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[matlab例程MATLABwaveanalysis

说明:小波分析wave analysis wave analysis-wave analysiswave analysis
<yytan> 在 2025-06-18 上传 | 大小:80kb | 下载:0

[matlab例程LCMV

说明:
<wwyy> 在 2025-06-18 上传 | 大小:71kb | 下载:0

[matlab例程123

说明:数字通信中2FSK调制与解调原理及详细源代码-2FSK Digital Communication Principles of modulation and demodulation and detailed source code
<曾宇晗> 在 2025-06-18 上传 | 大小:3kb | 下载:0

[matlab例程shuikeng

说明:有个水坑,从横截面图来看,坑底成阶梯状,由从左至右的 1..N 个的平面构成(其中 1 ≤ N ≤ 100,000),如图(详细见内部文档)-Have a puddle, from the cross-section view, into a ladder-like Bottom, from left to right 1 .. N from a flat composition (where 1 ≤ N ≤ 100,000), figure (for details see the inter
<martinwok> 在 2025-06-18 上传 | 大小:205kb | 下载:0

[matlab例程dijkstra

说明:Dijktra s single source shortest path algorithm. The function takes a graph (which may be sparse) as an input and returns the matrix of shortest distances between all of the nodes. Additionally, individual source and sink nodes may be specified as ad
<ruso> 在 2025-06-18 上传 | 大小:1kb | 下载:0

[matlab例程nikolas.070901

说明:Comparative study of active contour model by Nikolas Pettiri Tiilikainen
<Chaliot> 在 2025-06-18 上传 | 大小:1.79mb | 下载:0

[matlab例程strcov

说明:Structured covariance estimation. The routine takes a covariance matrix as input and returns the Toeplitz matrix that lies closest to it, in the sense that it minimizes the Kullback-Leibler divergence between the two. Input must be a real, square, sy
<ruso> 在 2025-06-18 上传 | 大小:1kb | 下载:0

[matlab例程qpsk

说明:四相绝对相移键控的仿真和分析,四个图形合成,有意思-Four-phase phase-shift keying absolute simulation and analysis, four graphics synthesis, interesting
<renkaiqiang> 在 2025-06-18 上传 | 大小:1kb | 下载:0

[matlab例程gmm

说明:Bayesian mixture of Gaussians. This set of files contains functions for performing inference and learning on a Bayesian Gaussian mixture model. Learning is carried out via the variational expectation maximization algorithm.
<ruso> 在 2025-06-18 上传 | 大小:6kb | 下载:0

[matlab例程mlr

说明:Mixture of linear regressors. The routines contained in this file allow inference and learning of a mixture of linear-Gaussian regression models. Learning is performed by maximizing the data likelihood via the expectation maximization algorithm.
<ruso> 在 2025-06-18 上传 | 大小:4kb | 下载:0

[matlab例程ContentWritingSample1

说明:This content writing sample-This is content writing sample
<Sen> 在 2025-06-18 上传 | 大小:14kb | 下载:0

[matlab例程lds

说明:Linear dynamical system. This set of functions performs inference and learning of a linear Kalman filter model. Inference is carried out via forward-backward smoothing, and learning is accomplished via the expectation maximization algorithm.
<ruso> 在 2025-06-18 上传 | 大小:6kb | 下载:0
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