Signal and image processing

Xem 1-20 trên 97 kết quả Signal and image processing
  • The area of information fusion has grown considerably during the last few years, leading to a rapid and impressive evolution. In such fast-moving times, it is important to take stock of the changes that have occurred. As such, this books offers an overview of the general principles and specificities of information fusion in signal and image processing, as well as covering the main numerical methods

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  • CS 450: Introduction to Digital Signal and Image Processing - Image Arithmetic includes Image Arithmetic; Image Subtraction; Background Subtraction; Motion; Digital Subtraction Angiography; Multiplication; Alpha Blending; Image Averaging.

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  • CS 450: Introduction to Digital Signal and Image Processing - Introduction and Applications includes what are Signals? Why Signals? Alications; Kinds of Operations; Relationship to Other Fields (IP, Graphics, and Vision); BYU Research.

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  • In the last two decades, fractional (or non integer) differentiation has played a very important role in various fields such as mechanics, electricity, chemistry, biology, economics, control theory and signal and image processing. For example, in the last three fields, some important considerations such as modelling, curve fitting, filtering, pattern recognition, edge detection, identification, stability, controllability, observability and robustness are now linked to long-range dependence phenomena. Similar progress has been made in other fields listed here.

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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: Editorial Design and Architectures for Signal and Image Processing

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  • Discrete wavelet transform (DWT) algorithms have become standard tools for discrete-time signal and image processing in several areas in research and industry. As DWT provides both frequency and location information of the analyzed signal, it is constantly used to solve and treat more and more advanced problems. The present book: Discrete Wavelet Transforms: Theory and Applications describes the latest progress in DWT analysis in non-stationary signal processing, multi-scale image enhancement as well as in biomedical and industrial applications....

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  • This book is a collection of 19 excellent works presenting different applications of several MATLAB tools that can be used for educational, scientific and engineering purposes. Chapters include tips and tricks for programming and developing Graphical User Interfaces (GUIs), power system analysis, control systems design, system modelling and simulations, parallel processing, optimization, signal and image processing, finite different solutions, geosciences and portfolio insurance. Thus, readers from a range of professional fields will benefit from its content....

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  • Những nội dung chính được trình bày trong chương này gồm: Signal and Image processing, machine learning, multisim software, Kirchoff's Current Law(KCL) and Kirchoff's Voltage Law (KVL), circuit analysis. Mời các bạn cùng tham khảo.

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  • This is the first book in a three-volume series deploying MATLAB-based applications in almost every branch of science. This volume, presents interesting topics from different areas of engineering, signal and image processing based on the MATLAB environment. The book consists of 20 excellent, insightful articles and the readers will find the results very useful to their work. This collection of high quality articles, refers to a large range of professional fields and may be used for scientific, engineering and educational purposes....

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  • This chapter provides a brief introduction to the theory of morphological signal processing and its applications toimage analysis andnonlinear filtering.

    pdf32p nguyen4 17-11-2009 57 17   Download

  • Beginning with modest initial attempts in roughly the 1960s, digital image processing has become a recognized field of science, as well as a broadly accepted methodology, to solve practical problems in many different kinds of human activities. The applications encompass an enormous range, starting perhaps with astronomy, geology, and physics, via medical, biological, and ecological imaging and technological exploitation, up to the initially unexpected use in humane sciences, e.g., archaeology or art history.

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  • We live in a time when digital information plays a key role in various fields. Whether we look towards communications, industry, medicine, scientific research or entertainment, we find digital images to be heavily employed. The high volume of stored and transacted digital images, together with the increasing availability of advanced digital image acquisition and display techniques and devices, came with a growing need for novel, fast and intelligent algorithms for the digital manipulation of digital images....

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  • When teaching technical subject lab works play an important role, as important as exercise sessions in helping students assimilate thoery. The recent introductions of simulation tools has created a new way to work, halfway be- tween exercise sessions and lab works.

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  • The process of collecting and analyzing the data is critical in healthcare as it constitutes the basis for categorization of patient health problems. Data collected in medical practice ranges from free form text to structured text, numerical measurements, recorded signals, and imaging data.

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  • Find out how Adaptive is leading the market in innovative Adaptive Data Governance Accelerators™. Leveraging our industry leading metadata management capabilities, Adaptive shifts the focus from tools to people, highlighting the human dimension in comprehensive solutions that deliver value early and often.

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  • Moreover, the concept of \multimedia social networks" can be applied into the ¯eld of signal and image processing. If each pixel/sample is treated as a user, then the whole image/signal can be regarded as a multimedia social network. From such a perspective, we introduce a new paradigm for signal and image processing, and develop generalized and uni¯ed frameworks for classical signal and image prob- lems. In this thesis, we use image denoising and image interpolation as examples to illustrate how to use game theory to re-formulate the classical signal and image processing problems....

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  • In recent years, the remarkable advances in medical imaging instruments have increased their use considerably for diagnostics as well as planning and follow-up of treatment. Emerging from the fields of radiology, medical physics and engineering, medical imaging no longer simply deals with the technology and interpretation of radiographic images. The limitless possibilities presented by computer science and technology, coupled with engineering advances in signal processing, optics and nuclear medicine have created the vastly expanded field of medical imaging.

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  • This textbook introduces sparse and redundant representations with a focus on applications in signal and image processing. The theoretical and numerical foundations are tackled before the applications are discussed. Mathematical modeling for signal sources is discussed along with how to use the proper model for tasks such as denoising, restoration, separation, interpolation and extrapolation, compression, sampling, analysis and synthesis, detection, recognition, and more. The presentation is elegant and engaging.

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  • The purpose of The Electrical Engineering Handbook, 3rd Edition is to provide a ready reference for the practicing engineer in industry, government, and academia, as well as aid students of engineering.

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  • Fourier methods are commonly used for signal analysis and system design in modern telecommunications, radar, and image processing systems.

    pdf30p nguyen4 17-11-2009 73 14   Download

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