-
imm_extend
扩展的交互多模型在目标跟踪方面的应用，用来估计一维的目标加速度，并不时的改变转移矩阵(Interacting multiple model)
- 2011-06-24 22:38:54下载
- 积分：1
-
shiyan3
产生16路信号，画出16路原始信号的频谱叠加图以及滤波器响应，并画出结果信号的时域和频域波形(Generate 16-channel signal, draw 16 original signal spectrum overlay and a filter response, and draw result signals in time domain and frequency domain waveforms)
- 2013-09-17 09:46:54下载
- 积分：1
-
clusters
该算法包包含了hierichal，kmeans，em聚类算法，非常实用。(The algorithm package contains hierichal, kmeans, em clustering algorithm is very practical.)
- 2008-02-19 14:50:12下载
- 积分：1
-
motionEstNTSS
新三步搜索算法对三步算法进行了适当的改进，在一定程度上弥补了TSS算法在估计细小运动时的不足，并加入了半途中止的策略，进一步提高了搜索精度
(The new three-step search algorithm for three-step algorithm to improve the appropriate, to a certain extent make up for the TSS algorithm in estimating the inadequacy of a small movement, and joined the mid-suspension strategy to further improve the search accuracy)
- 2008-04-14 10:08:46下载
- 积分：1
-
Matlab_Mean_Shift
edison mean shift for matlab
- 2013-09-30 01:27:08下载
- 积分：1
-
ARMA
ARIMA模型对化工厂生产浓度进行十步预测。内容简洁使用方便。(ARIMA model for chemical production concentration ten-step prediction. Concise and easy to use.)
- 2014-11-03 11:50:13下载
- 积分：1
-
matlabJSD
加速度分析，并绘制matlab曲线和图片(Acceleration analysis, and draw curves and images matlab)
- 2011-11-25 11:53:18下载
- 积分：1
-
Matlab-Programs-part2
balanis antenna code part2
- 2015-03-01 20:41:24下载
- 积分：1
-
knnalgorithm
k最近邻算法，给出训练样本和测试样本，通过样本间欧氏距离或是绝对距离来寻找测试样本的k个近邻，并根据k个实例里多数所属的类将该测试样本归为该类。(k-nearest neighbor algorithm, given the training and testing samples by the Euclidean distance between the samples or the absolute distance to find the k nearest neighbors of the test sample and the test samples according to class k instances where the majority belongs classified as class .)
- 2015-03-27 16:21:54下载
- 积分：1
-
NMF-DTU-Toolbox
matlab源代码，是非负矩阵分解工具箱，包含乘法更新，最小二乘约束，投影梯度法等方法(Usage:
[W,H] = nmf(X,K,alg,maxiter,speak)
W: output matrix
H: output matrix
X: input matrix
K: number of components
alg: algorithm to use
maxiter: maximum number of iterations
speak: print to screen
Algorithms:
mm: Multiplicative updates method using euclidean distance measure.
cjlin: Projected gradient method
prob: Probabilistic non-negative matrix factorization.
als: Alternating least squares.
alsobs: Alternating least squares with optimal brain surgeon.
Demonstrations:
PET: NMF on a PET dataset
Text: NMF used on a three different datasets Email, medical, and CNN.
Algorithms
mm: Multiplicative update method using euclidean distance measure.
Described in Lee and Seung, 2001, Algorithms for Non-negative Matrix Factorization, Advances in Neural Information Processing Systems 13, 556-562. This algorithm is the most commonly used algorithm to solve NMF.
cjlin: Alternative non-negative least squares using projected gradients.
Author: Chih-Je)
- 2021-04-22 19:28:48下载
- 积分：1
