| |
| |
Click the serial number on the left to view the details of the item. |
| # |
Author | Title | Accn# | Year | Item Type | Claims |
| 1 |
Chui, Charles K |
Kalman Filtering |
I09935 |
2017 |
eBook |
|
| 2 |
Chui, Charles K |
Kalman Filtering |
I07303 |
2009 |
eBook |
|
| 3 |
Chui, Charles K |
Kalman Filtering with Real-Time Applications |
I04036 |
1987 |
eBook |
|
| 4 |
Chui, Charles K |
Kalman Filtering |
I03988 |
1999 |
eBook |
|
| 5 |
Chui, Charles K |
Discrete H??? Optimization |
I03397 |
1997 |
eBook |
|
| 6 |
Chui, Charles K |
Linear Systems and Optimal Control |
I03180 |
1989 |
eBook |
|
| 7 |
Chui, Charles K |
Signal Processing and Systems Theory |
I02353 |
1992 |
eBook |
|
| 8 |
Chui, Charles K |
Kalman Filtering |
I02091 |
1991 |
eBook |
|
|
|
1.
  |
 |
| Title | Kalman Filtering : with Real-Time Applications |
| Author(s) | Chui, Charles K;Chen, Guanrong |
| Publication | Cham, Springer International Publishing, 2017. |
| Description | XVIII, 247 p. 34 illus : online resource |
| Abstract Note | This new edition presents a thorough discussion of the mathematical theory and computational schemes of Kalman filtering. The filtering algorithms are derived via different approaches, including a direct method consisting of a series of elementary steps, and an indirect method based on innovation projection. Other topics include Kalman filtering for systems with correlated noise or colored noise, limiting Kalman filtering for time-invariant systems, extended Kalman filtering for nonlinear systems, interval Kalman filtering for uncertain systems, and wavelet Kalman filtering for multiresolution analysis of random signals. Most filtering algorithms are illustrated by using simplified radar tracking examples. The style of the book is informal, and the mathematics is elementary but rigorous. The text is self-contained, suitable for self-study, and accessible to all readers with a minimum knowledge of linear algebra, probability theory, and system engineering. Over 100 exercises and problems with solutions help deepen the knowledge. This new edition has a new chapter on filtering communication networks and data processing, together with new exercises and new real-time applications |
| ISBN,Price | 9783319476124 |
| Keyword(s) | 1. APPLIED MATHEMATICS
2. ARTIFICIAL INTELLIGENCE
3. Communications Engineering, Networks
4. EBOOK
5. EBOOK - SPRINGER
6. ECONOMIC THEORY
7. Economic Theory/Quantitative Economics/Mathematical Methods
8. ELECTRICAL ENGINEERING
9. ENGINEERING MATHEMATICS
10. Mathematical and Computational Engineering
11. Mathematical Methods in Physics
12. Numerical and Computational Physics, Simulation
13. PHYSICS
|
| Item Type | eBook |
Multi-Media Links
Please Click here for eBook
Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I09935 |
|
|
On Shelf |
|
|
|
|
2.
 |
|
| Title | Kalman Filtering : with Real-Time Applications |
| Author(s) | Chui, Charles K;Chen, Guanrong |
| Publication | Berlin, Heidelberg, Springer Berlin Heidelberg, 2009. |
| Description | XIV, 230 p : online resource |
| Abstract Note | Kalman Filtering with Real-Time Applications presents a thorough discussion of the mathematical theory and computational schemes of Kalman filtering. The filtering algorithms are derived via different approaches, including a direct method consisting of a series of elementary steps, and an indirect method based on innovation projection. Other topics include Kalman filtering for systems with correlated noise or colored noise, limiting Kalman filtering for time-invariant systems, extended Kalman filtering for nonlinear systems, interval Kalman filtering for uncertain systems, and wavelet Kalman filtering for multiresolution analysis of random signals. Most filtering algorithms are illustrated by using simplified radar tracking examples. The style of the book is informal, and the mathematics is elementary but rigorous. The text is self-contained, suitable for self-study, and accessible to all readers with a minimum knowledge of linear algebra, probability theory, and system engineering |
| ISBN,Price | 9783540878490 |
| Keyword(s) | 1. APPLIED MATHEMATICS
2. ARTIFICIAL INTELLIGENCE
3. Communications Engineering, Networks
4. EBOOK
5. EBOOK - SPRINGER
6. ECONOMIC THEORY
7. Economic Theory/Quantitative Economics/Mathematical Methods
8. ELECTRICAL ENGINEERING
9. ENGINEERING MATHEMATICS
10. Mathematical and Computational Engineering
11. Mathematical Methods in Physics
12. Numerical and Computational Physics, Simulation
13. PHYSICS
|
| Item Type | eBook |
Multi-Media Links
Please Click here for eBook
Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I07303 |
|
|
On Shelf |
|
|
|
|
|
3.
