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The recent development of various application systems and platforms, such as 5G, B5G, 6G, and IoT, is based on the advancement of CMOS integrated circuit (IC) technology that enables them to implement high-performance chipsets. In addition to development in the traditional fields of analog and digital integrated circuits, the development of CMOS IC design and application in high-power and high-frequency operations, which was previously thought to be possible only with compound semiconductor technology, is a core technology that drives rapid industrial development. This book aims to highlight advances in all aspects of CMOS integrated circuit design and applications without discriminating between different operating frequencies, output powers, and the analog/digital domains. Specific topics in the book include: Next-generation CMOS circuit design and application; CMOS RF/microwave/millimeter-wave/terahertz-wave integrated circuits and systems; CMOS integrated circuits specially used for wireless or wired systems and applications such as converters, sensors, interfaces, frequency synthesizers/generators/rectifiers, and so on; Algorithm and signal-processing methods to improve the performance of CMOS circuits and systems.
Technology: general issues --- History of engineering & technology --- spin memristor --- mask operation --- memristor switch --- memristor crossbar --- image processing --- CMOS --- voltage-controlled oscillator --- switched-biasing --- flicker noise --- phase noise --- current source --- figure-of-merit --- pixel-level ADC --- current-input ADC --- readout circuit --- microbolometer --- high SNR --- wide dynamic range --- current-reuse --- injection-locked frequency divider --- radar sensor --- wideband --- RF receiver --- blocker --- second-order intermodulation (IM2) --- orthogonal frequency division modulation (OFDM) --- MedRadio --- medical implanted communication service (MICS) --- biomedical device --- biosensors --- LC-VCO --- current-shaping --- 90 nm --- current tail --- varactor --- LC tank --- on-wafer --- vibration energy harvester --- power management circuit --- CMOS rectifier --- dynamic threshold cancellation technique --- high power conversion efficiency --- CMOS circuit --- analog system --- signal processing --- learning algorithm --- artificial neural network --- freeware --- open science --- analog microelectronics design --- long channel transistors --- short channel transistors --- integrated circuit design --- CMOS design --- VLSI --- higher education --- educational innovation --- integrated circuit layout --- complex thinking --- CMOS detector --- concurrent-mode --- differential detector IC --- imaging SNR --- integrated folded-dipole antenna --- sub-terahertz imaging --- voltage responsivity
Choose an application
The recent development of various application systems and platforms, such as 5G, B5G, 6G, and IoT, is based on the advancement of CMOS integrated circuit (IC) technology that enables them to implement high-performance chipsets. In addition to development in the traditional fields of analog and digital integrated circuits, the development of CMOS IC design and application in high-power and high-frequency operations, which was previously thought to be possible only with compound semiconductor technology, is a core technology that drives rapid industrial development. This book aims to highlight advances in all aspects of CMOS integrated circuit design and applications without discriminating between different operating frequencies, output powers, and the analog/digital domains. Specific topics in the book include: Next-generation CMOS circuit design and application; CMOS RF/microwave/millimeter-wave/terahertz-wave integrated circuits and systems; CMOS integrated circuits specially used for wireless or wired systems and applications such as converters, sensors, interfaces, frequency synthesizers/generators/rectifiers, and so on; Algorithm and signal-processing methods to improve the performance of CMOS circuits and systems.
