The Experts below are selected from a list of 4626 Experts worldwide ranked by ideXlab platform
Peter R. Kinget - One of the best experts on this subject based on the ideXlab platform.
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Sub-nW Wake-Up Receivers With Gate-Biased Self-Mixers and Time-Encoded Signal Processing
IEEE Journal of Solid-State Circuits, 2019Co-Authors: Vivek Mangal, Peter R. KingetAbstract:A fully integrated wake-up receiver in 65-nm low-power (LP) CMOS technology is presented. The receiver's RF front end consists of a 40-stage MOS self-mixer using gate biasing to optimize the sensitivity; the baseband circuits use time-Encoded analog Signals to efficiently implement a matched filter with a DC offset cancellation loop at minimal power consumption. When operating at 434 MHz, the receiver has a -79.1-dBm sensitivity with a 110-ms latency while consuming 420 pW from 0.4 V. When operating at 1.016 GHz with the same latency, the sensitivity is -74 dBm and power consumption is 470 pW.
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Clockless, Continuous-Time Analog Correlator Using Time-Encoded Signal Processing Demonstrating Asynchronous CDMA for Wake-Up Receivers
IEEE Journal of Solid-State Circuits, 1Co-Authors: Vivek Mangal, Peter R. KingetAbstract:A clockless, continuous-time (CT) analog correlator circuit realization is presented based on time-Encoded analog Signal processing. Voltage-controlled oscillators (VCOs) transform the analog voltage Signals into time-Encoded analog Signals and, in the process, perform Signal integration; CT, digital-style delay cells combined with phase-frequency detectors followed by capacitive summers implement a CT matched filter. The correlator prototype designed in 65-nm CMOS-LP technology consumes 37 nW from 0.54 V and is used in the baseband of a wake-up receiver to despread asynchronous code-division multiple access (CDMA) codes and demonstrate code-domain filtering for an 11-bit Barker code. The wake-up receiver's sensitivity is enhanced by 2 dB to -80.9 dBm for a missed detection ratio of 10⁻³, and its selectivity is improved by 5 dB, thanks to the use of the correlator. Simultaneous wake-up using CDMA is demonstrated with selective responses of the receiver to different desired codes in the presence of an undesired code.
Radu Ciprian Bilcu - One of the best experts on this subject based on the ideXlab platform.
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Wildlife intruder detection using sounds captured by acoustic sensors
2010 IEEE International Conference on Acoustics Speech and Signal Processing, 2010Co-Authors: Marius Vasile Ghiurcau, Corneliu Rusu, Radu Ciprian BilcuAbstract:In this paper we classify the sounds originated from humans, birds and cars. The motivation of such a classification is to detect the intruders into protected wildlife regions such as protected forests, lakes, and other natural reservations. The proposed algorithm for sound encoding and classification is Time Encoded Signal Processing and Recognition (TESPAR) combined with the archetypes technique. We have tested our method on a database consisting of 300 recordings, 100 for each class, and several types of noise (white Gaussian noise, rain sound and wind sound) have been added to the recordings in order to simulate the different outdoor environments. Several pre-processing steps have been included and tested in order to verify the improvement of the classification accuracy. We performed a downsampling from 8 kHz to 6 kHz of the original recordings, followed by band pass filtering and the results shown an increased efficiency of TESPAR in the classification process.
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A modified TESPAR algorithm for wildlife sound classification
Proceedings of 2010 IEEE International Symposium on Circuits and Systems, 2010Co-Authors: Marius Vasile Ghiurcau, Comeliu Rusu, Radu Ciprian BilcuAbstract:The application of sound classification for detecting intruders into protected wildlife regions has been addressed recently. For such an application, simple, yet robust, methods must be utilized since these systems usually are required to work in difficult conditions. The Time Encoded Signal Processing and Recognition (TESPAR) algorithm represents a good candidate due to its simplicity. In this paper we propose a modified TESPAR algorithm for wildlife sound classification. Comparative results obtained with the TESPAR algorithm and with the new modified version are shown. The new method has been tested on a database consisting of 300 sound recordings and several types of noise have been considered to simulate different possible environments.
Marius Vasile Ghiurcau - One of the best experts on this subject based on the ideXlab platform.
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Wildlife intruder detection using sounds captured by acoustic sensors
2010 IEEE International Conference on Acoustics Speech and Signal Processing, 2010Co-Authors: Marius Vasile Ghiurcau, Corneliu Rusu, Radu Ciprian BilcuAbstract:In this paper we classify the sounds originated from humans, birds and cars. The motivation of such a classification is to detect the intruders into protected wildlife regions such as protected forests, lakes, and other natural reservations. The proposed algorithm for sound encoding and classification is Time Encoded Signal Processing and Recognition (TESPAR) combined with the archetypes technique. We have tested our method on a database consisting of 300 recordings, 100 for each class, and several types of noise (white Gaussian noise, rain sound and wind sound) have been added to the recordings in order to simulate the different outdoor environments. Several pre-processing steps have been included and tested in order to verify the improvement of the classification accuracy. We performed a downsampling from 8 kHz to 6 kHz of the original recordings, followed by band pass filtering and the results shown an increased efficiency of TESPAR in the classification process.
