Topological horseshoe analysis and field-programmable gate array implementation of a fractional-order four-wing chaotic attractor

We present a fractional-order three-dimensional chaotic system, which can generate four-wing chaotic attractor. Dy- namics of the fractional-order system is investigated by numerical simulations. To rigorously verify the chaos properties of this system, the existence of horseshoe in the four-wing attractor is presented. Firstly, a Poincar6 section is selected properly, and a first-return Poincar6 map is established. Then, a one-dimensional tensile horseshoe is discovered, which verifies the chaos existence of the system in mathematical view. Finally, the fractional-order chaotic attractor is imple- mented physically with a field-programmable gate array （FPGA） chip, which is useful in further engineering applications of information encryption and secure communications.

多通道并行TD-LTE小区搜索架构设计与FPGA实现

移动终端通过小区搜索完成与网络的接入工作。为了更快地完成时分长期演进(time division long term evolution,TD-LTE)系统小区搜索过程,与传统数字信号处理(digital signal processing,DSP)串行模式对比,从速度和面积两方面综合考虑,提出一种基于现场可编程门阵列(field programmable gate array,FPGA)的多通道并行小区搜索架构。主要工作集中在小区搜索整体方案设计和FPGA硬件实现上,在算法上对整个小区搜索算法架构进行了改进,同时根据硬件需求,利用以时钟换取速度的思想对FPGA硬件实现架构进行了优化。采用多通道并行高速乘法器进行序列相关检测和动态门限配置的方法,大大缩短了TD-LTE小区搜索的处理时间。并以Altera的EP4SGX230KF40C2芯片作为硬件平台进行了Modelsim功能仿真、板级验证等工作。实验结果表明,该设计方案的处理速度和数据精度均满足TD-LTE系统测试要求,性能远优于传统的DSP架构模式,可以应用到实际工程中。

基于DSP-FPGA的通用数字控制器硬件设计

为了使通用数字控制器的硬件电路与软件程序标准化和模块化,提高数字控制器的实时性、稳定性、抗干扰性,介绍了一种基于DSP+FPGA系统架构的通用数字控制器硬件设计,对控制器及主CPU板的设计方案、主CPU板上的电源管理电路、数字信号处理器DSP及其外围设计、现场可编程门阵列FPGA的配置电路、总线驱动电路作了详细说明。实际应用验证了该数字控制器硬件设计的正确性和可靠性。

基于FPGA的Web服务定时系统设计与实现

根据现代高速网络及高Web服务性能的应用需求,提出一种基于现场可编程门阵列的Web服务器定时系统,实现定时服务模块及子模块的设计与验证。给出其与嵌入式RAM等其他硬件实现的对比和分析。该系统的时钟频率达125 MHz,可实现10万个客户端连接数的毫秒级定时服务设计要求,并移植到专用Web服务器的ASIC中。

基于FPGA技术的变频调速系统设计

在基于异步电动机稳态模型的基础上,应用电压空间矢量PWM技术,并以FPGA作为核心控制元件实现变频调速。在分析电压空间矢量与磁链矢量关系的基础上,以在电动机空间形成圆形旋转磁场为依据,得出矢量合成公式,通过编写运算模块生成输出波形。采用FPGA进行设计可简化系统的硬件结构,降低成本,并显著提高系统的处理能力。

基于FPGA的高速RS编解码器设计与实现

详细介绍了RS(255,191)编解码器的设计,按照自上而下的设计流程给出了算法的FPGA实现。根据编解码器的不同特点,采用不同方法实现GF(28)乘法器。编码器采用并行结构、解码器采用并行无逆的BM算法实现关键模块,求逆器采用查表方法。采用以上方法的组合,使得在资源占用允许的同时最大限度地提高了编解码速度。

基于FPGA的Prewitt边缘检测算子的实现

主要探讨基于FPGA的prewitt边缘检测的实现,分析prewitt边缘检测算法处理图像的效果.据FPGA的并行流水线性以及FPGA处理简单方便,结合Prewitt边缘检测算法的基本原理,利用FPGA对其进行了设计、实现,通过quartus II软件进行编程,利用modelsim、matlab软件进行仿真和数据获取,最后利用以上获取的数据通过matlab进行图像处理.

