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Solid-State Power Electronics, Image Processing for Remote Sensing, Integrated Circuit Test Engineering

Introduction to Solid-State Power Electronics
The vocabulary of power electronics may result from reading or listening, experience has shown that relatively little useful learning (defined as the acquisition of new skills) occurs in this way. The problems at the end of each chapter are the “meat” of the text. These problems seek to illustrate important results while encouraging the reader to think and analyze in terms of broadly applicable physical principles. They seek to avoid both routine “formula plugging” and excessive mathematical grinding. Once power electronics has penetrated your “awareness barrier,” hopefully you will be aroused to continue your involvement with the field, becoming a contributor to the profession as well as a benefactor from the technology.
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Image Processing for Remote Sensing
Satellites are in image forms and thus image processing has been used most often, signal processing can contribute significantly in extracting information from the remotely sensed waveforms or time series data. In contrast to other books in this field which deal almost exclusively with the image processing for remote sensing, this book provides a good balance between the roles of
signal processing and image processing in remote sensing. The book covers mainly methodologies of signal processing and image processing in remote sensing. Emphasis is thus placed on the mathematical techniques which we believe will be less changed as compared to sensor, software and hardware technologies. Furthermore, the term ‘‘remote
sensing’’ is not limited to the problems with data from satellite sensors. Other sensors which acquire data remotely are also considered. Thus another unique feature of the book is the coverage of a broader scope of the remote sensing information processing problems than any other book in the area. The book is divided into two parts [now published as separate volumes under the following titles]. Part I, Signal Processing for Remote Sensing, has 12 chapters and Part II comprising the present volume], Image Processing for Remote Sensing, has 16 chapters. The chapters are written by leaders in the field. We are very fortunate, for example, to have Dr. Norden Huang, inventor of the Huang–Hilbert transform, along with Dr. Steven Long, to write a chapter on the application of the transform to remote sensing problem, and Dr. Enders A. Robinson, who has made many major contributions to geophysical signal processing for over half a century, to write a chapter on the basic problem of constructing seismic images by ray tracing
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Integrated Circuit Test Engineering: Modern Techniques

Allow for failures to be identified and the causes of the failures to be fedback to design and fabrication for appropriate corrective action to be undertaken in order to eliminate the sources of the identified failures, and reduce the risk of faulty devices being passed onto the customer. Determine and guarantee the operating specifications that will be required by the end-user Provide the means to evaluate the operation of the design over a range of operating conditions that may be encountered in a final application. Provide insight into a design development activity from concept through to implementation in order to ensure that the design can be adequately tested once it has been manufactured/fabricated. Ensure devices that contain circuit faults due to problems with either the design or fabrication are not perceived as “good devices”.
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