Xem 1-20 trên 548 kết quả Processing algorithms
  • How might one evaluate the In order to take steps towards establishing a methodology for evaluating Natural Language systems, we relative contributions of each of these factors or comconducted a case study. We attempt to evaluate two pare two approaches to the same problem? different approaches to anaphoric processing in disIn order to take steps towards establishing a course by comparing the accuracy and coverage of methodology for doing this type of comparison, we two published algorithms for finding the co-specifiers conducted a case study. ...

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  • With its active, hands-on learning approach, this text enables readers to master the underlying principles of digital signal processing and its many applications in industries such as digital television, mobile and broadband communications, and medical/scientific devices. Carefully developed MATLAB® examples throughout the text illustrate the mathematical concepts and use of digital signal processing algorithms.

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  • Details the latest image processing algorithms and imaging systems for image recognition with diverse applications to the military; the transportation, aerospace, information security, and biomedical industries; radar systems; and image tracking systems.This book presents important recent advances in sensors, image processing algorithms, and systems for image recognition and classification with diverse applications in military, aerospace, security, image tracking, radar, biomedical, and intelligent transportation.

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  • Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Research Article A Two-Microphone Noise Reduction System for Cochlear Implant Users with Nearby Microphones—Part I: Signal Processing Algorithm Design and Development

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  • Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Multisensor Processing Algorithms for Underwater Dipole Localization and Tracking Using MEMS Artificial

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  • Suitable for a one- or two-semester undergraduate-level electrical engineering, computer engineering, and computer science course in Discrete Systems and Digital Signal Processing. Assumes some prior knowledge of advanced calculus, linear systems for continuous-time signals, and Fourier series and transforms. Giving students a sound balance of theory and practical application, this no-nonsense text presents the fundamental concepts and techniques of modern digital signal processing with related algorithms and applications.

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  • John A. Shaw is a process control engineer and president of Process Control Solutions. An engineering graduate of N. C. State University, he previously worked for Duke Power Company in Charlotte, N. C. and for Taylor Instrument Company (now part of ABB, Inc.) in, N. Y. Rochester He is the author of over 20 articles and papers and continues to live in Rochester.

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  • This book is to examine the most important algorithms in use on today's computers and to teach the basic techniques with the increasing number who was interested in computer users becoming increasingly serious. It is appropriate for use as a textbook for a course Monday, Tuesday or Wednesday in the computer Science: After students have had some programming skills and familiarity computer system, but before they have advanced specialized courses field of computer science or computer applications.

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  • The Handbook of Image and Video Processing contains a comprehensive and highly accessible presentation of all essential mathematics, techniques, and algorithms for every type of image and video processing used by scientists and engineers. The timely volume will provide both the novice and the seasoned practitioner with the necessary information and skills to be able to develop algorithms and applications for multimedia, digital imaging, digital video, telecommunications, and World Wide Web industries.

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  • Over the course of roughly a year, after completing my first book, I resurrected an old pet project of building an autonomous submarine (referred to as the E-2 project) with certain fairly challenging functionality requirements. In the course of developing this idea, I spent many hours on the Internet and elsewhere, researching techniques for rapid development of various electromechanical control systems and platforms to run fairly complex signal-processing algorithms.

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  • Tham khảo tài liệu 'thuật toán algorithms (phần 1)', khoa học tự nhiên, toán học phục vụ nhu cầu học tập, nghiên cứu và làm việc hiệu quả

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  • Tham khảo sách 'the pid control algorithm - how it works, how to tune it, and how to use it', kỹ thuật - công nghệ, điện - điện tử phục vụ nhu cầu học tập, nghiên cứu và làm việc hiệu quả

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  • Tham khảo tài liệu 'thuật toán algorithms (phần 20)', khoa học tự nhiên, toán học phục vụ nhu cầu học tập, nghiên cứu và làm việc hiệu quả

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  • Algorithm is used to define the notion of decidability. It is a set of rules that precisely defines a sequence of operations. This is essential for computers to process information. Computer programs contain algorithms that detail specific instructions a computer should perform to carry out a specified task. The traditional computer program performs specific instructions sequentially, and uses crisp values of information which do not support uncertainties.

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  • Tham khảo sách 'thuật toán algorithms', tài liệu phổ thông, toán học phục vụ nhu cầu học tập, nghiên cứu và làm việc hiệu quả

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  • Tham khảo tài liệu 'thuật toán algorithms (phần 16)', khoa học tự nhiên, toán học phục vụ nhu cầu học tập, nghiên cứu và làm việc hiệu quả

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  • The second edition of "Model Predictive Control" provides a thorough introduction to theoretical and practical aspects of the most commonly used MPC strategies. It bridges the gap between the powerful but often abstract techniques of control researchers and the more empirical approach of practitioners. The book demonstrates that a powerful technique does not always require complex control algorithms. Many new exercises and examples have also been added throughout.

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  • The main thrust is to provide students with a solid understanding of a number of important and related advanced topics in digital signal processing such as Wiener filters, power spectrum estimation, signal modeling and adaptive filtering. Scores of worked examples illustrate fine points, compare techniques and algorithms and facilitate comprehension of fundamental concepts. Also features an abundance of interesting and challenging problems at the end of every chapter.

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  • Từ "algorism" và sau này trở thành "algorithm" được giải thích trong từ điển Webster đó như sau: là Nghệ thuật tính toán bởi chín chữ số và số không hoặc Tập hợp các qui tắc và thủ tục theo trật tự nhất định để giải quyết một vấn đề. Trở lại quá khứ xa hơn trong từ điển toán học Vollstandiges Mathematiesches Lexikon, Leipzig, 1747 có giải thích rằng algorithm là "tổ hợp của bốn phép toán số học bao gồm cộng, trừ, nhân, chia".

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  • BOOK DESCRIPTION This book offers a highly accessible introduction to Natural Language Processing, the field that underpins a variety of language technologies, ranging from predictive text and email filtering to automatic summarization and translation. With Natural Language Processing with Python, you’ll learn how to write Python programs to work with large collections of unstructured text. You’ll access richly-annotated datasets using a comprehensive range of linguistic data structures.

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