Results 11 to 20 of about 75,159 (257)
Optimization of Quantized Analog Signal Processing Using Genetic Algorithms and μ-Law
Digital mismatch calibration for quantized analog (QA) signal processing is proposed for the first time. Since the proposed calibration mechanism does not require uniform QA slicer levels, non-uniform quantization can be applied to improve the system ...
Qingnan Yu +2 more
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Si 3N 4-Based Integrated Optical Analog Signal Processor and Its Application in RF Photonic Frontend
Digital signal processing has achieved great success in the field of signal processing over the past several decades. However, as the bandwidth requirement increases, the power consumption and effective number of bits (ENOB) of the analog-to-digital ...
Hongchen Yu +9 more
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Analog signal processing (ASP) is presented as a systematic approach to address future challenges in high speed and high frequency microwave applications. The general concept of ASP is explained with the help of examples emphasizing basic ASP effects, such as time spreading and compression, chirping and frequency discrimination.
Caloz, Christophe +3 more
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This article compares two methods of algorithmically processing bandlimited time-continuous signals in light of the general problem of finding “suitable” representations of analog information on digital hardware.
Holger Boche +3 more
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Analog to Digital Converters (ADC): A Literature Review [PDF]
The signal processing is advancing day by day as its needs and in wireline/wireless communication technology from 2G to 4G cellular communication technology with CMOS scaling process.
Dalmia Hemlata, Sinha Sanjeet K.
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Laser Doppler Blood Flow Imaging Using a CMOS Imaging Sensor with On-Chip Signal Processing
The first fully integrated 2D CMOS imaging sensor with on-chip signal processing for applications in laser Doppler blood flow (LDBF) imaging has been designed and tested.
Cally Gill +7 more
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Ultrasonic Signal Time-Expansion Using DAC Frequency Modulation
Ultrasonic signals can be conveniently recorded using modern high-speed analog-to-digital converters and analyzed through digital signal processing algorithms.
Massimiliano Rossi, Marco Frasca
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Electromagnetic wave-based extreme deep learning with nonlinear time-Floquet entanglement
Wave-based analog signal processing has been challenging for complex nonlinear operations such as data forecasting or classification. The authors propose here an analog neuromorphic platform for optical wave-based machine learning characterized by energy
Ali Momeni, Romain Fleury
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EEG Based Brain Computer Interfacing for Hand Assistant System Using Wavelet Transform [PDF]
Robots have been of great use to mankind for several years. In situation where human body fails to operate as per the need robot’s functions in those situations quite efficiently.
Dhongade Dayanand, Patil Mukesh
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Low-Power Analog Processing for Sensing Applications: Low-Frequency Harmonic Signal Classification
A low-power analog sensor front-end is described that reduces the energy required to extract environmental sensing spectral features without using Fast Fouri´er Transform (FFT) or wavelet transforms. An Analog Harmonic Transform (AHT) allows selection of
Sina Balkir +3 more
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