filtering and downsampling 233

Tài liệu Kalman Filtering and Neural Networks - Chapter 1: KALMAN FILTERS doc

... Wiley, 1986 [3] M.S Grewal and A.P Andrews, Kalman Filtering: Theory and Practice Englewood Cliffs, NJ: Prentice-Hall, 1993 [4] H.L Van Trees, Detection, Estimation, and Modulation Theory, Part ... where yk is the observable at time k and Hk is the measurement matrix The measurement noise vk is assumed to be additive, white, and Gaussian, with zero mean and with covariance matrix deﬁned by ... scalar random variables; generalization of the theory to vector random variables is a straightforward matter Suppose we are given the observable yk ¼ xk þ vk ; where xk is an unknown signal and vk...

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Tài liệu Kalman Filtering and Neural Networks P2 doc

Danh mục: Điện - Điện tử

... speed, mapping accuracy, generalization, and overall performance relative to standard backpropagation and related methods Amongst the most promising and enduring of enhanced training methods ... is also maintained and evolved The global EKF (GEKF) training algorithm was introduced by Singhal and Wu [2] in the late 1980s, and has served as the basis for the development and enhancement of ... experimental results and algorithm improvements,’’ in Proceedings of the 1998 IEEE Conference on Systems, Man and Cybernetics, Orlando, FL., pp 1639–1644 [14] L.A Feldkamp and G.V Puskorius, ‘‘Fixed...

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Tài liệu Kalman Filtering and Neural Networks P3 doc

Danh mục: Điện - Điện tử

... circle moving right and up; square moving right and down; triangle moving right and up; circle moving right and down; square moving right and up; triangle moving right and down Training was ... Cortex, 1, 1–47 (1991) [2] J.S Lund, Q Wu and J.B Levitt, ‘‘Visual cortex cell types and connections’’, in M.A Arbib, Ed., Handbook of Brain Theory and Neural Networks, Cambridge, MA: MIT Press, ... Lomber, P Girard and J Bullier, ´ ‘‘Cortical feedback improves discrimination between ﬁgure and background by V1, V2 and V3 neurons’’, Nature, 394, 784–787 (1998) [4] M.W Oram and D.I Perrett,...

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Tài liệu Kalman Filtering and Neural Networks P4 doc

Danh mục: Điện - Điện tử

... in D.A Rand and L.S Young, Eds Dynamical Systems and Turbulence, Warwick 1980, Lecture Notes in Mathematics Vol 898 1981, p 230 Berlin: Springer-Verlag [6] A.M Fraser, ‘‘Information and entropy ... x2 ðk þ 1Þ ¼ 1:0 þ mfx1 ðkÞ þ x2 ðkÞ cos½mðkÞg; ð4:6Þ where x1 and x2 are the real and imaginary components, respectively, of x and the parameter m is carefully chosen to be 0.7 so that the produced ... Note that A ¼ initialization and B ¼ one-step phase evaluation, the correlation dimension, Lyapunov exponents and Kolmogorov entropy of both the actual Ikeda series and the autonomously generated...

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Tài liệu Kalman Filtering and Neural Networks P5 pdf

Danh mục: Điện - Điện tử

... @x xk ^ D ð5:9Þ and where Rv and Rn are the covariances of vk and nk , respectively 5.2.2 EKF–Weight Estimation As proposed initially in [30], and further developed in [31] and [32], the EKF ... ð5:63Þ ^ where xkjN and pkjN are deﬁned as the conditional mean and variance of xk ^ ^ kjN given w and all the data, fyk gN The terms xÀ and pÀ are the conditional kjN mean and variance of xÀ ... Control, 24, 36–50 (1979) [4] M Niedzwiecki and K Cisowski, ‘‘Adaptive scheme of elimination of ´ broadband noise and impulsive disturbances from AR and ARMA signals,’’ IEEE Transactions on Signal...

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Tài liệu Kalman Filtering and Neural Networks P6 pdf

Danh mục: Điện - Điện tử

... of f and g and the noise covariances Given observations of the (no longer hidden) states and outputs, f and g can be obtained as the solution to a possibly nonlinear regression problem, and the ... matrices A and B multiplying inputs x and u, respectively; and an output bias vector b, and the noise covariance Q Each RBF is assumed to be a Gaussian in x space, with center ci and width given ... admit exact and efﬁcient inference (Here, and in what follows, we call a system linear if both the state evolution function and the state-to-output observation function are linear, and nonlinear...

