-
voicebox
A section focussing specifically on the linear prediction of speech then begins.
The anatomical process of speech production is described, followed by
an introduction to a theoretical linear model of the process
- 2011-01-24 22:54:13下载
- 积分：1
-
zhihuanmoxing
包含了滞环控制的.m文件和.mdl文件，所建模型是单相PWM(.m File contains the .mdl file and hysteresis control, the model is a single-phase PWM)
- 2015-01-15 10:04:29下载
- 积分：1
-
dvhaukys
可以实现模式识别领域的数据的分类及回归，PLS部分最小二乘工具箱,DC-DC部分采用定功率单环控制，GPS和INS组合导航程序，主要为数据分析和统计，在MATLAB中求图像纹理特征，快速扩展随机生成树算法。( You can achieve data classification and regression pattern recognition, PLS PLS toolbox, DC-DC power single-part set-loop control, GPS and INS navigation program, Mainly for data analysis and statistics, In the MATLAB image texture feature, Rapid expansion of random spanning tree algorithm.)
- 2016-04-05 21:08:49下载
- 积分：1
-
MS_matlab
分割算法
1.mean shift 的迭代过程只做了一次（为了简单）
2.对图像中的某一点进行平移时，只考虑了距离它小于2*hr的点，而不是图像中所有的 点。
3.实验过程中只用到了gauss核，虽然提供了method的选择，但在进行值域加权时只用 到gauss核，如果需要请自己改正。(mean shift algorithm
)
- 2009-03-24 20:09:34下载
- 积分：1
-
MATLAB-GUI
MATLAB GUI实现动态画图曲线的源程序代码 具有完整的代码和运行结果(MATLAB GUI dynamically draw the curve of the source code)
- 2014-12-17 19:52:31下载
- 积分：1
-
mimo-ostbc-simulink
基于matlab-simulink的mimo仿真模型，使用了ostbc编码技术，可以看到ber与锐利衰落的关系，成功运行。(Mimo simulation model based on Matlab-Simulink of ostbc coding techniques, you can see ber, and the sharp decline of the relationship, and run successfully.)
- 2013-04-24 11:39:39下载
- 积分：1
-
fcm
fuzzy c-mean code in matlab in brain segmentation
- 2011-12-27 17:19:45下载
- 积分：1
-
Euler_Cromer_Method
Animation of a Simple Pendulum using the Euler-Cromer numerical method
- 2014-01-25 15:52:19下载
- 积分：1
-
spalgorithmpackage
子空间追踪算法（SP）程序包，包含示例程序，SP算法程序及附属程序(Subspace pursuit algorithm (SP) package includes sample programs, SP algorithm program and ancillary procedures)
- 2011-01-05 14:22:19下载
- 积分：1
-
Process
Signal subspace identification is a crucial first step in many hyperspectral processing algorithms such as target detection, change detection, classification, and unmixing. The identification of this subspace enables a correct dimensionality reduction, yielding gains in algorithm performance and complexity and in data storage. This paper introduces a new minimum mean square error-based approach to infer the signal subspace in hyperspectral imagery. The method, which is termed hyperspectral signal identification by minimum error, is eigen decomposition based, unsupervised, and fully automatic (i.e., it does not depend on any tuning parameters). It first estimates the signal and noise correlation matrices and then selects the subset of eigenvalues that best represents the signal subspace in the least squared error sense. State-of-the-art performance of the proposed method is illustrated by using simulated and real hyperspectral images.
- 2013-01-01 20:25:49下载
- 积分：1
