共查询到20条相似文献，搜索用时 15 毫秒
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针对分形编码算法编码时间太长、精度控制需要细分等缺点提出对编码图像进行分级逼近的新的分形编码算法．对这一思想的可行性在理论上进行了有益的探索,给出了该算法成立的理论基础,并得出了任给一图像,都可以找出一组压缩变换,使得从任意图像出发,经该组变换压缩迭代后重构原始图像的新的构造性证明．给出一个新的具体实现分形编码的算法．实验表明,在提高压缩比和图像恢复质量的同时,运算时间也大大缩短 相似文献
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We studied the mobility of DNA molecules driven by an electric field through a nanofluidic device containing a periodic array of deep and shallow regions termed entropic traps. The mobility of a group of DNA molecules was measured by fluorescent video microscopy. Since the depth of a shallow region is smaller than the DNA equilibrium size, DNA molecules are trapped for a characteristic time and must compress themselves to traverse the boundary between deep and shallow regions. Consistent with previous experimental results, we observed a nonlinear relationship between the mobility and electric field strength, and that longer DNA molecules have larger mobility. In repeated measurements under seemingly identical conditions, we measured fluctuations in the mobility significantly larger than expected from statistical variation. The variation was more pronounced for lower electric field strengths where the trapping time is considerable relative to the drift time. To determine the origin of these fluctuations, we investigated the dependence of the mobility on several variables: DNA concentration, ionic strength of the solvent, fluorescent dye staining ratio, electroosmotic flow, and electric field strength. The mobility fluctuations were moderately enhanced in conditions of reduced ionic strength and electroosmotic flow. 相似文献
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An LMS adaptive algorithm with a new step-size control equation 总被引：2，自引：0，他引：2
In this paper, we introduce a new variable step-size LMS (VSSLMS) adaptive algorithm. The algorithm step-size equations estimate an optimal derived step-size and are controlled by only one parameter. Mean-square performance analysis is provided for zero-mean stationary Gaussian input signal, and a simple expression that predicts the algorithm steady state misadjustment is derived for small step-size fluctuations. The algorithm is compared with other well-known VSSLMS algorithms through simulation experiments, which demonstrate the performance advantages of the proposed algorithm over these algorithms. 相似文献
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The chaos characteristics of melt index have been first explored, and the Hilbert–Huang transform method and time delay embedding method are applied to multiscale dynamic analysis on the time series of the melt index (MI) in the propylene polymerization industry. The research results show that the embedding delay is 2, the embedding dimension is 5, the correlation dimension D2 is 1.57, and the maximum Lyapunov exponent is 0.143 for the melt index series, which provide clear evidence of chaotic multiscale features in the propylene polymerization process. Three intrinsic mode functions (IMFs) are decomposed from the melt index time series; the presence of non-integer fractal correlation dimension and positive finite maximum Lyapunov exponent are found in some IMF components. The PP melt index series are divided into two chaotic signals, a determined signal and a random signal respectively, and its complexity is therefore reduced. Furthermore, the coupling of subscale structures of the propylene polymerization is explored with the dimension of interaction dynamics and a robust algorithm for detecting interdependence. It is found that IMF(2) is the main driver in the coupling system of IMF(1)and IMF(2). All these provide a guideline for studying propylene polymerization process with chaotic multiscale theory and may offer more candidate tools to model and control propylene polymerization system in the future. 相似文献