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Tài liệu Kalman Filtering and Neural Networks P7 pptx

Danh mục: Điện - Điện tử

... position and velocity, and top and _ _ _ bottom pendulum angle and angular velocity, x ¼ ½x; x; y1 ; y1 ; y2 ; y2 The system parameters correspond to the length and mass of each pendulum, and the ... ﬁltering (CDF) techniques developed separately by Ito and Xiong [12] and Nørgaard, Poulsen, and Ravn [13] In [7] van der Merwe and Wan show how the UKF and CDF can be uniﬁed in a general family of derivativefree ... ¼ Ck ¼ @x @n D ^ xk ð7:29Þ n and where Rv and Rn are the covariances of vk and nk , respectively The noise means are denoted by n ¼ E½n and v ¼ E½v, and are usually assumed to equal zero...

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Tài liệu Finding, Filtering, and Sorting Rows in a DataTable ppt

Danh mục: Kỹ thuật lập trình

... "server=localhost;database=Northwind;uid=sa;pwd=sa" ); SqlCommand mySqlCommand = mySqlConnection.CreateCommand(); mySqlCommand.CommandText = "SELECT TOP 10 ProductID, ProductName " + "FROM Products ... filter and sort rows, and you'll learn how to that in Chapter 13, "Using DataView Objects." Listing 11.3 shows a program that finds, filters, and sorts DataRow objects Listing 11.3: FINDFILTERANDSORTDATAROWS.CS ... OrderID and ProductID of 10248 and 11, respectively: object[] orderDetails = new object[] { 10248, 11 }; DataRow orderDetailDataRow = orderDetailsDataTable.Rows.Find(orderDetails); Filtering and...

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Tài liệu Kalman Filtering and Neural Networks - Chapter 4: CHAOTIC DYNAMICS pdf

Danh mục: Hóa học - Dầu khí

... in D.A Rand and L.S Young, Eds Dynamical Systems and Turbulence, Warwick 1980, Lecture Notes in Mathematics Vol 898 1981, p 230 Berlin: Springer-Verlag [6] A.M Fraser, ‘‘Information and entropy ... x2 ðk þ 1Þ ¼ 1:0 þ mfx1 ðkÞ þ x2 ðkÞ cos½mðkÞg; ð4:6Þ where x1 and x2 are the real and imaginary components, respectively, of x and the parameter m is carefully chosen to be 0.7 so that the produced ... Note that A ¼ initialization and B ¼ one-step phase evaluation, the correlation dimension, Lyapunov exponents and Kolmogorov entropy of both the actual Ikeda series and the autonomously generated...

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Tài liệu Kalman Filtering and Neural Networks - Chapter 5: DUAL EXTENDED KALMAN FILTER METHODS docx

Danh mục: Hóa học - Dầu khí

... @x xk ^ D ð5:9Þ and where Rv and Rn are the covariances of vk and nk , respectively 5.2.2 EKF–Weight Estimation As proposed initially in [30], and further developed in [31] and [32], the EKF ... ð5:63Þ ^ where xkjN and pkjN are deﬁned as the conditional mean and variance of xk ^ ^ kjN given w and all the data, fyk gN The terms xÀ and pÀ are the conditional kjN mean and variance of xÀ ... Control, 24, 36–50 (1979) [4] M Niedzwiecki and K Cisowski, ‘‘Adaptive scheme of elimination of ´ broadband noise and impulsive disturbances from AR and ARMA signals,’’ IEEE Transactions on Signal...

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Tài liệu Kalman Filtering and Neural Networks - Chapter 6: LEARNING NONLINEAR DYNAMICAL SYSTEMS USING THE EXPECTATION– MAXIMIZATION ALGORITHM doc

Danh mục: Hóa học - Dầu khí

... of f and g and the noise covariances Given observations of the (no longer hidden) states and outputs, f and g can be obtained as the solution to a possibly nonlinear regression problem, and the ... matrices A and B multiplying inputs x and u, respectively; and an output bias vector b, and the noise covariance Q Each RBF is assumed to be a Gaussian in x space, with center ci and width given ... admit exact and efﬁcient inference (Here, and in what follows, we call a system linear if both the state evolution function and the state-to-output observation function are linear, and nonlinear...

