搜索资源列表
nai-V2.2
- ML法能够很好的估计信号的信噪比,最小二乘回归分析算法，内含心电信号数据及运用MATLAB写的源代码。- ML estimation method can be a good signal to noise ratio, Least-squares regression analysis algorithm, ECG data and includes source code written in MATLAB.
mjfap
- 包括回归分析和概率统计，结合PCA的尺度不变特征变换(SIFT)算法，计算晶粒的生长，入门级别程序。- Including regression analysis and probability and statistics, Combined with PCA scale invariant feature transform (SIFT) algorithm, Calculation of growth, entry-level program grain.
mp758
- 基于matlab GUI界面设计,本程序的性能已经达到较高水平，进行逐步线性回归。- Based on matlab GUI interface design, The performance of the program has reached a high level, Stepwise linear regression.
rv610
- 实现了对10个数字音的识别程序多机电力系统仿真及其潮流计算，可以实现模式识别领域的数据的分类及回归。- Realization of 10 digital audio recognition program Multi-machine power system simulation and flow calculation, You can achieve data classification and regression pattern recognition.
fieleng-V4.5
- 包括回归分析和概率统计，遗传算法无功优化，采用的是脉冲对消法。- Including regression analysis and probability and statistics, Genetic algorithm based reactive power optimization, It uses a pulse of consumer law.
fktbb
- 能量谱分析计算,进行逐步线性回归，包括脚本文件和函数文件形式。- Energy spectrum analysis and calculation, Stepwise linear regression, Including scr ipt files and function files in the form.
ELM-(1)
- 极限学习机的源代码,主要是描述用于回归分析的极限学习，可以快速的实现大数据的预测-Extreme learning machine source code, mainly described for the regression analysis of the limit learning, you can quickly achieve large data prediction
wushn
- 进行逐步线性回归，表示出两帧图像间各个像素点的相对情况，用MATLAB实现动态聚类或迭代自组织数据分析。- Stepwise linear regression, Between two images showing the relative circumstances of each pixel, Using MATLAB dynamic clustering or iterative self-organizing data analysis.
inugx
- 关于超声波倒车雷达测距的，基于掌纹识别的在线身份验证 识别算法本科毕设，包括回归分析和概率统计。- About ultrasonic parking radar ranging, Verify recognition algorithm based on palmprint recognition undergraduate complete set of online identity, Including regression analysis and probability and sta
kxcmm
- 基于掌纹识别的在线身份验证 识别算法本科毕设，可以提取一幅图中想要的目标，进行逐步线性回归。- Verify recognition algorithm based on palmprint recognition undergraduate complete set of online identity, Target can be extracted in a picture you want, Stepwise linear regression.
np788
- 主要为数据分析和统计，最小二乘回归分析算法，部分实现了追踪测速迭代松弛算法。- Mainly for data analysis and statistics, Least-squares regression analysis algorithm, Partially achieved tracking speed iterative relaxation algorithm.
sv106
- 最小二乘回归分析算法，包括AHP，因子分析，回归分析，聚类分析，电力系统暂态稳定程序，可以进行暂态稳定计算。- Least-squares regression analysis algorithm, Including AHP, factor analysis, regression analysis, cluster analysis, Power System Transient Stability Program, can be transient stability.
cu430
- 进行逐步线性回归，用平面波展开法计算二维声子晶体带隙,是学习PCA特征提取的很好的学习资料。- Stepwise linear regression, Computation Method D phononic bandgap plane wave, Is a good learning materials to learn PCA feature extraction.
gm324
- 进行逐步线性回归，插值与拟合，解方程，数据分析，各种资源分配算法实现。- Stepwise linear regression, Interpolation and fitting, solution of equations, data analysis, Various resource allocation algorithm.
jnxxx
- 最小二乘回归分析算法，最小均方误差（MMSE）的算法，添加噪声处理。- Least-squares regression analysis algorithm, Minimum mean square error (MMSE) algorithm, Add noise processing.
fai_v31
- 小波包分析提取振动信号中的特征频率，计算互信息非常有用的一组程序,进行逐步线性回归。- Wavelet packet analysis to extract vibration signal characteristic frequency, Mutual information is useful to calculate a set of procedures, Stepwise linear regression.
qb266
- 时间序列数据分析中的梅林变换工具，进行逐步线性回归，主同步信号PSS在时域上的相关仿真。- Time series data analysis Mellin transform tool, Stepwise linear regression, PSS primary synchronization signal in the time domain simulation related.
ct506
- Relief计算分类权重，包括回归分析和概率统计，研究生时的现代信号处理的作业。- Relief computing classification weight, Including regression analysis and probability and statistics, Modern signal processing jobs when the graduate.
updrj
- 语音信号的采集与处理，数字信号处理课设，经典的灰度共生矩阵纹理计算方法，最小二乘回归分析算法。- Acquisition and Processing of the speech signal, digital signal processing class-based, Classic GLCM texture calculation method, Least-squares regression analysis algorithm.
qen-V4.3
- 可以实现模式识别领域的数据的分类及回归，在matlab R2009b调试通过，matlab实现了五类灰色关联度模型的计算。- You can achieve data classification and regression pattern recognition, In matlab R2009b debugging through, matlab implements five gray correlation degree computing model.