The Experts below are selected from a list of 249 Experts worldwide ranked by ideXlab platform
Jianping Yao - One of the best experts on this subject based on the ideXlab platform.
-
Photonic integrated field-programmable disk array Signal Processor
Nature Communications, 2020Co-Authors: Weifeng Zhang, Jianping YaoAbstract:FPGAs have long been of interest as reconfigurable circuits, but their electronic nature provides eventual limitations. Here the authors demonstrate a photonic digital Signal Processor that is field programmable using arrays of microdisk resonators. Thanks to the nature of strong programmability, field-programmable gate arrays (FPGAs) have been playing a significant role in Signal processing and control. With the explosive growth in digital data, big data analytics becomes an important emerging field, in which FPGAs are a major player. However, the computational speed and power efficiency provided by FPGAs are limited by electronic clock rates and Ohmic losses. To overcome the limitations, photonics is envisioned as an enabling solution, thanks to its ultrafast and low power consumption feature. In this paper, we propose a scalable photonic field-programmable disk array (FPDA) Signal Processor. Ultra-compact microdisk resonators are leveraged as a fundamental execution units in the core to route, store and process optical Signals. By field-programming the Processor, diverse circuit topologies can be realized to perform multiple specific Signal processing functions including filtering, temporal differentiation, time delay, beamforming, and spectral shaping.
-
A photonic integrated Signal Processor
Proceedings of SPIE, 2017Co-Authors: Jianping YaoAbstract:A photonic integrated Signal Processor based on the InP-InGaAsP material system consisting of a bypass waveguide and three mutually-coupled micro rings with each ring having two semiconductor optical amplifiers (SOAs) and a current-injection phase modulator (PM) for ultra-wideband Signal processing and microwave Signal generation is discussed. The Signal Processor can be reconfigured to perform Signal processing functions including temporal differentiation, and temporal integration. The reconfigurability is achieved by controlling the coupling between the rings and the bypass waveguide by a multi-mode interference (MMI) Mach-Zehnder interferometer (MZI) coupler and the injection currents to the SOAs. The current injection PM in a ring is used for wavelength tuning. In addition to Signal processing, the Signal Processor can also be reconfigured to operate as a microwave Signal generator. The generation a linearly chirped microwave waveform is discussed.
-
A fully reconfigurable photonic integrated Signal Processor
Nature Photonics, 2016Co-Authors: Weilin Liu, Robert S. Guzzon, Erik J. Norberg, John S. L. Parker, Larry A. Coldren, Jianping YaoAbstract:Photonic Signal processing has been considered a solution to overcome the inherent electronic speed limitations. Over the past few years, an impressive range of photonic integrated Signal Processors have been proposed, but they usually offer limited reconfigurability, a feature highly needed for the implementation of large-scale general-purpose photonic Signal Processors. Here, we report and experimentally demonstrate a fully reconfigurable photonic integrated Signal Processor based on an InP–InGaAsP material system. The proposed photonic Signal Processor is capable of performing reconfigurable Signal processing functions including temporal integration, temporal differentiation and Hilbert transformation. The reconfigurability is achieved by controlling the injection currents to the active components of the Signal Processor. Our demonstration suggests great potential for chip-scale fully programmable all-optical Signal processing. Scientists experimentally demonstrate a fully configurable photonic integrated Signal Processor based on an InP–InGaAs material system by controlling the injection currents to the active components.
Unto K Laine - One of the best experts on this subject based on the ideXlab platform.
-
a model for real time sound synthesis of guitar on a floating point Signal Processor
International Conference on Acoustics Speech and Signal Processing, 1991Co-Authors: Matti Karjalainen, Unto K LaineAbstract:Algorithms that can be used to synthesize guitar sounds on a floating-point Signal Processor are presented. A finite impulse response (FIR) Lagrange interpolator is introduced to implement the efficient and precise fractional delay approximation that is needed to achieve arbitrary and varying-length strings. This kind of interpolation is especially good in avoiding distortion and undesirable extra effects when the string length is changing continuously during the synthesis of a sound. The interpolator can also be used in other cases, e.g. in transmission-line modeling of acoustic tube resonators in wind instruments and for vocal tract models in speech synthesis. In addition to the interpolation principle, the implementation of the guitar string model on the TMS320C30 floating-point Signal Processor is described. >
M. Yamashina - One of the best experts on this subject based on the ideXlab platform.
-
Video Signal Processor (VSP) ULSIs for video data coding (in teleconferencing)
1993 International Symposium on VLSI Technology Systems and Applications Proceedings of Technical Papers, 1Co-Authors: T. Enomoto, M. YamashinaAbstract:The authors discuss progress achieved in the development of dedicated programmable real-time video Signal Processors (VSPs) for video data coding/decoding and of new technologies to improve VSP performance. A number of VSP LSIs are introduced, including a 14.5 MHz 16 bit Programmable Video Signal Processor (P-VSP), a 200 MHz 16 bit 0.8 mu m BiCMOS Super-high Speed Signal Processor (SSSP), a 250 MHz 16 bit 0.8 mu m BiCMOS Super-high-speed Video Signal Processor (S-VSP) and finally a 300 MHz 16 bit 0.5 mu m BiCMOS Video Signal Parallel-Pipeline Processor (VSP3) sufficient for encoding full-CIF data at 30 frames per second. >
Robert J. Dengler - One of the best experts on this subject based on the ideXlab platform.
-
An FPGA-Based Signal Processor for FMCW Doppler Radar and Spectroscopy
IEEE Transactions on Geoscience and Remote Sensing, 2020Co-Authors: Corey J. Cochrane, Ken B. Cooper, Stephen L. Durden, Raquel Monje, Robert J. DenglerAbstract:We report on the design and development of a field programmable gate array (FPGA)-based radar and spectrometer Signal Processor. It leverages an efficient implementation of a fixed-point frequency-modulated continuous-wave (FMCW) Doppler radar algorithm and has been demonstrated in a short-range W-band radar system developed for mapping plume and jet phenomena in the solar system. The Signal Processor also performs Fourier transform-based spectroscopy with a resolution, bandwidth, and averaging time appropriate for millimeter- and submillimeter-wave passive remote sensing in space. With a dc power consumption totaling only 3 W, the Processor helps make the Doppler radar and spectrometer instrument well-suited for spaceborne, airborne, or portable platforms. Here, we describe the fixed-point implementation of the radar and spectrometer algorithm, emphasizing its computational efficiency for low resource utilization, and provide examples of Doppler radar sensing of rain and spectrometer sensitivity to hot and cold blackbody loads.
A. Picco - One of the best experts on this subject based on the ideXlab platform.
-
ICASSP - VLSI Digital Signal Processor (PSI)
ICASSP '86. IEEE International Conference on Acoustics Speech and Signal Processing, 1Co-Authors: J.l. Laborie, D. Martin, J.c. Michalina, A. PiccoAbstract:This paper describes the new THOMSON SEMICONDUCTEURS Programmable Signal Processor (PSI), its design approach and its development support tools. Two PSI versions are provided : microProcessor (84 pins) and microcomputer (48 pins). The power of PSI has been specially demonstrated in communication where for example, a V 32 modem is realized by two PSI and a dedicated analog interface.