|
|
| Title | Kalman Filtering with Real-Time Applications |
| Author(s) | Chui, Charles K;Chen, Guanrong |
| Publication | Berlin, Heidelberg, Springer Berlin Heidelberg, 1987. |
| Description | XV, 191 p : online resource |
| Abstract Note | Kalman filtering is an optimal state estimation process applied to a dynamic system that involves random perturbations. More precisely, the Kalman filter gives a linear, unbiased, and min?? imum error variance recursive algorithm to optimally estimate the unknown state of a dynamic system from noisy data taken at discrete real-time intervals. It has been widely used in many areas of industrial and government applications such as video and laser tracking systems, satellite navigation, ballistic missile trajectory estimation, radar, and fue control. With the recent development of high-speed computers, the Kalman filter has become more use?? ful even for very complicated real-time applications. lnspite of its importance, the mathematical theory of Kalman filtering and its implications are not well understood even among many applied mathematicians and engineers. In fact, most prac?? titioners are just told what the filtering algorithms are without knowing why they work so well. One of the main objectives of this text is to disclose this mystery by presenting a fairly thor?? ough discussion of its mathematical theory and applications to various elementary real-time problems. A very elementary derivation of the filtering equations is fust presented. By assuming that certain matrices are nonsingular, the advantage of this approach is that the optimality of the Kalman filter can be easily understood. Of course these assump?? tions can be dropped by using the more well known method of orthogonal projection usually known as the innovations approach |
| ISBN,Price | 9783662025086 |
| Keyword(s) | 1. EBOOK
2. EBOOK - SPRINGER
3. LASERS
4. Mathematical Methods in Physics
5. Numerical and Computational Physics, Simulation
6. Optics, Lasers, Photonics, Optical Devices
7. PHOTONICS
8. PHYSICS
|
| Item Type | eBook |
Multi-Media Links
Please Click here for eBook
Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I04036 |
|
|
On Shelf |
|
|
|
|
|
4.
|
|
| Title | Kalman Filtering : with Real-Time Applications |
| Author(s) | Chui, Charles K;Chen, Guanrong |
| Publication | Berlin, Heidelberg, Springer Berlin Heidelberg, 1999. |
| Description | XIV, 230 p : online resource |
| Abstract Note | Kalman Filtering with Real-Time Applications presents a thorough discussion of the mathematical theory and computational schemes of Kalman filtering. The filtering algorithms are derived via different approaches, including a direct method consisting of a series of elementary steps, and an indirect method based on innovation projection. Other topics include Kalman filtering for systems with correlated noise or colored noise, limiting Kalman filtering for time-invariant systems, extended Kalman filtering for nonlinear systems, interval Kalman filtering for uncertain systems, and wavelet Kalman filtering for multiresolution analysis of random signals. The last two topics are new additions to this third edition. Most filtering algorithms are illustrated by using simplified radar tracking examples. The style of the book is informal, and the mathematics is elementary but rigorous. The text is self-contained, suitable for self-study, and accessible to all readers with a minimum knowledge of linear algebra, probability theory, and system engineering |
| ISBN,Price | 9783662038598 |
| Keyword(s) | 1. APPLIED MATHEMATICS
2. ARTIFICIAL INTELLIGENCE
3. Communications Engineering, Networks
4. EBOOK
5. EBOOK - SPRINGER
6. ECONOMIC THEORY
7. Economic Theory/Quantitative Economics/Mathematical Methods
8. ELECTRICAL ENGINEERING
9. ENGINEERING MATHEMATICS
10. Mathematical and Computational Engineering
11. Mathematical Methods in Physics
12. Numerical and Computational Physics, Simulation
13. PHYSICS
|
| Item Type | eBook |
Multi-Media Links
Please Click here for eBook
Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I03988 |
|
|
On Shelf |
|
|
|
|
|
5.
