Products related to Signals:
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Signals
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Pulsing Signals
Formed in 1969 by Daevid Allen, one of the founding members of Soft Machine, classic albums such as 'Camembert Electrique', 'Flying Teapot' and 'You' established Gong as one of the most unique, innovative and experimental rock groups of the 1970s. Before he sadly passed away in 2015, Allen laid out his hopes for a future Gong, that it should be uplifting, exploratory and a positive force. Kavus Torabi, Fabio Golfetti, Ian East, Dave Sturt and Cheb Nettles, chosen by him, continue his vision. 'Pulsing Signals', recorded live at The Wardrobe in Leeds, The Cluny in Newcastle and Rescue Rooms in Nottingham in 2019 during 'The Universe Also Collapses' tour finds the group in spirited form, unbeknownst to them, it being their final tour before the global pandemic took charge.
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Continuous-Amplitude Error Protection of Discrete-Time Signals
Transmitting analog audio, video, or sensor data with a digital system requires sampling and quantization.While a sampled bandlimited signal can be reconstructed perfectly if the Nyquist-Shannon sampling theorem is met, quantization unavoidably adds irreversible errors.Given a certain bitrate for quantization (or source coding in general), the achievable signal quality is therefore limited.Transmission of the signal over a noisy channel causes additional errors.If some part of the bitrate is used for protecting the signal with a channel code, these additional errors can be reduced or even eliminated.However, this reduces the achievable maximum quality if the gross bitrate is fixed.Since this compromise between quantization and channel coding is often designed for the worst-case channel, the signal quality saturates early with increasing channel quality, and transmission over a better channel is far below optimum. Instead of conventional digital systems, this thesis covers a continuous-amplitude, discrete-time system.Such a system does not exhibit this saturation of the signal quality, as its performance further improves with increasing channel quality.An example of such a system is a channel coding strategy using analog modulo block codes (AMB codes) for error protection.The encoder multiplies the unquantized symbol vector with a code matrix and limits the transmission power with a modulo operation.In practice, AMB coding is implemented by digital signal processing.The digital representation of the information symbols can be very precise and no coarse quantization is required for bitrate reduction. In this thesis, AMB codes are analyzed, designed, and evaluated.The resulting code words, consisting of a lattice and a continuous component, are presented and analyzed.New decoding techniques are developed and evaluated.Additionally, a novel method to analytically estimate the quality of the decoded signal in terms of signal-to-distortion ratio (SDR) can replace computationally much more demanding simulations in many cases.This estimation strategy allows evaluating the usefulness of codes with different dimensionalities.A new, efficient design concept is developed for codes with a single input symbol, which are most promising in terms of complexity and performance.Asystem using AMBcodes outperforms traditional digital transmission systems with short block lengths for medium to high signal-to-noise ratios on the channel.Due to their typically very short block length and low encoding complexity, AMB codes are especially well suited for low-delay, low-power applications, such as hearing aids, wireless microphones, and wireless sensor networks.
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Signals Volume 1
But she has one secret weapon: the ability to read minds.Still, Mel can't afford to get complacent. Not when there is a fresh threat brewing in the shadows of New York City...Nika's thrilling suspense story Signals arrives in its print debut from Dark Horse and Tapas, part of a new collaboration!
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What is data protection and security?
Data protection and security refer to the measures and practices put in place to safeguard data from unauthorized access, use, or disclosure. This includes protecting data from cyber threats such as hacking, malware, and phishing attacks, as well as ensuring compliance with privacy regulations and laws. Data protection and security also involve implementing encryption, access controls, and regular data backups to prevent data loss and maintain the integrity of sensitive information. Overall, data protection and security are essential for maintaining the confidentiality, integrity, and availability of data.
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How can digital signals be converted into analog signals?
Digital signals can be converted into analog signals through a process called digital-to-analog conversion (DAC). This conversion involves assigning specific voltage levels to represent the binary values of the digital signal. The DAC then reconstructs the continuous analog signal by converting these voltage levels back into a smooth waveform. This process is essential for devices like speakers and headphones to convert digital audio signals into sound waves that we can hear.
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What is more important, data protection or privacy?
Both data protection and privacy are important, but they serve different purposes. Data protection focuses on safeguarding the information collected and stored by organizations, ensuring it is secure from unauthorized access or breaches. Privacy, on the other hand, is about giving individuals control over their personal information and how it is used. Both are essential for maintaining trust and security in the digital age, and organizations should prioritize both data protection and privacy to ensure the safety and rights of their users.
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Which reseller hosting services offer privacy and data protection?
Many reseller hosting services offer privacy and data protection as part of their packages. Some popular options include SiteGround, Bluehost, and A2 Hosting. These providers offer features such as SSL certificates, regular backups, and secure data centers to ensure the privacy and protection of customer data. It's important to carefully review the privacy and security features offered by each reseller hosting service to ensure they meet your specific needs.
