搜索：gaussian - 虫虫下载站

其他书籍  介绍回归问题中高斯过程的应用

介绍回归问题中高斯过程的应用，C. E. Rasmussen & C. K. I. Williams, Gaussian Processes for Machine Learning,

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数学计算  The Kalman filter is an efficient recursive filter that estimates the state of a linear dynamic syst

The Kalman filter is an efficient recursive filter that estimates the state of a linear dynamic system from a series of noisy measurements. It is used in a wide range of engineering applications from radar to computer vision, and is an important topic in control theory and control systems engineerin ...

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matlab例程  Consider a BPSK and a QPSK system for the following two cases: 1) The probability that the symbol 1

Consider a BPSK and a QPSK system for the following two cases: 1) The probability that the symbol 1 is sent and the probability that the symbol 0 is sent are all the same. 2) The probability that the symbol 1 is sent is two times than the probability that the symbol 0 is sent. Assume that the noise ...

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其他  SiftGPU is an implementation of SIFT [1] for GPU. SiftGPU processes pixels parallely to build Gaussi

SiftGPU is an implementation of SIFT [1] for GPU. SiftGPU processes pixels parallely to build Gaussian pyramids and detect DoG Keypoints. Based on GPU list generation, SiftGPU then uses a GPU/CPU mixed method to efficiently build compact keypoint lists. Finally keypoints are processed parallely to ...

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其他  Implements mixture of binary (logistic) PCAs where pixels are modeled using Bernoulli distributions

Implements mixture of binary (logistic) PCAs where pixels are modeled using Bernoulli distributions instead of Gaussian. The images do not need to be aligned.

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matlab例程  This is an analog signal communication simulator, usign frequency modulation. It is designed in MATL

This is an analog signal communication simulator, usign frequency modulation. It is designed in MATLAB-Simulink. The communications channel beetween the transmitter and the reciever is supposed to be affected by additive white Gaussian noise.

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驱动编程  EM算法（英文）A Gentle Tutorial of the EM Algorithm and its Application to Parameter Estimation for Gaus

EM算法（英文）A Gentle Tutorial of the EM Algorithm and its Application to Parameter Estimation for Gaussian Mixture and Hidden Markov Models

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论文  EDA分布估计算法经典论文

压缩包中有5篇论文，分别为《Data-driven analysis of variables and dependencies in continuous optimization problems and EDAs》这是一篇博士论文，较为详细的介绍了各种EDA算法；《Anisotropic adaptive variance scaling for Gaussian estimation of distribution algorithm》《Enhancing Gaussian Estimation of Dis ...

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书籍  A Foundation in Digital Communication

Without conceding a blemish in the first edition, I think I had best come clean and admit that I embarked on a second edition largely to adopt a more geometric approach to the detection of signals in white Gaussian noise. Equally rigorous, yet more intuitive, this approach is not only student-friend ...

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书籍  Adaptive Antennas and Receivers

Homogeneous Partitioning of the Surveillance Volume discusses the implementation of the first of three sequentially complementary approaches for increasing the probability of target detection within at least some of the cells of the surveillance volume for a spatially nonGaussian or Gaussian “noise ...

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