spin memristor --- mask operation --- memristor switch --- memristor crossbar --- image processing --- CMOS --- voltage-controlled oscillator --- switched-biasing --- flicker noise --- phase noise --- current source --- figure-of-merit --- pixel-level ADC --- current-input ADC --- readout circuit --- microbolometer --- high SNR --- wide dynamic range --- current-reuse --- injection-locked frequency divider --- radar sensor --- wideband --- RF receiver --- blocker --- second-order intermodulation (IM2) --- orthogonal frequency division modulation (OFDM) --- MedRadio --- medical implanted communication service (MICS) --- biomedical device --- biosensors --- LC-VCO --- current-shaping --- 90 nm --- current tail --- varactor --- LC tank --- on-wafer --- vibration energy harvester --- power management circuit --- CMOS rectifier --- dynamic threshold cancellation technique --- high power conversion efficiency --- CMOS circuit --- analog system --- signal processing --- learning algorithm --- artificial neural network --- freeware --- open science --- analog microelectronics design --- long channel transistors --- short channel transistors --- integrated circuit design --- CMOS design --- VLSI --- higher education --- educational innovation --- integrated circuit layout --- complex thinking --- CMOS detector --- concurrent-mode --- differential detector IC --- imaging SNR --- integrated folded-dipole antenna --- sub-terahertz imaging --- voltage responsivity
Choose an application
The recent development of various application systems and platforms, such as 5G, B5G, 6G, and IoT, is based on the advancement of CMOS integrated circuit (IC) technology that enables them to implement high-performance chipsets. In addition to development in the traditional fields of analog and digital integrated circuits, the development of CMOS IC design and application in high-power and high-frequency operations, which was previously thought to be possible only with compound semiconductor technology, is a core technology that drives rapid industrial development. This book aims to highlight advances in all aspects of CMOS integrated circuit design and applications without discriminating between different operating frequencies, output powers, and the analog/digital domains. Specific topics in the book include: Next-generation CMOS circuit design and application; CMOS RF/microwave/millimeter-wave/terahertz-wave integrated circuits and systems; CMOS integrated circuits specially used for wireless or wired systems and applications such as converters, sensors, interfaces, frequency synthesizers/generators/rectifiers, and so on; Algorithm and signal-processing methods to improve the performance of CMOS circuits and systems.
Technology: general issues --- History of engineering & technology --- spin memristor --- mask operation --- memristor switch --- memristor crossbar --- image processing --- CMOS --- voltage-controlled oscillator --- switched-biasing --- flicker noise --- phase noise --- current source --- figure-of-merit --- pixel-level ADC --- current-input ADC --- readout circuit --- microbolometer --- high SNR --- wide dynamic range --- current-reuse --- injection-locked frequency divider --- radar sensor --- wideband --- RF receiver --- blocker --- second-order intermodulation (IM2) --- orthogonal frequency division modulation (OFDM) --- MedRadio --- medical implanted communication service (MICS) --- biomedical device --- biosensors --- LC-VCO --- current-shaping --- 90 nm --- current tail --- varactor --- LC tank --- on-wafer --- vibration energy harvester --- power management circuit --- CMOS rectifier --- dynamic threshold cancellation technique --- high power conversion efficiency --- CMOS circuit --- analog system --- signal processing --- learning algorithm --- artificial neural network --- freeware --- open science --- analog microelectronics design --- long channel transistors --- short channel transistors --- integrated circuit design --- CMOS design --- VLSI --- higher education --- educational innovation --- integrated circuit layout --- complex thinking --- CMOS detector --- concurrent-mode --- differential detector IC --- imaging SNR --- integrated folded-dipole antenna --- sub-terahertz imaging --- voltage responsivity --- spin memristor --- mask operation --- memristor switch --- memristor crossbar --- image processing --- CMOS --- voltage-controlled oscillator --- switched-biasing --- flicker noise --- phase noise --- current source --- figure-of-merit --- pixel-level ADC --- current-input ADC --- readout circuit --- microbolometer --- high SNR --- wide dynamic range --- current-reuse --- injection-locked frequency divider --- radar sensor --- wideband --- RF receiver --- blocker --- second-order intermodulation (IM2) --- orthogonal frequency division modulation (OFDM) --- MedRadio --- medical implanted communication service (MICS) --- biomedical device --- biosensors --- LC-VCO --- current-shaping --- 90 nm --- current tail --- varactor --- LC tank --- on-wafer --- vibration energy harvester --- power management circuit --- CMOS rectifier --- dynamic threshold cancellation technique --- high power conversion efficiency --- CMOS circuit --- analog system --- signal processing --- learning algorithm --- artificial neural network --- freeware --- open science --- analog microelectronics design --- long channel transistors --- short channel transistors --- integrated circuit design --- CMOS design --- VLSI --- higher education --- educational innovation --- integrated circuit layout --- complex thinking --- CMOS detector --- concurrent-mode --- differential detector IC --- imaging SNR --- integrated folded-dipole antenna --- sub-terahertz imaging --- voltage responsivity
