A low dispersion ring-core ZBLAN fiber is designed and simulated for broadband OAM supercontinuum generation. A 4117-nm supercontinuum is generated spanning from 863 nm to 4980 nm at -40 dB, covering a bandwidth over ...
详细信息
In the ever-evolving field of digital communication systems, complex-valued neural networks (CVNNs) have become a cornerstone, delivering exceptional performance in tasks like equalization, channel estimation, beamfor...
详细信息
ISBN:
(数字)9798350343199
ISBN:
(纸本)9798350343205
In the ever-evolving field of digital communication systems, complex-valued neural networks (CVNNs) have become a cornerstone, delivering exceptional performance in tasks like equalization, channel estimation, beamforming, and decoding. Among the myriad of CVNN architectures, the phase-transmittance radial basis function neural network (PT-RBF) stands out, especially when operating in noisy environments such as 5G MIMO systems. Despite its capabilities, achieving convergence in multi-layered, multi-input, and multi-output PT-RBFs remains a daunting challenge. Addressing this gap, this paper presents a novel Deep PT-RBF parameter initialization technique. Through rigorous simulations conforming to 3GPP TS 38 standards, our method not only outperforms conventional initialization strategies like random, K-means, and constellation-based methods but is also the only approach to achieve successful convergence in deep PT-RBF architectures. These findings pave the way to more robust and efficient neural network deployments in complex digital communication systems.
In the ever-evolving field of artificial neural networks and learning systems, complex-valued neural networks (CVNNs) have become a cornerstone, achieving exceptional performance in image processing and telecommunicat...
详细信息
ISBN:
(数字)9798350362510
ISBN:
(纸本)9798350362527
In the ever-evolving field of artificial neural networks and learning systems, complex-valued neural networks (CVNNs) have become a cornerstone, achieving exceptional performance in image processing and telecommunications. More precisely, in digital communication systems, CVNNs have been delivering significant results in tasks like equalization, channel estimation, beamforming, and decoding. Among the CVNN architectures, the complex-valued radial basis function neural network (C-RBF) stands out, especially when operating in noisy environments such as 5G multiple-input multiple-output (MIMO) systems. In such a context, this paper extends the classical shallow C-RBF to deep architectures, increasing its flexibility for a wider range of applications. Also, based on the parameter selection of the phase transmittance radial basis function (PT-RBF) neural network, we propose an initialization scheme for the deep C-RBF. Via rigorous simulations conforming to 3GPP TS 38 standards for digital communications, our method not only outperforms conventional initialization strategies like random, K-means, and constellation-based methods but it also seems to be the only approach to achieve successful convergence for deep C-RBF architectures. These findings pave the way to more robust and efficient neural network deployments in complex-valued digital communication systems.
The efficiency of operations in complex environments such as factories increasingly relies on the coordinated efforts of multiple robots. This paper introduces a novel scheduling system designed for the effective coor...
详细信息
ISBN:
(数字)9798350374216
ISBN:
(纸本)9798350374223
The efficiency of operations in complex environments such as factories increasingly relies on the coordinated efforts of multiple robots. This paper introduces a novel scheduling system designed for the effective coordination of robot fleets, directly addressing the challenges inherent in multi-robot collaborative transportation. Our system introduces a standard-ized data format for network communication, facilitating seam-less interaction among robots, and incorporates a sophisticated collision avoidance strategy for safe simultaneous navigation. Additionally, we implement a visualization interface for real-time scheduling oversight, enhancing operational management and efficiency. Utilizing FastDDS for communication scheduling, QT for interface design, and ROS1 for robot control, our system is rigorously validated through extensive simulation experiments. These experiments demonstrate our system's capability to not only effectively manage multi-robot operations but also to execute tasks with a high degree of precision and reliability.
We design a Ge-doped double-ring-core fiber to generate five OAM dispersive waves when pumped within the normal dispersion regime. This configuration holds promise for the development of highly coherent OAM superconti...
