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Description: A Survey of Spectrum Sensing Algorithms The spectrum sensing problem has gained new aspects with cognitive radio and opportunistic spectrum access concepts. It is one of the most challenging issues in cognitive radio systems. In this paper, a survey of spectrum sensing methodologies for cognitive radio is presented. Various aspects of spectrum sensing problem are studied from a cognitive radio perspective and multi-dimensional spectrum sensing concept is introduced. Challenges associated with spectrum sensing are given and enabling spectrum sensing methods are reviewed. The paper explains the cooperative sensing concept and its various forms. External sensing algorithms and other alternative sensing methods are discussed. Furthermore, statistical modeling of network traffic and utilization of these models for prediction of primary user behavior is studied. Finally, sensing features of some current wireless standards are given.
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Size: 453502 |
Author: chenpeng3361 |
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Description: 神经网络方法在股市预测中的应用研究
神经网络方法在股市预测中的应用研究-neural network method in the stock market prediction of neural network research in the stock market prediction of the Applied Research
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Size: 74752 |
Author: 陈光华 |
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Description: 四川大学得博士生毕业论文电力负荷混沌特性分析及其预测研究2005博士-Sichuan University, a doctoral thesis load Chaos Analysis and Prediction of 2005, Dr.
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Size: 3472384 |
Author: 尹鑫 |
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Description: 最小二乘曲线拟合的一个类，用来实现一元线性回归的负荷预测-Least squares curve fitting of a class, one used to realize linear regression prediction of the load
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Size: 1024 |
Author: 李炎 |
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Description: 复杂系统故障预测方法与应用技术研究Failure prediction of complex systems and application technology research-Failure prediction of complex systems and application technology research
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Size: 209920 |
Author: fanny51 |
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Description: Multi-step-prediction of chaotic time series based
on co-evolutionary recurrent neural network
协同进化递归神经网络的多步混沌时间序列预测-This paper proposes a co-evolutionary recurrent neural network (CERNN) for the multi-step-prediction of chaotic
time series, it estimates the proper parameters of phase space reconstruction and optimizes the structure of recurrent
neural networks by co-evolutionary strategy. The searching space was separated into two subspaces and the individuals
are trained in a parallel computational procedure. It can dynamically combine the embedding method with the capability
of recurrent neural network to incorporate past experience due to internal recurrence. The eff ectiveness of CERNN is
evaluated by using three benchmark chaotic time series data sets: the Lorenz series, Mackey–Glass series and real-world
sun spot series. The simulation results show that CERNN improves the performances of multi-step-prediction of chaotic
time series.
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Size: 152576 |
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Description: 实现灰色模型预测功能，并对其背景值求算进行改进-acheive the prediction of grey model,and improve the computation of background value
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Size: 3072 |
Author: jianfeng |
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Description: Prediction of Dissolved Oxygen Content in Aquaculture of Hyriopsis Cumingii Using Elman Neural Network
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Size: 289792 |
Author: 李枫 |
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Description: 用lssvm预测用水量，运行环境是matlab-Prediction of water consumption by LSSVM, the operating environment is matlab
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Size: 8192 |
Author: yiqing |
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Description: Prediction of thermal ageing in transformer oil and high voltage PVC cables using artificial neural Networks
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Size: 390144 |
Author: saad |
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Description: Neural Networks Algorithms in Prediction of thermal in transfo oil
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Size: 242688 |
Author: saad |
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Description: 语音信号的线性预测及其Matlab实现，可以自行录入WAV格式的语音信号使用。-Linear prediction of the speech signal and its Matlab, the use of the voice signal can input their own WAV format.
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Size: 1024 |
Author: Allan |
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Description: This paper presents an indirect approach to interval type-2 fuzzy logic system modeling to forecaste the level of air pollutants. The type-2 fuzzy logic system permits us to model the uncertainties among rules and the parameters related to data analysis. In this paper, we propose an indirect method to create an interval type-2 fuzzy logic system from a historical data, where Footprint of Uncertainties of fuzzy sets are extracted by implementation of an interval type-2 FCM algorithm and based on an upper and lower value for the level of fuzziness m in FCM. Finally, the proposed model is applied for prediction of carbon monoxide concentration in Tehran air pollution. It is shown that the proposed type-2 fuzzy logic system is superior in comparison to type-1 fuzzy logic systems in terms of two performance indices.
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Size: 1391616 |
Author: m |
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Description: Wavelet neural network time series prediction of short-term traffic flow forecasting
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Size: 5120 |
Author: 余焰 |
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Description: 关于混沌时间序列预测的一些论文资料,有pdf和caj格式。-Some papers about the prediction of chaotic time series.
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Size: 2217984 |
Author: hehe |
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Description: this book focuses on computational analyses of
proteins, although many of these analyses are relevant also to nucleic acids (e.g. sequence
alignment and prediction of protein-nucleic acid complexes).
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Size: 4375552 |
Author: afy |
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Description: On Robust Linear Prediction of Speech
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Size: 889856 |
Author: sapiens77 |
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Description: IT is about prediction of wind energy
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Size: 2373632 |
Author: 简健龙 |
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Description: ROUGH SET REASONING MODEL FOR PREDICTION OF DIABETES MELLITUS
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Size: 32768 |
Author: femco
|
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Description: 准确的风电功率预测有利于含大规模风电电力系统的安全可靠、持续稳定运行，掌握风电功率预测误差的分布特征，对风电大规模并网有重要意义。以吉林省某风电场的实测数据为例，对风电功率进行超短期预测，利用非参数估计对预测误差分布进行拟合，分析了非参数估计与预测方法、预测时间间隔、预测误差概率分布形态以及风电场装机容量的关系，验证了所提出方法的有效性。(Accurate wind power prediction is conducive to safe, reliable, continuous and stable operation of large-scale wind power systems. It is important to grasp the distribution characteristics of wind power prediction errors, which is of great significance for large-scale grid connection of wind power. Taking the measured data of a wind farm in Jilin Province as an example, the ultra-short-term prediction of wind power is used. The non-parametric estimation is used to fit the prediction error distribution. The non-parametric estimation and prediction method, the prediction time interval and the prediction error probability distribution are analyzed. The relationship between the installed capacity of wind farms and the effectiveness of the proposed method is verified.)
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Size: 1349632 |
Author: 熊二之父 |
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