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有限元分析作业源码, piecewise单元,积分 高斯近似算法两种,并计算最小势能-Finite Element Analysis Operating source, piecewise unit, integral Gaussian approximation algorithm for two, and calculation of minimum potential energy
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定点频域ICA,使用高斯函数、负熵最大化来处理语音信号分离问题的演示-FIXED-POINT FREQUENCY DOMAIN ICA with
GENERALIZED GAUSSIAN FUNCTION BASED
NEGENTROPY APPROXIMATION for SPEECH SIGNAL
SEPARATION
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高斯过程在分类中的应用。本程序采用拉普拉斯逼近基于高斯过程的贝叶斯分类。-Gaussian process in the Classification. This procedure uses the Laplace approximation of Gaussian processes based on Bayesian classification.
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用于函数逼近的径向基逼近和差值,是一个基础函数,包括高斯及二项式两种,可拓展到多个应用领域-Radial basis functions are use for function approximation and interpolation. This package supports two popular classes of rbf: Gaussian and Polyharmonic Splines (of which the Thin Plate Spline is a subcla
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无迹卡尔曼滤波UKF是重要的非线性滤波方法。它采用UT变换的方法,不再近似系统的非线性方程,它仍然用高斯随机变量表示状态分布,不过是用特定选择的样本点加以描述,每个点叫一个高斯点,它从系统状态的概率密度函数中取出;然后,按系统的真实模型演化,得到非线性演化后的σ点,使得样本均值和样本方差是真实均值和真实方差的好的近似。
在这个程序中,实现了基于UKF的滤波方法,并且建立了两种仿真环境进行实验。-Unscented Kalman filter UKF is an important nonli
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Evaluates the theoretical probability of error for a 2PAM system in AWGN channels under the Standard Gaussian Approximation
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用傅立叶变换光束传播法模拟高斯信号在傍轴自由空间的近似传播-use the Fourier transform split-step beam propagation method in the
paraxial approximation.
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The function shows how to create a 2D Gaussian lowpass approximation filter. It enables user to tune the parameters (miu, sigma, filter size) of the Gaussian filter to see its effect on the convoluted signal (image).
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这是一个关于稀疏高斯过程的matlab源码,可以用于计算测试输入的高斯预测值。- spgp_pred computes the SPGP predictive distribution for a set of
test inputs. You need to supply a set of pseudo-inputs or basis
vectors for the approximation, and suitable hyperparameters for the
c
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Suite of MATLAB based RFS filtering/tracking codes. The file contains single target filters thus Single target filter gms -Gaussian mixture solution for linear Gaussian models, ekf - EKF approximation for non-linear models
ukf -UKF approximatio
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无迹Kalman滤波利用无迹变换在估计点附近确定采样,用这些样本点表示的高斯密度近似状态的概率密度函数。-Unscented Kalman filtering uses the unscented transform to determine the probability density function of the Gaussian density approximation state, which is represented by these sample points.
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a Gaussian filter is a filter whose impulse response is a Gaussian function (or an approximation to it). Gaussian filters have the properties of having no overshoot to a step function input while minimizing the rise and fall time
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有关二分法、试值法、帕德逼近、高斯消去的代码,可供数值计算方法学习者参考(About dichotomy, test method, Pader approximation, Gaussian elimination of code, numerical calculation method for learner reference)
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