Results 61 to 70 of about 22,442 (264)
Cognitive radio (CR) is considered to be an effective approach to eliminate the dilemma of spectrum shortage. To meet the ever-increasing demands of instant and accurate spectrum sensing in CR with wideband and multi-frequency-slots, a novel wideband ...
Peihan Qi, Yi Du, Danyang Wang, Zan Li
doaj +1 more source
AI-Enabled Compressive Spectrum Classification for Wideband Radios
Cognitive radio is a promising technology that emerged as a potential solution to the spectrum shortage problem by enabling opportunistic spectrum access.
Tassadaq Nawaz +1 more
doaj +1 more source
Wideband Sequential Spectrum Sensing with Varying Thresholds [PDF]
In this contribution, time varying threshold sequential detectors are employed for energy detection-based spectrum sensing in low- SNR regimes. Sequential detection is proven to be faster (on average) than any other multi-sample detector for a set of given probabilities of detection and false-alarm.
Kasra Haghighi +2 more
openaire +1 more source
Three‐dimensional Antimony Sulfide Based Flat Optics
This work presents the development of a grayscale electron beam lithography (g‐EBL) method for fabricating antimony trisulfide (Sb2S3) nanostructures with customizable 3D profiles. The refractive index of g‐EBL patterned Sb2S3 is determined based on the synergy of genetic algorithm and transfer matrix method.
Wei Wang +18 more
wiley +1 more source
Compressive Identification of Active OFDM Subcarriers in Presence of Timing Offset
In this paper we study the problem of identifying active subcarriers in an OFDM signal from compressive measurements sampled at sub-Nyquist rate. The problem is of importance in Cognitive Radio systems when secondary users (SUs) are looking for available
Cabric, Danijela +2 more
core +1 more source
Spectrally Tunable 2D Material‐Based Infrared Photodetectors for Intelligent Optoelectronics
Intelligent optoelectronics through spectral engineering of 2D material‐based infrared photodetectors. Abstract The evolution of intelligent optoelectronic systems is driven by artificial intelligence (AI). However, their practical realization hinges on the ability to dynamically capture and process optical signals across a broad infrared (IR) spectrum.
Junheon Ha +18 more
wiley +1 more source
Sub-Nyquist Sampling: Bridging Theory and Practice [PDF]
Sampling theory encompasses all aspects related to the conversion of continuous-time signals to discrete streams of numbers. The famous Shannon-Nyquist theorem has become a landmark in the development of digital signal processing. In modern applications,
Eldar, Yonina C., Mishali, Moshe
core +1 more source
A vertically stacked, DEA‐driven photonic array inspired by cephalopod skin, featuring highly crystalline colloidal crystal gels with vivid color, low FWHM and scalability is presented. The multilayer design removes lateral pixel interference, achieving near‐100% fill factor with fully independent RGB actuation.
Maga Kim +11 more
wiley +1 more source
Viscoelasticity‐driven instabilities are harnessed to create tunable, periodic textures in 3D‐printed liquid crystalline polymers. This study illustrates how processing parameters control these spontaneous meso‐scale patterns. These unique structural architectures unlock new possibilities for functional devices, ranging from photonic components to ...
Miaomiao Zou +17 more
wiley +1 more source
Compressive Wideband Spectrum Sensing for Fixed Frequency Spectrum Allocation
Too high sampling rate is the bottleneck to wideband spectrum sensing for cognitive radio (CR). As the survey shows that the sensed signal has a sparse representation in frequency domain in the mass, compressed sensing (CS) can be used to transfer the sampling burden to the digital signal processor. An analog to information converter (AIC) can randomly
Liu, Yipeng, Wan, Qun
openaire +2 more sources

