Realtime Multi-Person 2D Pose Estimation using Part Affinity Fields ∗ 源代码　open pose 实时人体姿态估计 caffe+python+matlab

optimal state estimation solution manual dan simon

Estimtion is the process of extracting information from data - data which can be used to infer the desired information and niay contain errors. Modern estimation methods use known relationships to compute the deslred information from the measurements. taking account of measurement errors, the effects of disturbances and control actions on the system, and prior knowledge of the information. Diverse measurements car! be blended to form "best" estimates, and information which is unavailable for measurement can be approximated in an optimal fashion. The intent of this book is to enable readers to achieve a level of competence that will permit their participation in the des~gn and evaluation of practical estimators. Therefore, the text is oriented to the applied rather than theoretical aspects of optimal estimation. It is our intent throughout to provide a simple and interesting picture of the central issues underlying modern estimation theory and practice. Heuristic, rather than theoretically elegant,arguments are used extensively, with emphasis on physical insights and key questlons of practical importance.

检测估计和调制理论Harry L.Van Trees 阵列处理技术的基础，电气工程学科国际知名教材

Offering an up-to-date account of the strategies utilized in state estimation of electric power systems, this text provides a broad overview of power system operation and the role of state estimation in overall energy management. It uses an abundance of examples, models, tables, and guidelines to clearly examine new aspects of state estimation, the testing of network observability, and methods to assure computational efficiency. Includes numerous tutorial examples that fully analyze problems posed by the inclusion of current measurements in existing state estimators and illustrate practical solutions to these challenges. Written by two expert researchers in the field, Power System State Estimation extensively details topics never before covered in depth in any other text, including novel robust state estimation methods, estimation of parameter and topology errors, and the use of ampere measurements for state estimation. It introduces various methods and computational issues involved in the formulation and implementation of the weighted least squares (WLS) approach, presents statistical tests for the detection and identification of bad data in system measurements, and reveals alternative topological and numerical formulations for the network observability problem.

DSST跟踪器，速度快，精度高，最关键的地方是精确的实现了尺度估计。

数字信号处理的很好教材（英文版） 详细介绍了同步，信道估计及信号处理的数学分析和应用。

《An Introduction to Signal Detection and Estimation》by H. Vincent Poor [Author]: H. Vincent Poor [Translator]: [ISBN]:0387941738 [Page]:398 pages [Dimensions]: [Publisher]:Springer; 2nd ed. 1994. Corr. 2nd printing edition [Date of publication]:(March 16, 1998) [File format]:PDF [Photo ofCover]: [Author]: IEEE Communications Magazine "Students will find the book a very useful, comprehensive, and accessible introduction to detection and estimation techniques...Renders the theories of the field accessible to an average graduate student...[also] a valuable addition to their library as a handy reference to key ideas and techniques." Mathematical Review "...many diagrams are used to illustrate how statistical procedures are implemented...The book is organized in a particularly nice and useful way. The level of mathematical difficulty rises very gradually...Great care is exercised to explain the meaning of each result..."

Bar shalom 经典原著， 是雷达跟踪，数据融合的经典书籍

Optimal Estimation of Dynamic Systems, Second Edition highlights the importance of both physical and numerical modeling in solving dynamics-based estimation problems found in engineering systems. Accessible to engineering students, applied mathematicians, and practicing engineers, the text presents the central concepts and methods of optimal estimation theory and applies the methods to problems with varying degrees of analytical and numerical difficulty. Different approaches are often compared to show their absolute and relative utility. The authors also offer prototype algorithms to stimulate the development and proper use of efficient computer programs. MATLAB(R) codes for the examples are available on the book's website. New to the Second Edition With more than 100 pages of new material, this reorganized edition expands upon the best-selling original to include comprehensive developments and updates. It incorporates new theoretical results, an entirely new chapter on advanced sequential state estimation, and additional examples and exercises. An ideal self-study guide for practicing engineers as well as senior undergraduate and beginning graduate students, the book introduces the fundamentals of estimation and helps newcomers to understand the relationships between the estimation and modeling of dynamical systems. It also illustrates the application of the theory to real-world situations, such as spacecraft attitude determination, GPS navigation, orbit determination, and aircraft tracking.