详细信息
This paper proposes a non-iterative LMI-based design strategy for guaranteed cost static output feedback controllers for linear systems. The proposed design approach is based on the well-known necessary and sufficient...
详细信息
Quaternion algebra has been used to apply the fractional Fourier transform(FrFT)to color images in a comprehensive ***,the discrete fractional random transform(DFRNT)with adequate basic randomness remains to be *** pa...
详细信息
Quaternion algebra has been used to apply the fractional Fourier transform(FrFT)to color images in a comprehensive ***,the discrete fractional random transform(DFRNT)with adequate basic randomness remains to be *** paper presents a novel multistage privacy system for color medical images based on discrete quaternion fractional Fourier transform(DQFrFT)watermarking and three-dimensional chaotic logistic map(3D-CLM)***,we describe quaternion DFRNT(QDFRNT),which generalizes DFRNT to handle quaternion signals effectively,and then use QDFRNT to perform color medical image adaptive *** efficiently evaluate QDFRNT,this study derives the relationship between the QDFRNT of a quaternion signal and the four components of the DFRNT ***,it uses the human vision system's(HVS)masking qualities of edge,texture,and color tone immediately from the color host image to adaptively modify the watermark strength for each block in the color medical image using the QDFRNT-based adaptive watermarking and support vector machine(SVM)*** limitations of watermark embedding are also explained to conserve watermarking ***,3D-CLM encryption is employed to improve the system's security and efficiency,allowing it to be used as a multistage privacy *** proposed security system is effective against many types of channel noise attacks,according to simulation results.
This project bestows a heart rate monitoring system harnessing Internet of Things (IoT) technologies, focused at supplying concurrent cardiac health apprehension. The system incorporates a Bluetooth module, an Arduino...
详细信息
ISBN:
(数字)9798331506452
ISBN:
(纸本)9798331506469
This project bestows a heart rate monitoring system harnessing Internet of Things (IoT) technologies, focused at supplying concurrent cardiac health apprehension. The system incorporates a Bluetooth module, an Arduino microcontroller, and a heart rate sensor for wireless heart rate data transmission and constant tracking. To enumerate the individual's heart rate in beats per minute (BPM), the Arduino plies the real-time data composed by the heart rate sensor, which is rooted on technologies like Photo plethysmography (PPG) or Electrocardiography (ECG). The system's categorization of the heart rate into three categories: low (bradycardia), normal, and high (tachycardia) makes the real-time tracking and alarms rooted on predetermined thresholds plausible. Bluetooth is opted as the communication protocol because of its short-range reliability and low battery consumption which permits efficacious data transmission to smart devices like smartphones along with smartwatches. The companion app displays the heart rate details, documents past patterns, and resonates an alarm if any readings are unaccustomed. As this gadget supports dynamic cardiac health management by presenting constant, real-time tracking and easily illustrable data, this device becomes a functional tool for people with cardiovascular issues or who just want trace their heart health on a regular basis.
In this paper, a vector-sum active bi-directional phase shifter (VABPS) is proposed that operates in the Ku-band and has low RMS gain and phase error with low power consumption. The 3-stack switch-less staggered struc...
详细信息
ISBN:
(数字)9798350375046
ISBN:
(纸本)9798350375053
In this paper, a vector-sum active bi-directional phase shifter (VABPS) is proposed that operates in the Ku-band and has low RMS gain and phase error with low power consumption. The 3-stack switch-less staggered structure is unveiled, facilitating identical input and output (IO) matching. This feature significantly enhances the reliability of bi-directional phase-shift operations by mitigating both gain and phase errors. A transformer based hybrid coupler is adopted for generating accurate I and Q signals, followed by a bi-phase modulator that is utilized to create 180° phase inversion of I and Q signals. The proposed VABPS supports a 6-bit resolution with a phase shift range of 360°, and has an RMS phase error of less than 2° and a gain error of less than 0.6 dB. It consumes about 15.8 mW and has a chip size of 1.25 x 1.08 mm
2
,
暂无评论