一种基于FPGA的开关中值滤波算法研究

去除噪声是数字图像处理过程中的一个重要问题,对实时性要求高的系统而言,还要有足够的速度。文章基于现场可编程门阵列(field-programmable gate array,FPGA)处理图像并行特性,提出了一种适宜于FPGA实现的开关中值滤波算法,该算法利用求中值过程中计算所得的极值,通过比较极值起到开关作用;设计了开关中值滤波器的硬件架构,并对其进行仿真、分析和说明。Matlab仿真结果表明,该算法可以有效地去除图像的椒盐噪声,能更好地保护图像细节。

基于FPGA的1553B总线控制器设计与实践

设计了一种基于FPGA的1553B总线控制系统,用于RS-422接口和1553B总线接口之间的数字量转换和传输。文中详细阐述了该系统的硬件电路,BC模式配置和FPGA控制逻辑的设计方法,来说明系统功能的实现过程。采用FPGA作为主控制器,对1553B接口芯片进行了配置,给出了程序设计流程和控制时序。测试结果表明,该系统完全满足实际工程需要,具有很高的可靠性,并且已成功运用于某工程应用项目中。

基于FPGA的千兆以太网协议分析技术

该文主要阐述在FPGA(Field-Programmable Gate Array)内千兆以太网协议数据流帧的生成、编码、组帧、解帧及协议帧分析,详细地阐述了BCM5421和FPGA组合的硬件设计技术、协议发生的FPGA设计技术、协议解码、过滤、性能分析的FPGA设计技术等关键技术的实现途径。

基于FPGA的高速加密芯片的设计与实现

以非线性组合函数和线性反馈移位寄存器(LFSR:L inear Feedback Sh iftRegisters)为基础,利用可编程逻辑门阵列(FPGA:F ield-Programm ab le Gate Array)设计了一个高速加密芯片。该芯片既能满足密码学领域对密钥序列的高质量要求,又能满足保密通信领域高速度要求。介绍了加密芯片的设计理论、设计过程、加密芯片安全性分析和硬件实现,最后对密钥流进行了随机性统计测试。

基于FPGA的千兆级AFDX端系统设计与实现

传统航空电子全双工交换式以太网(AFDX)带宽为10 Mbit/s或100 Mbit/s。为满足机载网络对带宽增长的需求,必须进行千兆级AFDX的研究。AFDX端系统是AFDX网络的重要组成部分,为航空电子子系统接入AFDX网络提供了接口,保证航空电子子系统之间进行安全可靠的数据交换。着重研究了千兆级AFDX端系统,给出了基于现场可编程门阵列(FPGA)的千兆级AFDX端系统的设计。

Searching for complete set of free resource rectangles on FPGA area based on CPTR

As a coprocessor, field-programmable gate array （FPGA） is the hardware computing processor accelerating the computing capacity of coraputers. To efficiently manage the hardware free resources for the placing of tasks on FPGA and take full advantage of the partially reconfigurable units, good utilization of chip resources is an important and necessary work. In this paper, a new method is proposed to find the complete set of maximal free resource rectangles based on the cross point of edge lines of running tasks on FPGA area, and the prove process is provided to make sure the correctness of this method.

FPGA-based acceleration for binary neural networks in edge computing

As a core component in intelligent edge computing,deep neural networks(DNNs)will increasingly play a critically important role in addressing the intelligence-related issues in the industry domain,like smart factories and autonomous driving.Due to the requirement for a large amount of storage space and computing resources,DNNs are unfavorable for resource-constrained edge computing devices,especially for mobile terminals with scarce energy supply.Binarization of DNN has become a promising technology to achieve a high performance with low resource consumption in edge computing.Field-programmable gate array(FPGA)-based acceleration can further improve the computation efficiency to several times higher compared with the central processing unit(CPU)and graphics processing unit(GPU).This paper gives a brief overview of binary neural networks(BNNs)and the corresponding hardware accelerator designs on edge computing environments,and analyzes some significant studies in detail.The performances of some methods are evaluated through the experiment results,and the latest binarization technologies and hardware acceleration methods are tracked.We first give the background of designing BNNs and present the typical types of BNNs.The FPGA implementation technologies of BNNs are then reviewed.Detailed comparison with experimental evaluation on typical BNNs and their FPGA implementation is further conducted.Finally,certain interesting directions are also illustrated as future work.

Design and implementation of LDPC encoder based on FPGA

A low density parity check(LDPC)encoder with the codes of(8176,7154)and encoding rate of 7/8 under CCSDS standard for near space communication is designed.Based on LDPC encoding theory,the FPGA-based coding algorithm is designed.Based on the characteristics of LDPC generating matrix,the cyclic shift register is introduced as the core of the encoding circuit,and the shift-register-Adder-Accumulator(SRAA)structure is adopted to realize the fast calculation of matrix multiplication,so as to construct the encoding module with partial parallel encoding circuit as the core.In addition,the serial port input and output module,RAM storage module and control module are also designed,which together constitute the encoder system.The design scheme is implemented by FPGA hardware and verified by simulation and experiment.The results show that the test results of the designed LDPC encoder are consistent with the theoretical results.Therefore,the coding system is practical,and the design method is simple and efficient.

