An integrated FIR adaptive filter design by hybridizing canonical signed digit (CSD) and approximate booth recode (ABR) algorithm in DA architecture for the reduction of noise in the sensor nodes

IF 1.7 4区 工程技术 Q2 COMPUTER SCIENCE, THEORY & METHODS Multidimensional Systems and Signal Processing Pub Date : 2021-06-17 DOI:10.1007/s11045-021-00783-y
N. Arumugam, B. Paramasivan
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为了降低传感器节点中的噪声,采用DA结构中的正则符号数(CSD)和近似booth重码(ABR)混合算法设计了一种集成FIR自适应滤波器
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来源期刊
Multidimensional Systems and Signal Processing
Multidimensional Systems and Signal Processing 工程技术-工程:电子与电气
CiteScore
5.60
自引率
8.00%
发文量
50
审稿时长
11.7 months
期刊介绍: Multidimensional Systems and Signal Processing publishes research and selective surveys papers ranging from the fundamentals to important new findings. The journal responds to and provides a solution to the widely scattered nature of publications in this area, offering unity of theme, reduced duplication of effort, and greatly enhanced communication among researchers and practitioners in the field. A partial list of topics addressed in the journal includes multidimensional control systems design and implementation; multidimensional stability and realization theory; prediction and filtering of multidimensional processes; Spatial-temporal signal processing; multidimensional filters and filter-banks; array signal processing; and applications of multidimensional systems and signal processing to areas such as healthcare and 3-D imaging techniques.
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