Signal Sampling and Distortion

Rouphael, Tony J.

doi:10.1016/b978-0-12-378640-1.00005-6

Cited by 3 publications

(26 citation statements)

References 11 publications

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“…It occurs when a continuous random variable is converted to a discrete form or when a discrete random variable is converted to the one with fewer levels. In images or signals, the quantization noise frequently occurs during the acquisition process [ 51 , 52 ]. Some equipment-related noise or quality loss results from using analog-to-digital converters, which usually compress bioelectrical (in particular the ECG) signals [ 48 ].…”

Section: Introductionmentioning

confidence: 99%

Advanced Bioelectrical Signal Processing Methods: Past, Present and Future Approach—Part I: Cardiac Signals

Martínek

Ládrová

Šidiková

et al. 2021

Sensors

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Advanced signal processing methods are one of the fastest developing scientific and technical areas of biomedical engineering with increasing usage in current clinical practice. This paper presents an extensive literature review of the methods for the digital signal processing of cardiac bioelectrical signals that are commonly applied in today’s clinical practice. This work covers the definition of bioelectrical signals. It also covers to the extreme extent of classical and advanced approaches to the alleviation of noise contamination such as digital adaptive and non-adaptive filtering, signal decomposition methods based on blind source separation and wavelet transform.

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Section: Introductionmentioning

confidence: 99%

Advanced Bioelectrical Signal Processing Methods: Past, Present and Future Approach—Part I: Cardiac Signals

Martínek

Ládrová

Šidiková

et al. 2021

Sensors

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“…The absolute values of these coefficients |n + m| are known as the orders of the IM products. IM products are also unwanted signals and can cause significant interference, leading to reduced system efficiency and decreased performance [43,51,[54][55][56][57]. Furthermore, this theory applies to multi-carrier systems that operate in different frequency bands.…”

Section: Passive Intermodulation (Pim) Conceptsmentioning

confidence: 99%

“…A nonlinear system is memoryless if the output at any given time depends only on the input at that time, and not on any previous inputs or outputs. These systems are typically approximated using polynomials [54,93]. The Power series is helpful for mathematically expressing memoryless nonlinear behavior.…”

Section: Memoryless Nonlinear Systemsmentioning

confidence: 99%

“…It is a useful tool for approximating many functions as a sum of polynomials, which is easier to calculate than the original function. The input and output of a power series can represent either the voltage, current, or incident and reflected waves in networks [54].…”

Section: Memoryless Nonlinear Systemsmentioning

confidence: 99%

“…The DC term, the 2nd order harmonics, and the 3rd order harmonics can be filtered out and do not directly impact the desired signal. Therefore, the output signal is the sum of the desired signal and the in-band degradation signal, which can be expressed as [54,56]…”

Section: Memoryless Nonlinear Systemsmentioning

confidence: 99%

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Passive Intermodulation Effects in Modern Radio Communication Systems

Ahmmed

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Passive Intermodulation (PIM) is a well-known phenomenon that poses a significant challenge to modern wireless communication systems. Despite efforts to reduce or mitigate PIM through hardware design, frequency planning, and band separation techniques, the impact of PIM on radio performance remains substantial. Particularly, radio transceivers operating in the frequency division duplex mode are known to be susceptible to PIM problems. Moreover, with the adoption of carrier aggregation and advanced multi-antenna technology, PIM is increasingly becoming a major issue in multi-band multi-standard radio systems. Therefore, innovative approaches that exploit PIM detection, avoidance, and cancellation techniques are required to effectively mitigate or reduce its impact. In response to these challenges, this thesis highlights various PIM interference mechanisms and their interactions that can potentially lead to sensitivity degradation. The thesis continues with a discussion of PIM mitigation approaches and underscores the potential of digital PIM cancellation (PIMC) solutions to offer a hardware-independent resolution for reducing PIM impact in multi-band radios in the 5G era and beyond. Two key contributions are presented as follows:2. Dr. Adnan Kiayani of Ericsson AB, Sweden, for his mentorship, technical expertise, and insightful discussions that enriched my understanding of the subject matter. His mentorship has been instrumental in shaping this thesis.3. Thesis supervisor, Chancellor's Professor Halim Yanikomeroglu, for his unwavering support, guidance, and dedication to my academic development.

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Overview of Passive Intermodulation in Modern Wireless Networks: Concepts and Cancellation Techniques

Ahmmed,

Kiayani,

Shubair

et al. 2023

IEEE Access

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Passive Intermodulation (PIM) is a well-known phenomenon that poses a significant challenge to modern wireless communication systems. Although efforts have been made to reduce or mitigate the PIM through hardware design, frequency planning, and/or band separation techniques, the impact of PIM on radio performance remains significant. This is especially true for radio transceivers operating in the frequency division duplex mode, which are known to be susceptible to PIM interference. Moreover, with the adoption of carrier aggregation and advanced multi-antenna technology, PIM is increasingly becoming a major problem in multi-band multi-standard radio systems. Therefore, innovative approaches that exploit PIM detection, avoidance, and cancellation techniques are required to effectively mitigate or reduce its impact. In response to these challenges, this study highlights various PIM interference mechanisms and their interactions which cause potential receiver sensitivity degradation. The discussion further explores PIM mitigation strategies, and underscores the potential of digital PIM cancellation solutions to offer a hardware-independent resolution for reducing PIM impact in multi-band radios, in the 5G era and beyond in radio systems.

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Signal Sampling and Distortion

Cited by 3 publications

References 11 publications

Advanced Bioelectrical Signal Processing Methods: Past, Present and Future Approach—Part I: Cardiac Signals

Advanced Bioelectrical Signal Processing Methods: Past, Present and Future Approach—Part I: Cardiac Signals

Passive Intermodulation Effects in Modern Radio Communication Systems

Overview of Passive Intermodulation in Modern Wireless Networks: Concepts and Cancellation Techniques

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