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《Information processing & management》2022,59(5):103001
Brain–computer interface (BCI) is a promising intelligent healthcare technology to improve human living quality across the lifespan, which enables assistance of movement and communication, rehabilitation of exercise and nerves, monitoring sleep quality, fatigue and emotion. Most BCI systems are based on motor imagery electroencephalogram (MI-EEG) due to its advantages of sensory organs affection, operation at free will and etc. However, MI-EEG classification, a core problem in BCI systems, suffers from two critical challenges: the EEG signal’s temporal non-stationarity and the nonuniform information distribution over different electrode channels. To address these two challenges, this paper proposes TCACNet, a temporal and channel attention convolutional network for MI-EEG classification. TCACNet leverages a novel attention mechanism module and a well-designed network architecture to process the EEG signals. The former enables the TCACNet to pay more attention to signals of task-related time slices and electrode channels, supporting the latter to make accurate classification decisions. We compare the proposed TCACNet with other state-of-the-art deep learning baselines on two open source EEG datasets. Experimental results show that TCACNet achieves 11.4% and 7.9% classification accuracy improvement on two datasets respectively. Additionally, TCACNet achieves the same accuracy as other baselines with about 50% less training data. In terms of classification accuracy and data efficiency, the superiority of the TCACNet over advanced baselines demonstrates its practical value for BCI systems. 相似文献
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《Information processing & management》2020,57(6):102302
With the increasing growth of video data, especially in cyberspace, video captioning or the representation of video data in the form of natural language has been receiving an increasing amount of interest in several applications like video retrieval, action recognition, and video understanding, to name a few. In recent years, deep neural networks have been successfully applied for the task of video captioning. However, most existing methods describe a video clip using only one sentence that may not correctly cover the semantic content of the video clip. In this paper, a new multi-sentence video captioning algorithm is proposed using a content-oriented beam search approach and a multi-stage refining method. We use a new content-oriented beam search algorithm to update the probabilities of words generated by the trained deep networks. The proposed beam search algorithm leverages the high-level semantic information of an input video using an object detector and the structural dictionary of sentences. We also use a multi-stage refining approach to remove structurally wrong sentences as well as sentences that are less related to the semantic content of the video. To this intent, a new two-branch deep neural network is proposed to measure the relevance score between a sentence and a video. We evaluated the performance of the proposed method with two popular video captioning databases and compared the results with the results of some state-of-the-art approaches. The experiments showed the superior performance of the proposed algorithm. For instance, in the MSVD database, the proposed method shows an enhancement of 6% for the best-1 sentences in comparison to the best state-of-the-art alternative. 相似文献
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在深入分析小波脊原理的基础上,针对数字信号瞬时频率提取精度要求,利用小波脊提取数字信号的瞬时频率,并对方法的初始值设置、解析小波参数设置和估计精度设置等关键问题进行了分析并改进.实际信号实验表明,改进算法鲁棒性明显增强,实用价值较大. 相似文献