ARCHITECTURE MODEL AND RESOURCE GRAPH BUILDING ALGORITHM FOR DETAILED FPGA ARCHITECTURE DESIGN

This paper addresses the issue of designing the detailed architectures of Field-Programmable Gate Arrays(FPGAs), which has a great impact on the overall performances of an FPGA in practice. Firstly, a novel FPGA architecture description model is proposed based on an easy-to-use file format known as YAML. This format permits the description of any detailed architecture of hard blocks and channels. Then a general algorithm of building FPGA resource graph is presented. The proposed model is scalable and capable of dealing with detailed architecture design and can be used in FPGA architecture evaluation system which is developed to enable detailed architecture design. Experimental results show that a maximum of 16.36% reduction in total wirelength and a maximum of 9.34% reduction in router effort can be obtained by making very little changes to detailed architectures, which verifies the necessity and effectiveness of the proposed model.

FPGA implementation of fractal patterns classifier for multiple cardiac arrhythmias detection

This paper proposes the fractal patterns classifier for multiple cardiac arrhythmias on field-programmable gate array (FPGA) device. Fractal dimension transformation (FDT) is employed to adjoin the fractal features of QRS-complex, including the supraventricular ectopic beat, bundle branch ectopic beat, and ventricular ectopic beat. FDT with fractal dimension (FD) is addressed for constructing various symptomatic patterns, which can produce family functions and enhance features, making clear differences between normal and unhealthy subjects. The probabilistic neural network (PNN) is proposed for recognizing multiple cardiac arrhythmias. Numerical experiments verify the efficiency and higher accuracy with the software simulation in order to formulate the mathematical model logical circuits. FDT results in data self-similarity for the same arrhythmia category, the number of dataset requirement and PNN architecture can be reduced. Its simplified model can be easily embedded in the FPGA chip. The prototype classifier is tested using the MIT-BIH arrhythmia database, and the tests reveal its practicality for monitoring ECG signals.

Efficient multiuser detector based on box-constrained deregularization and its FPGA design

Multiuser detection can be described as a quadratic optimization problem with binary constraint. Many techniques are available to find approximate solution to this problem. These tech- niques can be characterized in terms of complexity and detection performance. The ＂efficient frontier＂ of known techniques include the decision-feedback, branch-and-bound and probabilistic data association detectors. The presented iterative multiuser detection technique is based on joint deregularized and box-constrained so- lution to quadratic optimization with iterations similar to that used in the nonstationary Tikhonov iterated algorithm. The deregulari- zation maximizes the energy of the solution, this is opposite to the Tikhonov regularization where the energy is minimized. However, combined with box-constraints, the deregularization forces the solution to be close to the binary set. We further exploit the box- constrained dichotomous coordinate descent （DCD） algorithm and adapt it to the nonstationary iterative Tikhonov regularization to present an efficient detector. As a result, the worst-case and aver- age complexity are reduced down to K28 and K2~ floating point operation per second, respectively. The development improves the ＂efficient frontier＂ in multiuser detection, which is illustrated by simulation results. Finally, a field programmable gate array （FPGA） design of the detector is presented. The detection performance obtained from the fixed-point FPGA implementation shows a good match to the floating-point implementation.

A real-time 5/3 lifting wavelet HD-video de-noising system based on FPGA

In accordance with the application requirements of high definition(HD) video surveillance systems,a real-time 5/3 lifting wavelet HD-video de-noising system is proposed with frame rate conversion(FRC) based on a field-programmable gate array(FPGA),which uses a 3-level pipeline paralleled 5/3 lifting wavelet transformation and reconstruction structure,as well as a fast BayesS hrink adaptive threshold filtering module.The proposed system demonstrates de-noising performance,while also balancing system resources and achieving real-time processing.The experiments show that the proposed system's maximum operating frequency(through logic synthesis and layout using Quartus 13.1 software) can reach 178 MHz,based on the Altera Company's Stratix III EP3SE80 series FPGA.The proposed system can also satisfy real-time de-noising requirements of 1920 × 1080 at60 fps HD-video sources,while also significantly improving the peak signal to noise rate of the denoising images.Compared with similar systems,the system has the advantages of high operating frequency,and the ability to support multiple source formats for real-time processing.

Implementation of motion estimator algorithm with 1/4 pixel accuracy based on FPGA

After research on the motion estimation algorithm in video coding, a motion estimator algorithm with 1/4 pixel ac- curacy is implemented based on fie/d-programmable gate array （FPGA）. The motion estimation algorithm module is made up of the 1[4 pixel interpolation module with serial input and parallel output, the three step search module and the block match- ing module, which can use relatively less Wiener filters for interpolation operation. Experiment results show that the hard- ware design has less consumption of the logical resource, higher stability and lower power consumption.