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Sensor technology for monitoring vital signs is an important topic for various service applications, such as entertainment and personalization platforms and Internet of Things (IoT) systems, as well as traditional medical purposes, such as disease indication judgments and predictions. Vital signs for monitoring include respiration and heart rates, body temperature, blood pressure, oxygen saturation, electrocardiogram, blood glucose concentration, brain waves, etc. Gait and walking length can also be regarded as vital signs because they can indirectly indicate human activity and status. Sensing technologies include contact sensors such as electrocardiogram (ECG), electroencephalogram (EEG), photoplethysmogram (PPG), non-contact sensors such as ballistocardiography (BCG), and invasive/non-invasive sensors for diagnoses of variations in blood characteristics or body fluids. Radar, vision, and infrared sensors can also be useful technologies for detecting vital signs from the movement of humans or organs. Signal processing, extraction, and analysis techniques are important in industrial applications along with hardware implementation techniques. Battery management and wireless power transmission technologies, the design and optimization of low-power circuits, and systems for continuous monitoring and data collection/transmission should also be considered with sensor technologies. In addition, machine-learning-based diagnostic technology can be used for extracting meaningful information from continuous monitoring data.
Technology: general issues --- Energy industries & utilities --- cardiopulmonary resuscitation (CPR) --- electroencephalogram (EEG) --- hemodynamic data --- carotid blood flow (CBF) --- cerebral circulation --- frequency-shift keying radar --- cross-correlation --- envelope detection --- continuous-wave radar --- frequency discrimination --- vital-signs monitoring --- heartbeat accuracy improvement --- heartbeat detection --- absolute distance measurement --- radar signal processing --- 3D+t modeling --- coronary artery --- non-rigid registration --- cage deformation --- 4D CT --- passenger detection --- CW radar --- radar feature vector --- radar machine learning --- wearable sensors --- physiology --- medical monitoring --- vital signs --- compensatory reserve --- ultra-high resolution --- cone-beam computed tomography --- low-contrast object --- optimal filter --- modulation transfer function --- noise power spectrum --- doppler cardiogram --- wavelet transform --- denoising --- mother wavelet function --- decomposition level --- signal decomposition --- signal-to-noise-ratio
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Sensor technology for monitoring vital signs is an important topic for various service applications, such as entertainment and personalization platforms and Internet of Things (IoT) systems, as well as traditional medical purposes, such as disease indication judgments and predictions. Vital signs for monitoring include respiration and heart rates, body temperature, blood pressure, oxygen saturation, electrocardiogram, blood glucose concentration, brain waves, etc. Gait and walking length can also be regarded as vital signs because they can indirectly indicate human activity and status. Sensing technologies include contact sensors such as electrocardiogram (ECG), electroencephalogram (EEG), photoplethysmogram (PPG), non-contact sensors such as ballistocardiography (BCG), and invasive/non-invasive sensors for diagnoses of variations in blood characteristics or body fluids. Radar, vision, and infrared sensors can also be useful technologies for detecting vital signs from the movement of humans or organs. Signal processing, extraction, and analysis techniques are important in industrial applications along with hardware implementation techniques. Battery management and wireless power transmission technologies, the design and optimization of low-power circuits, and systems for continuous monitoring and data collection/transmission should also be considered with sensor technologies. In addition, machine-learning-based diagnostic technology can be used for extracting meaningful information from continuous monitoring data.