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Tài liệu Kalman Filtering and Neural Networks - Chapter VII: THE UNSCENTED KALMAN FILTER pdf

Danh mục: Hóa học - Dầu khí

... position and velocity, and top and _ _ _ bottom pendulum angle and angular velocity, x ¼ ½x; x; y1 ; y1 ; y2 ; y2 The system parameters correspond to the length and mass of each pendulum, and the ... ﬁltering (CDF) techniques developed separately by Ito and Xiong [12] and Nørgaard, Poulsen, and Ravn [13] In [7] van der Merwe and Wan show how the UKF and CDF can be uniﬁed in a general family of derivativefree ... ¼ Ck ¼ @x @n D ^ xk ð7:29Þ n and where Rv and Rn are the covariances of vk and nk , respectively The noise means are denoted by n ¼ E½n and v ¼ E½v, and are usually assumed to equal zero...

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Tài liệu Kalman Filtering and Neural Networks - Contents pptx

Danh mục: Hóa học - Dầu khí

... Cherkassky and Mulier = LEARNING FROM DATA: Concepts, Theory, and Methods Diamantaras and Kung = PRINCIPAL COMPONENT NEURAL NETWORKS: Theory and Applications Haykin = KALMAN FILTERING AND NEURAL ... ALPHA-STABLE DISTRIBUTIONS AND APPLICATIONS Passino and Burgess = STABILITY ANALYSIS OF DISCRETE EVENT SYSTEMS Sanchez-Pena and Sznaler = ROBUST SYSTEMS THEORY AND ´ ˜ APPLICATIONS Sandberg, Lo, Fancourt, ... Implementation and Use = 64 References = 65 Learning Shape and Motion from Image Sequences 69 Gaurav S Patel, Sue Becker, and Ron Racine 3.1 Introduction = 69 3.2 Neurobiological and Perceptual...

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Tài liệu Filtering and Sorting Data pptx

Danh mục: Kỹ thuật lập trình

... Orders and Order Details table (the Country and EmployeeID fields, respectively) Additionally, the sample allows the data grid to be optionally sorted on the ContactName column The filter and sort ... DataTable(CUSTOMERS_TABLE); da.Fill(customersTable); ds.Tables.Add(customersTable); // Fill the Order table and add it to the DataSet da = new SqlDataAdapter("SELECT * FROM Orders", ConfigurationSettings.AppSettings["Sql_ConnectString"]); ... DataViewManager to the grid dataGrid.SetDataBinding(dvm, CUSTOMERS_TABLE); } Discussion The DataView filters and sorts the data in DataTable objects in the DataSet The DataViewManager can simplify working...

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REED: Robust, Efficient Filtering and Event Detection in Sensor Networks docx

Danh mục: Tổ chức sự kiện

... query filtering by nodeid and temperature might consist of the range [20-25] on temperature and the range [5-7] on nodeid; a different ERD might consist of the range [2330 ] on temperature and [1-3] ... alerted and appropriate action can be taken Such a query might look like: (1) SELECT a.atemp FROM schedule_table AS t, sensors AS a WHERE a.ts > t.tsmin AND a.ts < t.tsmax AND a.atemp > t.tempmin AND ... processor, a 38.6Kbps radio with ~100 foot range, 4KB of RAM and 512KB flash, runs on AA batteries and uses ~15 mA in active power consumption and ~10 µA when asleep Storage: The limited quantities...

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SMOOTHING, FILTERING AND PREDICTION: ESTIMATING THE PAST, PRESENT AND FuTuRE potx

Danh mục: Kĩ thuật Viễn thông

... Earl Bertrand Arthur William Russell Smoothing, Filtering and Prediction: Estimating the Past, Present and Future 14 The first term on the right-hand-side of (43) is independent of H(s) and represents ... Minimum-Mean-Square-Error Filtering Chapter Discrete-Time Minimum-Mean-Square-Error Filtering 25 Chapter Continuous-Time Minimum-Variance Filtering 49 Chapter Discrete-Time Minimum-Variance Prediction and Filtering ... following models and noise statistics (a) G(s)  (s  1) 1 , Q = and R = (b) G(s)  (s  2) 1 , Q = and R = (c) G(s)  (s  3) 1 , Q = and R = (d) G(s)  (s  4) 1 , Q = and R = (e) G(s)...

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Route Filtering and Route Selection in BGP docx

Danh mục: Quản trị mạng

... internal BGP and external BGP –Describe the AS path processing in internal BGP –Explain the need for BGP split horizon and its implications –Understand the next-hop processing in internal BGP and its ... internal BGP and external BGP –Describe the AS path processing in internal BGP –Explain the need for BGP split horizon and its implications –Understand the next-hop processing in internal BGP and its ... Bachkhoa Networking Academy Interactions Between BGP and IGP Ideally, there would be no interaction between BGP and IGP –BGP carries external and customer routes –IGP carries only core subnets...

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