NOC:Industrial Automation and Control(Course sponsored by Aricent) - Study24x7
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NOC:Industrial Automation and Control(Course sponsored by Aricent)
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NOC:Industrial Automation and Control(Course sponsored by Aricent)
by Prof S Mukhopadhyay

This course provides an overall exposure to the technology of Industrial Automation and Control as widely seen in factories of all types both for discrete and continuous manufacturing. The course, in 40 lectures, discusses a wide range of related topics from the advantage and architecture of automation systems, measurement systems including sensors...

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Program Fee
FREE
About This Course

This course provides an overall exposure to the technology of Industrial Automation and Control as widely seen in factories of all types both for discrete and continuous manufacturing. The course, in 40 lectures, discusses a wide range of related topics from the advantage and architecture of automation systems, measurement systems including sensors...

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Course Curriculum
1 Sections | 30 Lecture | 25h 56min total length
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NOC:Industrial Automation and Control(Course sponsored by Aricent)

Estimation of Signals and Systems

| 25h 56min total length
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    Introduction

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    Probability Theory

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    Random Variables

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    Function of Random Variable Joint Density

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    Mean and Variance

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    Random Vectors Random Processes

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    Random Processes and Linear Systems

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    Some Numerical Problems

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    Miscellaneous Topics on Random Process

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    Linear Signal Models

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    Linear Mean Sq.Error Estimation

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    Auto Correlation and Power Spectrum Estimation

    45m <?php echo $alt; ?>
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    Z-Transform Revisited Eigen Vectors/Values

    52m <?php echo $alt; ?>
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    The Concept of Innovation

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    Last Squares Estimation Optimal IIR Filters

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    Introduction to Adaptive Filters

    47m <?php echo $alt; ?>
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    State Estimation

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    Kalman Filter-Model and Derivation

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    Kalman Filter-Derivation (Contd...)

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    Estimator Properties

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    The Time-Invariant Kalman Filter

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    Kalman Filter-Case Study

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    System identification Introductory Concepts

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    Linear Regression-Recursive Least Squares

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    Variants of LSE

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    Least Square Estimation

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    Model Order Selection Residual Tests

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    Practical Issues in Identification

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    Estimation Problems in Instrumentation and Control

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    Conclusion

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More Courses by Prof S Mukhopadhyay

Estimation of Signals and Systems

by Prof S Mukhopadhyay
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