cardiopulmonary resuscitation (CPR) --- electroencephalogram (EEG) --- hemodynamic data --- carotid blood flow (CBF) --- cerebral circulation --- frequency-shift keying radar --- cross-correlation --- envelope detection --- continuous-wave radar --- frequency discrimination --- vital-signs monitoring --- heartbeat accuracy improvement --- heartbeat detection --- absolute distance measurement --- radar signal processing --- 3D+t modeling --- coronary artery --- non-rigid registration --- cage deformation --- 4D CT --- passenger detection --- CW radar --- radar feature vector --- radar machine learning --- wearable sensors --- physiology --- medical monitoring --- vital signs --- compensatory reserve --- ultra-high resolution --- cone-beam computed tomography --- low-contrast object --- optimal filter --- modulation transfer function --- noise power spectrum --- doppler cardiogram --- wavelet transform --- denoising --- mother wavelet function --- decomposition level --- signal decomposition --- signal-to-noise-ratio
Choose an application
Sensor technology for monitoring vital signs is an important topic for various service applications, such as entertainment and personalization platforms and Internet of Things (IoT) systems, as well as traditional medical purposes, such as disease indication judgments and predictions. Vital signs for monitoring include respiration and heart rates, body temperature, blood pressure, oxygen saturation, electrocardiogram, blood glucose concentration, brain waves, etc. Gait and walking length can also be regarded as vital signs because they can indirectly indicate human activity and status. Sensing technologies include contact sensors such as electrocardiogram (ECG), electroencephalogram (EEG), photoplethysmogram (PPG), non-contact sensors such as ballistocardiography (BCG), and invasive/non-invasive sensors for diagnoses of variations in blood characteristics or body fluids. Radar, vision, and infrared sensors can also be useful technologies for detecting vital signs from the movement of humans or organs. Signal processing, extraction, and analysis techniques are important in industrial applications along with hardware implementation techniques. Battery management and wireless power transmission technologies, the design and optimization of low-power circuits, and systems for continuous monitoring and data collection/transmission should also be considered with sensor technologies. In addition, machine-learning-based diagnostic technology can be used for extracting meaningful information from continuous monitoring data.
Technology: general issues --- Energy industries & utilities --- cardiopulmonary resuscitation (CPR) --- electroencephalogram (EEG) --- hemodynamic data --- carotid blood flow (CBF) --- cerebral circulation --- frequency-shift keying radar --- cross-correlation --- envelope detection --- continuous-wave radar --- frequency discrimination --- vital-signs monitoring --- heartbeat accuracy improvement --- heartbeat detection --- absolute distance measurement --- radar signal processing --- 3D+t modeling --- coronary artery --- non-rigid registration --- cage deformation --- 4D CT --- passenger detection --- CW radar --- radar feature vector --- radar machine learning --- wearable sensors --- physiology --- medical monitoring --- vital signs --- compensatory reserve --- ultra-high resolution --- cone-beam computed tomography --- low-contrast object --- optimal filter --- modulation transfer function --- noise power spectrum --- doppler cardiogram --- wavelet transform --- denoising --- mother wavelet function --- decomposition level --- signal decomposition --- signal-to-noise-ratio --- cardiopulmonary resuscitation (CPR) --- electroencephalogram (EEG) --- hemodynamic data --- carotid blood flow (CBF) --- cerebral circulation --- frequency-shift keying radar --- cross-correlation --- envelope detection --- continuous-wave radar --- frequency discrimination --- vital-signs monitoring --- heartbeat accuracy improvement --- heartbeat detection --- absolute distance measurement --- radar signal processing --- 3D+t modeling --- coronary artery --- non-rigid registration --- cage deformation --- 4D CT --- passenger detection --- CW radar --- radar feature vector --- radar machine learning --- wearable sensors --- physiology --- medical monitoring --- vital signs --- compensatory reserve --- ultra-high resolution --- cone-beam computed tomography --- low-contrast object --- optimal filter --- modulation transfer function --- noise power spectrum --- doppler cardiogram --- wavelet transform --- denoising --- mother wavelet function --- decomposition level --- signal decomposition --- signal-to-noise-ratio
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