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分形市场理论从动力学和几何学的角度探讨金融系统的复杂非线性特征,突破传统金融整数维的概念引入了分数维,成为研究金融市场特征的有效分析工具。本文运用多重分形消除趋势波动分析方法(MF-DFA),对上海和新加坡的燃料油价格序列进行多重分形特征对比分析,研究发现燃料油价格收益率不符合传统金融理论的随机游走特征,市场具有显著的长期记忆性,广义Hurst指数随波动函数的阶数变化而变化;燃料油期货市场不是一个有效资本市场,并不遵循传统的随机游走特征,是一个典型的多重分形市场。此外,多重分形谱研究表明上海燃料油期货市场的多重分形谱更宽,其分形波动特征更显著,不能采用单一标度指标描述。 相似文献
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压缩感知理论是利用信号的稀疏性,采用重构算法通过少量的观测值就可以实现对该信号的精确重构。SL0（Smoothed l0）算法是基于l0范数的稀疏信号重构算法,通过控制参数逐步逼近最优解。针对平滑函数的选取问题,文章提出一种新的平滑函数序列近似l0范数,实现稀疏信号的精确重构。仿真结果表明,在相同实验条件下文章算法较传统算法有着较高的重构概率。 相似文献
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分形在图书馆学情报学中的应用研究 总被引：1，自引：0，他引：1
分形理论等非线性科学的理论已成为当今研究复杂系统的重要思想和方法,本文从三个方面初步探讨了分形在图情学中的应用：（1）分形与文献计量学;（2）分形与知识管理;（3）分形与图书馆。并指出了分形论对图情学研究的意义。 相似文献
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提出了一种基于经验模式分解去斑和顶帽变换背景不均匀的预处理方法. 经验模式分解去斑算法先对图像每一列进行经验模式分解得到IMF函数,然后将原信号与第一、二模态相减得到初步处理图像,再对该图像每一行重复该操作从而得到去斑图像,该算法有效地去除斑点噪声;顶帽变换则有效地补偿了海浪带来的局部不均匀的背景亮度,提高了图像的信杂比,有利于目标的检测. 仿真结果证明了算法的有效性. 相似文献
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Efficient depth selection for the implementation of noisy quantum approximate optimization algorithm
《Journal of The Franklin Institute》2022,359(18):11273-11287
Noise on near-term quantum devices will inevitably limit the performance of Quantum Approximate Optimization Algorithm (QAOA). One significant consequence is that the performance of QAOA may fail to monotonically improve with control depth. In principle, optimal depth can be found at a certain point where the noise effects just outweigh the benefits brought by increasing the depth. In this work, we propose to use the regularized model selection algorithm to identify the optimal depth with just a few iterations of regularization parameters. Numerical experiments show that the algorithm can efficiently locate the optimal depth under relaxation and dephasing noises. 相似文献
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高校理工科学生科技伦理意识的问题与对策 《科学学研究》2017,35(7):967-974
科技伦理意识是科技人员重要的基础素质。通过对全国几十所高校进行问卷调查发现,当前青年科技人员在科技伦理意识方面存在着观念错位、认识不均衡、知行不统一等问题,而这些问题的主要原因在于科技伦理教育不够深入、学科地位不够、平台不完善、教学手段不足。基于问卷调查的结果,提出了加强科技伦理教育,切实提高青年科技人员科技伦理意识的对策建议。 相似文献
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鄱阳湖南矶湿地植物群落分布特征研究 总被引：13，自引：0，他引：13
湿地植物群落是湿地生态系统的重要组分,是湿地生态系统的主要初级生产者,维持和承载着湿地生态系统各种各样的物理过程和生物功能,其结构、功能和生态特征能综合反映湿地生态环境的基本特点和功能特性.湖泊湿地水位波动及其带来的环境梯度变化对湿地植物群落的影响是生态学中的重要问题之一.本研究通过2010年10月到2012年2月在鄱阳湖南矶湿地设置57个固定样方开展植物群落的高度、植物种类、数量,优势种高度及植物的物候学特征逐月观测,研究了鄱阳湖南矶湿地植物群落生长发育过程以及植物群落时空变化特征,并且对这些特征的可能形成原因以及其和鄱阳湖水位波动的关系等进行了探讨.结果认为,受鄱阳湖水位周期性波动和湿地植物自身特性等因素的影响,鄱阳湖南矶湿地植物群落生长、发育、繁殖等过程都与鄱阳湖水位波动密切相关;植物群落空间上沿距湖岸的远近、高程和水位梯度呈现出明显的环带状分布或弧状分布格局;时间上表现出明显的季相变化特征. 相似文献
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混沌时间序列最大Lyapunov指数的计算 总被引：11，自引：0，他引：11
考虑到已有的计算最大Lyapunov指数的方法具有结果不准确或计算烦难的不足，我们提出了计算最大Lyapunov指数的新方法。此方法先在虚假领域概念基础上确定最佳嵌入参数，然后根据最大Lyapunov指数的定义计算其值，这样，使得此方法在理论上可靠，实施容易，克服了已有方法的不足。最后的应用实例对此进行了验证。 相似文献
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《Journal of The Franklin Institute》2002,339(6-7):499-520
In this paper we are concerned with the problems of (1) tracking or estimating the unknown, time-varying instantaneous frequency (IF) of a chirp signal from a multi-component signal (we assume our multi-component signal to be formed of additive chirp signals, disjoint in the time–frequency domain, and Gaussian noise) and (2) reconstructing a specific chirp signal based on the estimate of its IF found at (1). The algorithm we developed is based on a previously proposed method adapted now for the case of multi-component signals. It combines an adaptive smoothing procedure with a noise resistant Fourier filter to generate an algorithm with an extremely fine frequency resolution. The method is non-parametric, that is, we assume no prior knowledge about the form of the time-varying IF of the chirp or about the chirp itself. We demonstrate how the method works on simulated data and compare its performance to other presently used procedures. 相似文献