资源列表
Towers
- 学习数据结构的好例子,提供给大家参考学习.
hmc
- Hybrid Monte Carlo sampling.SAMPLES = HMC(F, X, OPTIONS, GRADF) uses a hybrid Monte Carlo algorithm to sample from the distribution P ~ EXP(-F), where F is the first argument to HMC. The Markov chain starts at the point X, and the function GRAD
ppca
- Probabilistic Principal Components Analysis. [VAR, U, LAMBDA] = PPCA(X, PPCA_DIM) computes the principal ％ component subspace U of dimension PPCA_DIM using a centred covariance matrix X. The variable VAR contains the off-subspace variance (which
kmeansNetlab
- KMEANS Trains a k means cluster model.CENTRES = KMEANS(CENTRES, DATA, OPTIONS) uses the batch K-means algorithm to set the centres of a cluster model. The matrix DATA represents the data which is being clustered, with each row corresponding to
gmm
- Creates a Gaussian mixture model with specified architecture.MIX = GMM(DIM, NCENTRES, COVARTYPE) takes the dimension of the space DIM, the number of centres in the mixture model and the type of the mixture model, and returns a data structure MIX.
db4
- 利用MATLAB中小波信号“db4 对信号分解和重构，去除噪音
kalman
- runs Kalman-Bucy filter over observations matrix Z for 1-step prediction onto matrix X (X can = Z) with model order p V = initial covariance of observation sequence noise returns model parameter estimation sequence A, sequence of predicted
MATLAB1
- 利用MATLAB中的小波信号对语音信号的基音提取
pastd
- 有关于压缩子空间跟踪（PASTD）的MATLAB源代码
timer
- 利用MATLAB自带的TIMER函数处理多个线程
lunwen
- 本论文的主要工作在于引入了一种新的特征提取方法----独立分量分析。独立分量分析的根本原理是通过分析多维观测数据间的高阶统计相关性，找出相互独立的隐含信息成分，完成分量间高阶冗余的去除及独立信源的提取
VisualC++_MATLAB
- 《Visual C++_MATLAB图像处理与识别实用案例精选》配套源程序