Slope Filtering: An FIR Approach to Linear Regression

被引：12
|
作者：
Turner, Clay S.
机构：
[1] Pace-O-Matic, Inc., Norcross, GA
来源：
IEEE SIGNAL PROCESSING MAGAZINE | 2008年 / 25卷 / 06期
关键词：
Change estimation; Communications receiver carrier recovery; Digital signal processing; Estimation; Filtering; Finite impulse response filter; FIR approach; FIR filters; Linear regression; Oscillators; Receivers; Regression analysis; Signal processing; Signal transition; Slope filtering; Time domain analysis; Transition-polarity detection;
D O I：
10.1109/MSP.2008.929816
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
While developing a communications receiver, the author encountered a problem that was efficiently solved using a method called slope filtering, which is a novel application of the standard equations of linear regression. This article introduces the slope filtering process and its effective use in applications such as communications receiver carrier recovery, signal rate of change estimation, and signal transition and transition-polarity detection. © 2008 IEEE.
引用
收藏
页码：159 / +
页数：4
相关论文
共 50 条
  • [21] FIR Filtering for Discrete-Time Markov Jump Linear Systems
    Ji-Wei Wen
    Fei Liu
    Circuits, Systems, and Signal Processing, 2011, 30
  • [22] A linearly-constrained approach to the interpolated FIR filtering problem
    Resende, LS
    Rocha, CAF
    Bellanger, MG
    2000 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, PROCEEDINGS, VOLS I-VI, 2000, : 392 - 395
  • [23] Parallelism Test of Slope in a Several Simple Linear Regression Model based on a Sequential Slope
    Kim, Juhie
    Kim, Dongjae
    KOREAN JOURNAL OF APPLIED STATISTICS, 2013, 26 (06) : 1009 - 1018
  • [24] AN APPROACH TO NONLINEAR STATE ESTIMATION USING EXTENDED FIR FILTERING
    Zhao, Shunyi
    Pomarico-Franquiz, Juan
    Shmaliy, Yuriy S.
    2014 PROCEEDINGS OF THE 22ND EUROPEAN SIGNAL PROCESSING CONFERENCE (EUSIPCO), 2014, : 436 - 440
  • [25] A FIR FILTERING APPROACH FOR THE GENERATION OF SMOOTH CURVES ON A GRAPHICS TERMINAL
    SHLIEN, S
    ALLARD, P
    COMPUTER GRAPHICS AND IMAGE PROCESSING, 1981, 17 (03): : 269 - 280
  • [26] ESTIMATION OF BIAS IN CLASSICAL LINEAR-REGRESSION SLOPE WHEN APPROPRIATE MODEL IS FUNCTIONAL LINEAR-REGRESSION
    REED, AH
    BIOMETRICS, 1974, 30 (02) : 384 - 384
  • [27] ESTIMATION OF BIAS IN CLASSICAL LINEAR-REGRESSION SLOPE WHEN PROPER MODEL IS FUNCTIONAL LINEAR-REGRESSION
    REED, AH
    WU, GT
    COMMUNICATIONS IN STATISTICS PART A-THEORY AND METHODS, 1977, 6 (05): : 405 - 416
  • [28] A new uncertain linear regression model based on slope mean
    Wang, Shuai
    Ning, Yufu
    Shi, Hongmei
    Chen, Xiumei
    JOURNAL OF INTELLIGENT & FUZZY SYSTEMS, 2021, 40 (06) : 10465 - 10474
  • [29] Design of FIR-Type Filtering Algorithms for Markov Jump Linear Systems
    Zhao, Shunyi
    Zhu, Yuhang
    Ahn, Choon Ki
    Shi, Peng
    Liu, Fei
    IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2024, 54 (03): : 1853 - 1864
  • [30] COMPARING LS FIR FILTERING AND L-STEP AHEAD LINEAR PREDICTION
    PAPAODYSSEUS, CN
    CARAYANNIS, G
    KOUKOUTSIS, EB
    KAYAFAS, E
    IEEE TRANSACTIONS ON SIGNAL PROCESSING, 1993, 41 (02) : 768 - 780
12345