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Digital Signals Theory
Where most introductory texts to the field of digital signal processing assume a degree of technical knowledge, this class-tested textbook provides a comprehensive introduction to the fundamentals of digital signal processing in a way that is accessible to all. Beginning from the first principles, readers will learn how signals are acquired, represented, analyzed and transformed by digital computers.Specific attention is given to digital sampling, discrete Fourier analysis and linear filtering in the time and frequency domains.All concepts are introduced practically and theoretically, combining intuitive illustrations, mathematical derivations and software implementations written in the Python programming language.Practical exercises are included at the end of each chapter to test reader knowledge. Written in a clear and accessible style, Digital Signals Theory is particularly aimed at students and general readers interested in audio and digital signal processing, but who may not have extensive mathematical or engineering training.
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Leading by Weak Signals : Using Small Data to Master Complexity
Master complex problems and face radical uncertainty by unleashing the power of small data Is your business using data to its optimum potential?In complicated well-structured problem situations, executives rely on Big Data.However, when faced with complexity and uncertainty they are challenged to skillfully handle Small Data.Leading by Weak Signals argues that impending dangers, new business opportunities or innovative ideas may be missed when data are classified as simply not "big enough." This insightful book with its new approach initiates a radical shift in perspective from running the business to changing the business.While Big Data are very well suited to run a business efficiently, Small Data lay open phenomena which are connected to transforming a company, like inflection points, scale changes, or critical transitions. The authors present practical business examples and an 8-step framework to implement their ideas in teams and on the individual level.This offers reflective practitioners a guideline for leveraging the enormous potential of weak signals for effective strategy development and operational execution in times of uncertainty – and gives them the competitive edge they need to succeed.
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Detection of Optical Signals
Detection of Optical Signals provides a comprehensive overview of important technologies for photon detection, from the X-ray through ultraviolet, visible, infrared to far-infrared spectral regions.It uniquely combines perspectives from many disciplines, particularly within physics and electronics, which are necessary to have a complete understanding of optical receivers. This interdisciplinary textbook aims to:Guide readers into more detailed and technical treatments of readout optical signalsGive a broad overview of optical signal detection including terahertz region and two-dimensional materialHelp readers further their studies by offering chapter-end problems and recommended reading. This is an invaluable resource for graduate students in physics and engineering, as well as a helpful refresher for those already working with aerospace sensors and systems, remote sensing, thermal imaging, military imaging, optical telecommunications, infrared spectroscopy, and light detection.
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Pulsing Signals
Formed in 1969 by Daevid Allen, one of the founding members of Soft Machine, classic albums such as 'Camembert Electrique', 'Flying Teapot' and 'You' established Gong as one of the most unique, innovative and experimental rock groups of the 1970s. Before he sadly passed away in 2015, Allen laid out his hopes for a future Gong, that it should be uplifting, exploratory and a positive force. Kavus Torabi, Fabio Golfetti, Ian East, Dave Sturt and Cheb Nettles, chosen by him, continue his vision. 'Pulsing Signals', recorded live at The Wardrobe in Leeds, The Cluny in Newcastle and Rescue Rooms in Nottingham in 2019 during 'The Universe Also Collapses' tour finds the group in spirited form, unbeknownst to them, it being their final tour before the global pandemic took charge.
Price: 14.99 £ | Shipping*: 3.99 £
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Why are there shunting signals (ZD) if there are main signals?
Shunting signals (ZD) are used to control the movement of trains within a station or yard, especially when they are not on the main line. They provide additional safety measures and help prevent collisions or other accidents by indicating to train operators when it is safe to proceed with shunting movements. Main signals are primarily used to control trains on the main line, so the presence of shunting signals ensures that there is specific guidance for shunting movements within the station or yard, separate from the main line operations. This helps to maintain efficient and safe train operations in areas where shunting activities are common.
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What is the question about data protection and data security?
The question about data protection and data security revolves around how organizations can safeguard sensitive information from unauthorized access, breaches, and cyber threats. It also involves ensuring compliance with data protection regulations, such as the General Data Protection Regulation (GDPR) and the California Consumer Privacy Act (CCPA). Additionally, the question may address best practices for data encryption, access controls, regular security audits, and incident response plans to mitigate risks and protect data integrity.
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What is the difference between data protection and data security?
Data protection refers to the policies and procedures put in place to ensure that personal data is handled in compliance with privacy laws and regulations. This includes obtaining consent for data collection, limiting access to personal information, and ensuring data is accurate and up to date. On the other hand, data security focuses on protecting data from unauthorized access, use, or destruction. This includes measures such as encryption, firewalls, and access controls to prevent data breaches and cyber attacks. In summary, data protection is about the legal and ethical handling of personal data, while data security is about the technical measures used to protect that data from unauthorized access or misuse.
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Are these false signals?
Without more context, it is difficult to determine if the signals are false. False signals could refer to misleading information or indicators that do not accurately represent the true situation. It would be important to analyze the source and reliability of the signals to determine if they are indeed false. Additionally, considering the potential motivations behind the signals and any potential biases would also be important in evaluating their accuracy.
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