|
|
| Title | Discrete H??? Optimization : With Applications in Signal Processing and Control Systems |
| Author(s) | Chui, Charles K;Chen, Guanrong |
| Publication | Berlin, Heidelberg, Springer Berlin Heidelberg, 1997. |
| Description | XIII, 261 p : online resource |
| Abstract Note | Discrete H?? Optimization is concerned with the study of H?? optimization for digital signal processing and discrete-time control systems. The first three chapters present the basic theory and standard methods in digital filtering and systems from the frequency-domain approach, followed by a discussion of the general theory of approximation in Hardy spaces. AAK theory is introduced, first for finite-rank operators and then more generally, before being extended to the multi-input/multi-output setting. This mathematically rigorous book is self-contained and suitable for self-study. The advanced mathermatical results derived here are applicabel to digital control systems and digital filtering |
| ISBN,Price | 9783642591457 |
| Keyword(s) | 1. CALCULUS OF VARIATIONS
2. Calculus of Variations and Optimal Control; Optimization
3. Communications Engineering, Networks
4. COMPLEXITY
5. COMPUTATIONAL COMPLEXITY
6. EBOOK
7. EBOOK - SPRINGER
8. ELECTRICAL ENGINEERING
9. IMAGE PROCESSING
10. Mathematical Methods in Physics
11. PHYSICS
12. SIGNAL PROCESSING
13. Signal, Image and Speech Processing
14. Speech processing systems
15. SYSTEM THEORY
16. Systems Theory, Control
|
| Item Type | eBook |
Multi-Media Links
Please Click here for eBook
Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I03397 |
|
|
On Shelf |
|
|
|
|
|
6.
|
|
| Title | Linear Systems and Optimal Control |
| Author(s) | Chui, Charles K;Chen, Guanrong |
| Publication | Berlin, Heidelberg, Springer Berlin Heidelberg, 1989. |
| Description | VIII, 155 p. 1 illus : online resource |
| Abstract Note | A knowledge of linear systems provides a firm foundation for the study of optimal control theory and many areas of system theory and signal processing. State-space techniques developed since the early sixties have been proved to be very effective. The main objective of this book is to present a brief and somewhat complete investigation on the theory of linear systems, with emphasis on these techniques, in both continuous-time and discrete-time settings, and to demonstrate an application to the study of elementary (linear and nonlinear) optimal control theory. An essential feature of the state-space approach is that both time-varying and time-invariant systems are treated systematically. When time-varying systems are considered, another important subject that depends very much on the state-space formulation is perhaps real-time filtering, prediction, and smoothing via the Kalman filter. This subject is treated in our monograph entitled "Kalman Filtering with Real-Time Applications" published in this Springer Series in Information Sciences (Volume 17). For time-invariant systems, the recent frequency domain approaches using the techniques of Adamjan, Arov, and Krein (also known as AAK), balanced realization, and oo H theory via Nevanlinna-Pick interpolation seem very promising, and this will be studied in our forthcoming monograph entitled "Mathematical Ap?? proach to Signal Processing and System Theory". The present elementary treatise on linear system theory should provide enough engineering and mathe?? of these two subjects |
| ISBN,Price | 9783642613128 |
| Keyword(s) | 1. Business???Data processing
2. CALCULUS OF VARIATIONS
3. Calculus of Variations and Optimal Control; Optimization
4. COMPLEXITY
5. COMPUTATIONAL COMPLEXITY
6. EBOOK
7. EBOOK - SPRINGER
8. ECONOMIC THEORY
9. Economic Theory/Quantitative Economics/Mathematical Methods
10. GEOPHYSICS
11. Geophysics/Geodesy
12. INFORMATION TECHNOLOGY
13. IT in Business
14. SYSTEM THEORY
15. Systems Theory, Control
|
| Item Type | eBook |
Multi-Media Links
Please Click here for eBook
Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I03180 |
|
|
On Shelf |
|
|
|
|
|
7.
