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,...
nonlinear_non-Gaussian技术资料
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💻 源代码：6423
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探索非线性非高斯系统，掌握复杂信号处理与控制的前沿技术。本页面汇集了121个精选资源，涵盖从基础理论到高级应用的全方位知识，包括卡尔曼滤波器变种、粒子滤波及贝叶斯估计等核心算法。适用于雷达跟踪、机器人导航、金融工程等多个领域，助力您解决实际工程中的挑战。立即访问，开启您的专业进阶之旅！
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查看全部121个资源 »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...
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 s...
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...
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 ...
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