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Consequently

  • DIGITAL IMAGERY is pervasive in our world today. Consequently, standards for the efficient represen

    DIGITAL IMAGERY is pervasive in our world today. Consequently, standards for the efficient representation and interchange of digital images are essential. To date, some of the most successful still image compression standards have resulted from the ongoing work of the Joint Photographic Experts Group (JPEG). This group operates under the auspices of Joint Technical Committee 1, Subcommittee 29, Working Group 1 (JTC 1/SC 29/WG 1), a collaborative effort between the International Organization for Standardization (ISO) and International Telecommunication Union Standardization Sector (ITUT). Both the JPEG [1–3] and JPEG-LS [4–6] standards were born from the work of the JPEG committee. For the last few years, the JPEG committee has been working towards the establishment of a new standard known as JPEG 2000 (i.e., ISO/IEC 15444). The fruits of these labors are now coming to bear, as JPEG-2000 Part 1 (i.e., ISO/IEC 15444-1 [7]) has recently been approved as a new international standard.

    標(biāo)簽: Consequently efficient pervasive standards

    上傳時間: 2013-12-21

    上傳用戶:源弋弋

  • 了解模數(shù)轉(zhuǎn)換器的噪聲、ENOB

    Abstract: Specifications such as noise, effective number of bits (ENOB), effective resolution, and noise-free resolution inlarge part define how accurate an ADC really is. Consequently, understanding the performance metrics related to noise isone of the most difficult aspects of transitioning from a SAR to a delta-sigma ADC. With the current demand for higherresolution, designers must develop a better understanding of ADC noise, ENOB, effective resolution, and signal-to-noiseratio (SNR). This application note helps that understanding.

    標(biāo)簽: ENOB 模數(shù)轉(zhuǎn)換器

    上傳時間: 2013-10-16

    上傳用戶:x18010875091

  • Far too many programmers and software designers consider efficient C++ to be an oxymoron. They rega

    Far too many programmers and software designers consider efficient C++ to be an oxymoron. They regard C++ as inherently slow and inappropriate for performancecritical applications. Consequently, C++ has had little success penetrating domains such as networking, operating system kernels, device drivers, and others.

    標(biāo)簽: programmers designers efficient consider

    上傳時間: 2013-11-30

    上傳用戶:zsjzc

  • Far too many programmers and software designers consider efficient C++ to be an oxymoron. They rega

    Far too many programmers and software designers consider efficient C++ to be an oxymoron. They regard C++ as inherently slow and inappropriate for performancecritical applications. Consequently, C++ has had little success penetrating domains such as networking, operating system kernels, device drivers, and others.

    標(biāo)簽: programmers designers efficient consider

    上傳時間: 2013-12-12

    上傳用戶:凌云御清風(fēng)

  • Wireless+Communication+Systems

    Wireless communications, together with its applications and underlying technologies, is among today’s most active areas of technology development. The very rapid pace of im- provements in both custom and programmable integrated circuits for signal processing ap- plications has led to the justfiable view of advanced signal processing as a key enabler of the aggressively escalating capacity demands of emerging wireless systems. Consequently, there has been a tremendous and very widespread effort on the part of the research community to develop novel signal processing techniques that can fulfill this promise.

    標(biāo)簽: Communication Wireless Systems

    上傳時間: 2020-06-01

    上傳用戶:shancjb

  • GNSS+Receivers+for+Weak+Signals

    Many applications have required the positioning accuracy of a Global Navigation Satellite System (GNSS). Some applications exist in environments that attenuate GNSS signals, and, Consequently, the received GNSS signals become very weak. Examplesofsuchapplicationsarewirelessdevicepositioning,positioninginsensor networks that detect natural disasters, and orbit determination of geostationary and high earth orbit (HEO) satellites. Conventional GNSS receivers are not designed to work with weak signals. This book presents novel GNSS receiver algorithms that are designed to work with very weak signals.

    標(biāo)簽: Receivers Signals GNSS Weak for

    上傳時間: 2020-06-09

    上傳用戶:shancjb

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