|
|
| Title | Signal Processing and Systems Theory : Selected Topics |
| Author(s) | Chui, Charles K;Chen, Guanrong |
| Publication | Berlin, Heidelberg, Springer Berlin Heidelberg, 1992. |
| Description | XI, 267 p : online resource |
| Abstract Note | "Signal Processing and Systems Theory" is concerned with the study of H-optimization for digital signal processing and discrete-time control systems. The first three chapters present the basic theory and standard methods in digital filtering and systems from the frequency-domain approach, followed by a discussion of the general theory of approximation in Hardy spaces. AAK theory is introduced, first for finite-rank operators and then more generally, before being extended to the multi-input/multi-output setting. This mathematically rigorous book is self-contained and suitable for self-study. The advanced mathematical results derived here are applicable to digital control systems and digital filtering |
| ISBN,Price | 9783642974069 |
| Keyword(s) | 1. CALCULUS OF VARIATIONS
2. Calculus of Variations and Optimal Control; Optimization
3. Communications Engineering, Networks
4. COMPLEXITY
5. COMPUTATIONAL COMPLEXITY
6. EBOOK
7. EBOOK - SPRINGER
8. ELECTRICAL ENGINEERING
9. Mathematical Methods in Physics
10. Numerical and Computational Physics, Simulation
11. PHYSICS
12. SYSTEM THEORY
13. Systems Theory, Control
|
| Item Type | eBook |
Multi-Media Links
Please Click here for eBook
Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I02353 |
|
|
On Shelf |
|
|
|
|
|
8.
| |
| Title | Kalman Filtering : with Real-Time Applications |
| Author(s) | Chui, Charles K;Chen, Guanrong |
| Publication | Berlin, Heidelberg, Springer Berlin Heidelberg, 1991. |
| Description | XVI, 195 p. 6 illus : online resource |
| Abstract Note | In addition to making a number of minor corrections and updat?? ing the references, we have expanded the section on "real-time system identification" in Chapter 10 of the first edition into two sections and combined it with Chapter 8. In its place, a very brief introduction to wavelet analysis is included in Chapter 10. Although the pyramid algorithms for wavelet decompositions and reconstructions are quite different from the Kalman filtering al?? gorithms, they can also be applied to time-domain filtering, and it is hoped that splines and wavelets can be incorporated with Kalman filtering in the near future. College Station and Houston Charles K. Chui September 1990 Guanrong Chen Preface to the First Edition Kalman filtering is an optimal state estimation process applied to a dynamic system that involves random perturbations. More precisely, the Kalman filter gives a linear, unbiased, and min?? imum error variance recursive algorithm to optimally estimate the unknown state of a dynamic system from noisy data taken at discrete real-time. It has been widely used in many areas of industrial and government applications such as video and laser tracking systems, satellite navigation, ballistic missile trajectory estimation, radar, and fire control. With the recent development of high-speed computers, the Kalman filter has become more use?? ful even for very complicated real-time applications |
| ISBN,Price | 9783662026663 |
| Keyword(s) | 1. APPLIED MATHEMATICS
2. Communications Engineering, Networks
3. EBOOK
4. EBOOK - SPRINGER
5. ECONOMIC THEORY
6. Economic Theory/Quantitative Economics/Mathematical Methods
7. ELECTRICAL ENGINEERING
8. ENGINEERING MATHEMATICS
9. Mathematical and Computational Engineering
10. Mathematical Methods in Physics
11. Numerical and Computational Physics, Simulation
12. PHYSICS
|
| Item Type | eBook |
Multi-Media Links
Please Click here for eBook
Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I02091 |
|
|
On Shelf |
|
|
|
| |