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  • Innovation in Information Technology
    Innovation in Information Technology


    Price: 110.00 £ | Shipping*: 0.00 £
  • Network signal extender 4 XLR light conversion digital network cable to analog signal distribution
    Network signal extender 4 XLR light conversion digital network cable to analog signal distribution

    Network signal extender 4 XLR light conversion digital network cable to analog signal distribution

    Price: 12.89 € | Shipping*: 0 €
  • Critical ICT4D (Information and Communication Technologies for Development)
    Critical ICT4D (Information and Communication Technologies for Development)

    The edited volume Critical ICT4D highlights the need for a paradigm change in theorising, designing, and researching Information and Communication Technologies for Development (ICT4D).Engaging authors from the Majority World and entering a process of restoring epistemic justice in knowledge production and ownership, the text:Reflects on the histories and narratives around development programmes, their deep-rooted socio-political background, and the power relations integrated into or induced by such measuresProblematises the current scholarship and practices through decolonial and pluralistic approaches built with an explicit perspective of resisting epistemic violenceConstructs justice-enacting engagements of technologies with society. Offering thematic discussions in many development sectors with up-to-date case studies informed by recent research in the field, it sheds light on constructive contributions of critical ICT4D research.Written in accessible language, the book will appeal to postgraduate students, fellow researchers, policymakers in the fields of sociology, development studies, STS, critical data studies, surveillance studies, international relations, public administration, and information systems. The Open Access version of this book, available at http://www.taylorfrancis.com, has been made available under a Creative Commons Attribution (CC-BY) 4.0 license.

    Price: 39.99 £ | Shipping*: 0.00 £
  • Speech Signal Enhancement by Information Combining
    Speech Signal Enhancement by Information Combining

    Mobile phones as well as tablets are omnipresent and belong to everyday life.Today audiovisual communication takes place at different locations and in a large variety of acoustic environments.In consequence, the intelligibility as well as the quality of speech may significantly be degraded by ambient background noise.In order to improve speech intelligibility and to ensure a convenient communication with high audio quality, speech enhancement techniques are required.In this thesis all critical components contributing to the enhancement of the up-link signal are addressed:• signal capturing at the acoustic front-end with a new near field beamformer• new codebook based speech and noise estimation procedure generating and exploiting reliability information, and• actual noise reduction exploiting spectral dependencies of human speech. For the acoustic front-end of the digital processing chain a novel concept for the filter optimization of a near field beamformer is introduced.The optimization scheme allows to closely approximate a predefined reception characteristic which can be freely chosen according to the application.The output of the beamformer provides a pre-enhanced signal with improved SNR for subsequent single-microphone based speech enhancement. Single-microphone noise reduction usually relies on statistical properties of speech and noise.In general, the noise is assumed to be stationary or only slightly time-varying, which is in practice often not fulfilled.Due to imprecise noise estimation, single-microphone systems are prone to unpleasant artifacts that are called musical tones.In this context different Information Combining methods, merging various estimates, are presented which address specifically the problem of non-stationary noise signals, leading to a significant improved estimation accuracy.On the one hand, the proposed Information Combining is used with respect to spectral dependencies of human speech.On the other hand, it merges the best of several speech and noise estimates depending on their reliability.The necessary estimates are provided by a new statistical noise estimator as well as a codebook driven speech and noise estimation algorithm.The achieved estimation quality opens up the possibility to close the gap between the conflicting goals of high noise attenuation, low speech distortion, and the prevention of undesired musical tone artifacts.Finally, the practical aspects of the proposed enhancement systems are considered and discussed with two implemented real-time demonstrators.

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  • What is a digital signal in signal processing?

    A digital signal in signal processing is a discrete-time signal that is represented using a sequence of numbers. These numbers are typically binary and are used to represent the amplitude of the signal at specific time intervals. Digital signals are used in various applications such as telecommunications, audio processing, and image processing. They offer advantages such as easier storage, transmission, and manipulation compared to analog signals.

  • What is the difference between an analog signal and a digital signal?

    An analog signal is a continuous wave that varies in amplitude and frequency, while a digital signal is a discrete signal that represents data as a sequence of discrete values. Analog signals are susceptible to noise and distortion, whereas digital signals are more resistant to interference and can be easily processed and transmitted without loss of quality. Analog signals are used in older technologies like vinyl records and analog phones, while digital signals are used in modern technologies like CDs, smartphones, and computers.

  • Can my television receive a digital signal?

    To determine if your television can receive a digital signal, you need to check if it has a built-in digital tuner. Most modern TVs come equipped with digital tuners, but older models may require a separate digital converter box. You can also look for labels such as ATSC, DTV, or HDTV on your TV, which indicate its compatibility with digital signals. If your TV does not have a digital tuner, you may need to purchase a digital converter box to receive digital broadcasts.

  • Can a digital signal be an alternating current?

    No, a digital signal cannot be an alternating current (AC). A digital signal is a discrete, binary representation of data, typically represented by two voltage levels (0 and 1). On the other hand, alternating current is a type of electrical current where the flow of electric charge periodically reverses direction. While digital signals can be transmitted over an AC electrical system, the digital signal itself is not an AC current.

