METHOD FOR OPTIMAL EXTRAPOLATION OF RANDOM NON-STATIONARY SIGNALS AT BACKGROUND OF NOISE

• 1. 高背景噪声下高压直流输电线路电晕可听噪声的处理方法 [P] . 中国专利： CN104634443B . 2018.01.19
• 2. 高背景噪声下高压直流输电线路电晕可听噪声的处理方法 [P] . 中国专利： CN104634443A . 2015-05-20
• 3. RECURSIVE METHOD FOR OPTIMAL EXTRAPOLATION OF CHARACTERISTICS OF RANDOM NON-STATIONARY PROCESS AT BACKGROUND OF INTERFERENCES [P] . UA86555U . 2014-01-10

  机译： 干扰背景下随机非平稳过程特征的最优外推方法

• 4. NOISE BACKGROUND, APPARATUS FOR PROCESSING NOISE BACKGROUND, METHOD OF PROVIDING NOISE BACKGROUND PARAMETERS, METHOD OF PROVIDING SPECTRAL REPRESENTATION OF AUDIO SIGNAL NOISE BACKGROUND, COMPUTER PROGRAM AND ENCODED AUDIO SIGNAL [P] . 俄罗斯专利： RU2512103C2 . 2014-04-10

  机译： 噪声背景，处理噪声背景的设备，提供噪声背景参数的方法，提供音频信号噪声背景的频谱表示的方法，计算机程序和编码的音频信号

• 5. Method and apparatus for reducing random, continuous non-stationary noise in audio signals [P] . 美国专利： US7127072B2 . 2006-10-24

  机译： 用于减少音频信号中的随机，连续的非平稳噪声的方法和装置

• 1. The Reconstructing of Low Signal-noise Ratio Single Ion Channel Signal from Patch-clamp Recordings Sampled in the Colored Background Noise [J] . 高技术通讯（英文版） . 2002,第003期
• 2. THE METHOD OF SEPARATING HARMONIC SIGNALS FROM MULTIPLICATIVE AND ADDITIVE NOISES [J] . 电子科学学刊（英文版） . 2007,第006期
• 3. THE METHOD OF SEPARATING HARMONIC SIGNALS FROM MULTIPLICATIVE AND ADDITIVE NOISES [J] . Fan Yangyu, Zhang Zhengwei, Wei Xiaorong, 电子科学学刊：英文版 . 2007,第006期
• 4. THE CHAOTIC DETECTION OF PERIODIC SHORT-IMPULSE SIGNALS UNDER STRONG NOISE BACKGROUND [J] . Li Yue, Yang Baojun 电子科学学刊（英文版） . 2002,第004期
• 5. Detecting weak sinusoidal signals embedded in a non-stationary random broadband noise—A simulation study [J] . W.L. Lee, S.K. Tang, C.M. Chan Journal of Sound and Vibration . 2007,第3a5期
• 6. Discrimination of image signals on a background of bimodal Gaussoid pulsed noise, optimal by the combined-limitation criterion [J] . E. A. Samoĭlin Journal of Optical Technology . 2010,第4期
• 7. Discrimination of image signals on a background of bimodal Gaussoid pulsed noise, optimal by the combined-limitation criterion [J] . E. A. Samoilin Journal of optical technology . 2010,第4期
• 8. A trial of dynamical method for detecting acoustic signals contaminated by random background and wind-induced noises based on the information on wind velocities and its applications to the field measurement [C] . Kazutatsu Hatakeyama, Mitsuo Ohta システム制御情報学会研究発表講演会 . 2001
• 9. Signal detection with random backgrounds and random signals. [D] . Park, Subok. 2004
• 10. Generalized methods and solvers for noise removal from piecewise constant signals. I. Background theory [O] . Max A. Little, Nick S. Jones -1
• 11. A recursive method of optimal extrapolation of random non-stationary signals in background noise [O] . О. В. Андресв, В. О. Ігнатов, І. А. Жуков, 2011
• 12. Optimum Detection of Random Signal in Non-Gaussian Noise for Low Input Signal-to-Noise Ratio [R] . Nuttall, A. H. 2004

• 1. BACKGROUND： Vibrio vulnifi cus inside the body could activate the NF-!B signaling pathwayand initiate the inflammatory cascade. The lung is one of the earliest organs affected by sepsisassociated with acute lung injury. High mobility group protein B1 （HMGB1） is an important late-actingpro-infl ammatory cytokine involving in the pathophysiology of sepsis. It is also involved in the injuryprocess in the lung, liver and intestine. There has been no report on the involvement of HMGB1 inVibrio vulnifi cus sepsis-induced lung injury.METHODS： Sixty rats were randomly divided into a normal control group （group A, n=10） anda Vibrio vulnificus sepsis group （group B, n=50）. Sepsis was induced in the rats by subcutaneousinjection of Vibrio vulnificus （concentration 6×108 cfu/mL, volume 0.1 mL/100g）） into the left lowerlimbs. The rats in group B were sacrifi ced separately 1, 6, 12, 24, and 48 hours after the infection.Their lungs were stored as specimens, lung water content was measured, and lung pathology wasobserved under a light microscope. The expressions of the HMGB1 gene and protein in the lungswere detected by RT-PCR and Western blot. Data were analyzed with one-way analysis of variance（ANOVA） and the LSD method for pair-wise comparison between the two groups. P〈0.05 wasconsidered statistically signifi cant.RESULTS： Compared to group A （0.652±0.177）, HMGB1 mRNA expression in the lungs ofgroup B was signifi cantly higher at 0 hour （1.161±0.358, P=0.013）, 24 hours （1.679±0.235, P=0.000）,and 48 hours （1.258±0.274, P=0.004） （P〈0.05）, and peaked at 24 hours. Compared to group A（0.594±0.190）, HMGB1 protein expression at 6 hours （1.408±0.567, P=0.026） after infection wassignificantly increased （P〈0. 05）, and peaked at 24 hours （2.415±1.064, P=0.000） after infection.Compared to group A （0.699±0.054）, lung water content was significantly increased at 6 hours（0.759±0.030, P=0.001）,12 hours （0.767±0.023, P=0.000）, 24 hours （0.771±0.043, P=0.000） and 48hours （0.789±0.137, P=0.000） after infection （P〈0.05）. Compared to group A, pathological changesat 12 hours in group B indicate marked pulmonary vascular congestion, interstitial edema andinfl ammatory infi ltration. Alveolar cavity collapse and boundaries of the alveolar septum could not beclearly identifi ed.CONCLUSION： Vibrio vulnifi cus sepsis can lead to injury in rat lungs, and increased HMGB1expression in lung tissue may be one of the mechanisms for injury from Vibrio vulnifi cus sepsis. [J] . Qiao-meng Qiu ,Zhong-wang Li ,Lu-ming Tang . 世界急诊医学杂志(英文) . 2011,第4期
• 2. 基于随机共振理论的强噪声背景下微弱信号检测方法研究 [C] . 李天云 ,王鸿懿 ,魏安平 . 中国高等学校电力系统及其自动化专业第20届学术年会 . 2004
• 3. 相关噪声下的最优投资问题：风险敏感随机控制方法 [A] . 杨乐 . 2020