Description: This a Bayesian ICA algorithm for the linear instantaneous mixing model with additive Gaussian noise [1]. The inference problem is solved by ML-II, i.e. the sources are found by integration over the source posterior and the noise covariance and mixing matrix are found by maximization of the marginal likelihood [1]. The sufficient statistics are estimated by either variational mean field theory with the linear response correction or by adaptive TAP mean field theory [2,3]. The mean field equations are solved by a belief propagation method [4] or sequential iteration. The computational complexity is N M^3, where N is the number of time samples and M the number of sources. Platform: |
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Author:陈互 |
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Description: 信道模型包括宽带传播模型（链路级仿真需要）和窄带传播模型（系统级仿真需要，包括路径损耗模型和阴影衰落模型）。-Channel model including the broadband propagation model (link-level simulation required) and narrow-band propagation model (system-level simulation needs, including the path loss model and the shadow fading model). Platform: |
Size: 54272 |
Author: |
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Description: 反向传播算法也称BP算法。由于这种算法在本质上是一种神经网络学习的数学模型，所以，有时也称为BP模型。-Back-propagation algorithm, also known as BP algorithm. As a result of this algorithm is essentially a neural network to learn the mathematical model, therefore, sometimes referred to as BP model. Platform: |
Size: 29696 |
Author:yongweihuang |
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Description: These routines model tropospheric radiowave propagation over variable terrain and calculates propagation loss vs. height and range. Propagation loss is displayed in dB contours on a height vs. range plot. TPEM is based on the split-step Fourier PE method and was originally developed from an early PE model called PEPC, written by Fred Tappert. Propagation loss over variable terrain is modeled by shifting the field an appropriate number of bin widths correspondc ing to the height of the ground. The field is determined using the smooth earth PE method.-These routines model tropospheric radiowave propagation over variable terrain and calculates propagation loss vs. Height and range. Propagation loss is displayed in dB contours on a height vs. Range plot. TPEM is based on the split-step Fourier PE method and was originally developed from an early PE model called PEPC, written by Fred Tappert. Propagation loss over variable terrain is modeled by shifting the field an appropriate number of bin widths correspondc ing to the height of the ground. The field is determined using the smooth earth PE method. Platform: |
Size: 27648 |
Author:barton |
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Description: 利用belief propagation方法实现的模型优化和参数的估计-Ways to achieve the use of belief propagation model optimization and parameter estimation Platform: |
Size: 26624 |
Author:杨佳 |
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Description: 反向传播算法也称BP算法，是一种神经网络学习的数学模型，解决多层前向神经网络的权系数优化-Back-propagation algorithm, also known as BP algorithm is a neural network study of the mathematical model and solve multi-layer feedforward neural network weights optimization Platform: |
Size: 3402752 |
Author:wangzhuz |
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Description: This source code for COS231 radio propagation model-This is source code for COS231 radio propagation model Platform: |
Size: 8192 |
Author:thanh |
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Description: This the source code for Hata radio propagation model-This is the source code for Hata radio propagation model Platform: |
Size: 17408 |
Author:thanh |
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Description: 瑞利衰落信道（Rayleigh fading channel）是一种无线电信号传播环境的统计模型。这种模型假设信号通过无线信道之后，其信号幅度是随机的，即“衰落”，并且其包络服从瑞利分布。-Rayleigh fading channel (Rayleigh fading channel) is a radio signal propagation environment, the statistical model. The model assumed that after the signal through the wireless channel, the signal amplitude is random, that is, " fading" and subject to its Rayleigh distribution envelope. Platform: |
Size: 43008 |
Author:宋立泉 |
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Description: 提出一种人体运动跟踪算法,从无关节标记的单目视频中获取人体运动1 利用一个带外观模板的人体关节
模型,通过学习得到的运动模型及基于外观模型的相似性计算,巧妙地利用粒子滤波的概率密度传播策略鲁棒地跟
踪普通单目视频中的人体运动1 当出现跟踪丢失时,能在后续序列中自动恢复正确跟踪,且能较好地处理遮挡和自
遮挡问题1 实验表明,该算法鲁棒性好,跟踪结果令人满意- In this paper , a novel approach is proposed for t racking markerless human motion in monocular
videos to capture the articulate motion data1 With an articulated human model const ructed , the new ap2
proach uses the probability density propagation of the particle filters through the learnt motion model and
likelihood computing with the appearance models to t rack the human motion1 The method is capable of auto2
matically recovering f rom t racking failures1 It can also process the occlusion and auto2occlusion problem cor2
rectly1 Experimental result s f rom real monocular videos show that the new approach is robust and the t rack2
ing result s are satisfactory1 Platform: |
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Author:丁行 |
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Description: 基于RSSI的定位，已知发射节点的发射信号强度, 接收节点根据接收信号的强度, 计算出传播损耗, 利用理论的或经验的信号传播模型将传播损耗转化为距离, 然后再计算出节点的位置。-RSSI-based positioning, known to the launch of the launch signal strength node, receiving node based on received signal strength to calculate the spread of wear and tear, or experience the use of the theory of signal propagation loss model will be spread into the distance, and then calculate the location of the node . Platform: |
Size: 7168 |
Author:闫军 |
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Description: This example of multiwall model for indoor propagation model. Click on the location of transmitter and press enter,then path loss colour map will shown in figure-This is example of multiwall model for indoor propagation model. Click on the location of transmitter and press enter,then path loss colour map will shown in figure Platform: |
Size: 32768 |
Author:chang |
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Description: 该模型是基于实地测量的即以准平坦地形、大城市市区的中值场强或路径损耗作为参考，对其他传播环境和地形条件等因素分别以校正因子的形式进行修正，用来预测地面移动系统信号的强度。其频率适用范围是150MHz到1000MHz的UHF/VHF频带。目前使用的主要频段资源为800~900MHz。这一频段，在相对平坦区域，一般可应用Okumura-Hata传播模型。Hata提供了对这些数据的解析逼近，并捕捉到大部分的主要影响-The model is based on field measurements of the quasi-flat terrain, large cities in the urban field strength or path loss values as a reference for other dissemination of environmental and topographic conditions and other factors correction factor respectively in the form of amendments to be used to predict the ground mobile systems the signal strength. The frequency range is 150MHz to 1000MHz for the UHF/VHF band. The main bands currently used resources for the 800 ~ 900MHz. The band, in the relatively flat areas, generally can be applied to Okumura-Hata propagation model. Hata provides these data analytic approaches, and to capture most of the major impact Platform: |
Size: 23408640 |
Author:gudeyi |
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Description: 基于RSSI的定位，已知发射节点的发射信号强度, 接收节点根据接收信号的强度, 计算出传播损耗, 利用理论的或经验的信号传播模型将传播损耗转化为距离, 然后再计算出节点的位置-RSSI-based positioning, known to launch the node transmission signal strength, the receiving node according to received signal strength, transmission loss calculated using the theory or experience loss of signal propagation model will spread into the distance and then calculate the location of the node Platform: |
Size: 3072 |
Author:王磊 |
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