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  • Sensor Signal and Information Processing II
    Sensor Signal and Information Processing II

    In the current age of information explosion, newly invented technological sensors and software are now tightly integrated with our everyday lives. Many sensor processing algorithms have incorporated some forms of computational intelligence as part of their core framework in problem solving. These algorithms have the capacity to generalize and discover knowledge for themselves and learn new information whenever unseen data are captured. The primary aim of sensor processing is to develop techniques to interpret, understand, and act on information contained in the data. The interest of this book is in developing intelligent signal processing in order to pave the way for smart sensors. This involves mathematical advancement of nonlinear signal processing theory and its applications that extend far beyond traditional techniques. It bridges the boundary between theory and application, developing novel theoretically inspired methodologies targeting both longstanding and emergent signal processing applications. The topic ranges from phishing detection to integration of terrestrial laser scanning, and from fault diagnosis to bio-inspiring filtering. The book will appeal to established practitioners, along with researchers and students in the emerging field of smart sensors processing.

    Price: 76.00 £ | Shipping*: 0.00 £
  • Spatial Information Technology for Sustainable Development Goals
    Spatial Information Technology for Sustainable Development Goals

    This textbook aims to develop a scientific knowledge base on spatial information technology to communicate the United Nations' Sustainable Development Goals (SDGs) among students, researchers, professionals and laymen.The book improves understanding of the spatial database and explains how to extract information from this for planning purposes.To enhance the knowledge of geoscientists and environmentalists, the book describes the basic fundamental concepts to advance techniques for spatial data management and analysis and discusses the methodology.The Geographic Information System (GIS), remote sensing and Global Positioning System (GPS) are presented in an integrated manner for the planning of resources and infrastructure.The management of these systems is discussed in a very lucid way to develop the reader's skills.The proper procedure for map making and spatial analysis are included along with case studies to the reader.Where thefirst part of the book discusses the conceptual background, the second part deals with case studies using these applications in different disciplines.The presented case studies include land use, agriculture, flood, watershed characterization and infrastructure assessment for the Sustainable Development Goals.

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  • The Language of ICT : Information and Communication Technology
    The Language of ICT : Information and Communication Technology

    The Language of ICT:* explores the nature of the electronic word and presents the new types of text in which it is found* examines the impact of the rapid technological change we are living through* analyses different texts, including email and answerphone messages, webpages, faxes, computer games and articles about IT* provides detailed guidance on downloading material from the web, gives URLs to visit, and includes a dedicated webpage* includes a comprehensive glossary of terms.

    Price: 21.99 £ | Shipping*: 3.99 £
  • Multirate Signal Processing for Communication Systems
    Multirate Signal Processing for Communication Systems

    Multirate Signal processing can improve system performance and reduce costs in applications ranging from laboratory instruments, cable modems, wireless systems, satellites, Radar, Sonar, and consumer entertainment products.This second edition continues to offer a systematic, clear, and intuitive introduction to multirate signal processing for working engineers and system designers.Significant new material and fresh concepts, including Green Signal Processing techniques have been introduced. The author uses extensive examples and figures to illustrate a wide range of multirate techniques, from basic resampling to leading-edge cascade and multi-stage filter structures.Along the way he draws on extensive research and consulting experience to introduce processing “tricks” shown to maximize performance and efficiency.Coverage includes:• Effect of sampling and resampling in time and frequency domains• Relationships between FIR filter specifications and filter length (# of taps)• Window design and equal-ripple (Remez) design techniques• Square-Root Nyquist and Half-band Filters including new enhancements• Polyphase FIR filters: up-sampling, down-sampling• Polyphase M-path analysis and synthesis channelizers and cascade pairs• Polyphase interpolators for arbitrary sample rate changes• Dyadic half-band filters, quadrature mirror filters• Channel banks for multiple arbitrary bandwidths and center frequencies • Comprehensive coverage of recursive all-pass filters and channelizers, non-uniform and uniform phase, mixed recursive and non-recursive• Comparisons with traditional DSP designs• Extensive applications coverage throughout

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  • How can I convert a digital audio signal to an analog signal on an MSI motherboard?

    To convert a digital audio signal to an analog signal on an MSI motherboard, you can use the onboard audio connectors. Most MSI motherboards come with built-in audio chips that support analog audio output. You can connect your speakers or headphones to the audio output port on the motherboard to convert the digital audio signal to an analog signal. Additionally, you can also use a digital-to-analog converter (DAC) if you require higher quality audio output.

  • Why does the network socket have no signal?

    The network socket may have no signal due to a variety of reasons. It could be due to a physical issue such as a loose connection or a damaged cable. It could also be caused by a problem with the network equipment or a disruption in the network infrastructure. Additionally, it could be due to a configuration issue or a problem with the network settings on the device. Troubleshooting the issue by checking the physical connections, network equipment, and device settings can help identify and resolve the cause of the no signal problem.

  • Why is my digital receiver not receiving a signal?

    Your digital receiver may not be receiving a signal due to a few possible reasons. It could be a problem with the antenna or cable connection, so check to make sure they are properly connected and in good condition. It's also possible that there is an issue with the signal strength in your area, so try repositioning the antenna to see if that improves the reception. Additionally, there may be interference from other electronic devices or obstacles blocking the signal, so try moving the receiver to a different location. If none of these solutions work, it may be a problem with the receiver itself, in which case you may need to contact the manufacturer for further assistance.

  • What is a specialist in application development for information technology?

    A specialist in application development for information technology is a professional who specializes in designing, creating, and maintaining software applications that meet the specific needs of an organization. They have expertise in programming languages, software development methodologies, and database management. These specialists work closely with clients and stakeholders to understand their requirements and develop customized solutions to improve efficiency, productivity, and overall business operations. They are responsible for ensuring that the applications are user-friendly, secure, and scalable to meet the evolving needs of the organization.

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