081
Author(s):  
Cheng-xi WANG ◽  
Yi-an LIU ◽  
Qiang ZHANG
Keyword(s):  
Adaptive Filter ◽  
Mean Square ◽  
Least Mean Square

scholarly journals FPGA based least mean square algorithm for noise cancellation in communication system

2018 ◽  
Vol 7 (3.3) ◽  
pp. 165
Author(s):  
Praveen Reddy ◽  
Dr Baswaraj Gadgay
Keyword(s):  
Adaptive Filter ◽  
Communication System ◽  
Noise Cancellation ◽  
Mean Square ◽  
Least Mean Square ◽  
Distributed Arithmetic ◽  
Negative Effect ◽  
Least Mean Square Algorithm ◽  
Design Comparison

We present modified Distributed Arithmetic (DA) based architecture for LMS Adaptive filter which has improved the throughput of the filter also area and power has been comparatively been reduced. As we know, the adaptive filter uses continuous recalculation and generation of new coefficients will generate the negative effect on the use of algorithm. We have used a special temporary LUT addressing technique has overcome the issues resulting in better performance and good results. In this paper, we have discussed about the adaptive filter and implementation of DA adaptive filter and also discussed the results obtained from the design. Comparison with traditional de-sign has also been done to show the effectiveness of the algorithm.   

scholarly journals Identical Instruments Detection using Least Mean Square Based Adaptive Filter

2019 ◽  
Vol 1201 ◽  
pp. 012013
Author(s):  
M Sa’adah ◽  
D P Wulandari ◽  
Y K Suprapto
Keyword(s):  
Adaptive Filter ◽  
Mean Square ◽  
Least Mean Square
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