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A modified TESPAR algorithm for wildlife sound classification
Proceedings of 2010 IEEE International Symposium on Circuits and Systems, 2010Co-Authors: Marius Vasile Ghiurcau, Comeliu Rusu, Radu Ciprian BilcuAbstract:The application of sound classification for detecting intruders into protected wildlife regions has been addressed recently. For such an application, simple, yet robust, methods must be utilized since these systems usually are required to work in difficult conditions. The Time Encoded Signal Processing and Recognition (TESPAR) algorithm represents a good candidate due to its simplicity. In this paper we propose a modified TESPAR algorithm for wildlife sound classification. Comparative results obtained with the TESPAR algorithm and with the new modified version are shown. The new method has been tested on a database consisting of 300 sound recordings and several types of noise have been considered to simulate different possible environments.
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Vehicle sound classification. Application and low pass filtering influence
2009 International Symposium on Signals Circuits and Systems, 2009Co-Authors: Marius Vasile Ghiurcau, Corneliu RusuAbstract:The aim of this paper is to present a vehicle sound classification system, implemented on the Matlab platform. Then we focus on the results of the classification system when low pass filtering is performed. The system uses Time Encoded Signal Processing and Recognition (TESPAR) method combined with the archetypes technique. For low pass filtering, different Butterworth low pass filters were implemented. The experimental results show the efficiency of the Tespar method when dealing with vehicle sounds.
Vivek Mangal - One of the best experts on this subject based on the ideXlab platform.
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Sub-nW Wake-Up Receivers With Gate-Biased Self-Mixers and Time-Encoded Signal Processing
IEEE Journal of Solid-State Circuits, 2019Co-Authors: Vivek Mangal, Peter R. KingetAbstract:A fully integrated wake-up receiver in 65-nm low-power (LP) CMOS technology is presented. The receiver's RF front end consists of a 40-stage MOS self-mixer using gate biasing to optimize the sensitivity; the baseband circuits use time-Encoded analog Signals to efficiently implement a matched filter with a DC offset cancellation loop at minimal power consumption. When operating at 434 MHz, the receiver has a -79.1-dBm sensitivity with a 110-ms latency while consuming 420 pW from 0.4 V. When operating at 1.016 GHz with the same latency, the sensitivity is -74 dBm and power consumption is 470 pW.
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Clockless, Continuous-Time Analog Correlator Using Time-Encoded Signal Processing Demonstrating Asynchronous CDMA for Wake-Up Receivers
IEEE Journal of Solid-State Circuits, 1Co-Authors: Vivek Mangal, Peter R. KingetAbstract:A clockless, continuous-time (CT) analog correlator circuit realization is presented based on time-Encoded analog Signal processing. Voltage-controlled oscillators (VCOs) transform the analog voltage Signals into time-Encoded analog Signals and, in the process, perform Signal integration; CT, digital-style delay cells combined with phase-frequency detectors followed by capacitive summers implement a CT matched filter. The correlator prototype designed in 65-nm CMOS-LP technology consumes 37 nW from 0.54 V and is used in the baseband of a wake-up receiver to despread asynchronous code-division multiple access (CDMA) codes and demonstrate code-domain filtering for an 11-bit Barker code. The wake-up receiver's sensitivity is enhanced by 2 dB to -80.9 dBm for a missed detection ratio of 10⁻³, and its selectivity is improved by 5 dB, thanks to the use of the correlator. Simultaneous wake-up using CDMA is demonstrated with selective responses of the receiver to different desired codes in the presence of an undesired code.
Mario Martinelli - One of the best experts on this subject based on the ideXlab platform.
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Pulse Width Modulation for Fronthaul in a Broadband-Seeded RSOA WDM PON
IEEE Photonics Technology Letters, 2016Co-Authors: Paola Parolari, Alberto Gatto, Lorenzo Combi, Umberto Spagnolini, Romain Brenot, Mario MartinelliAbstract:Pulse width modulation (PWM) can support centralized radio access networks in analog optical fronthaul, avoiding the bandwidth expansion of the digital fronthaul. The PWM encodes the analog samples at the transmitter onto the duration of the on-off-keyed optical Signal, splitting the sampling and quantization of the radio Signal between remote radio units (RRUs) and baseband units (BBU). In-between the PWM Encoded Signal is transmitted over a novel wavelength-division-multiplexed passive optical network (WDM PON) architecture, exploiting broadband-seeded reflective semiconductor optical amplifiers in a polarization retracing circuit, which is resilient to Rayleigh scattering impairments. Multiple RRU-to-BBU links are supported through virtual point-to-point connections based on the wavelength resource. We demonstrate the performance of the proposed PWM-based colorless self-tuning WDM PON supporting the fronthaul of 100-MHz RF Signals up to 20-km transmission over standard single mode fiber for 30 WDM channels.