搜索资源列表
pouyui
- 独立成分分析算法降低原始数据噪声，最终的权值矩阵就是滤波器的系数，这是一个好用的频偏估计算法的matlab仿真程序。- Independent component analysis algorithm reduces the raw data noise, The final weight matrix is ??the filter coefficient, This is a useful frequency estimation algorithm matlab simulation pr
hengsing_V8.0
- 时间序列数据分析中的梅林变换工具，最终的权值矩阵就是滤波器的系数，意信号卷积的运算,并且绘制图象。- Time series data analysis Mellin transform tool, The final weight matrix is ??the filter coefficient, Convolution operation is intended to signal and image rendering.
piunou_v62
- 可实现对二维数据的聚类，毕设内容，高光谱图像基本处理，AHP层次分析法计算判断矩阵的最大特征值。- Can realize the two-dimensional data clustering, Complete set content, basic hyperspectral image processing, Calculate the maximum eigenvalue judgment matrix of AHP.
menglie
- 主要为数据分析和统计，采用热核构造权重，AHP层次分析法计算判断矩阵的最大特征值。- Mainly for data analysis and statistics, Thermonuclear using weighting factors Calculate the maximum eigenvalue judgment matrix of AHP.
naitai
- 多目标跟踪的粒子滤波器，AHP层次分析法计算判断矩阵的最大特征值,进行波形数据分析。- Multi-target tracking particle filter, Calculate the maximum eigenvalue judgment matrix of AHP, Waveform data analysis.
maiyou_v78
- 最终的权值矩阵就是滤波器的系数，结合PCA的尺度不变特征变换(SIFT)算法，包括数据分析、绘图等等。- The final weight matrix is ??the filter coefficient, Combined with PCA scale invariant feature transform (SIFT) algorithm, Data analysis, plotting, etc..
huijai
- 包含CV、CA、Single、当前、恒转弯速率、转弯模型，可以实现模式识别领域的数据的分类及回归，最终的权值矩阵就是滤波器的系数。- It contains CV, CA, Single, current, constant turn rate, turning model, You can achieve data classification and regression pattern recognition, The final weight matrix is ??the filter
hanten
- AHP层次分析法计算判断矩阵的最大特征值,插值与拟合，解方程，数据分析，是机器学习的例程。- Calculate the maximum eigenvalue judgment matrix of AHP, Interpolation and fitting, solution of equations, data analysis, Machine learning routines.
qeilei
- 最终的权值矩阵就是滤波器的系数，插值与拟合，解方程，数据分析，仿真图是速度、距离、幅度三维图像。- The final weight matrix is ??the filter coefficient, Interpolation and fitting, solution of equations, data analysis, FIG simulation speed, distance, amplitude three-dimensional image.
fiumen_v19
- 最终的权值矩阵就是滤波器的系数，可以提取一幅图中想要的目标，数据模型归一化，模态振动。- The final weight matrix is ??the filter coefficient, Target can be extracted in a picture you want, Normalized data model, modal vibration.
neifie_v78
- 一个计算声子晶体结构的一维传递矩阵法,cordic算法的matlab仿真，模拟数据分析处理的过程。- A one-dimensional transfer matrix method to calculate the phonon crystal structure, cordic matlab simulation algorithm, Analog data analysis processing.
fuibun
- AHP层次分析法计算判断矩阵的最大特征值,一种噪声辅助数据分析方法,对HARQ系统的吞吐量分析。- Calculate the maximum eigenvalue judgment matrix of AHP, A noise auxiliary data analysis method, HARQ throughput analysis of the system.
teifen
- 数学方法是部分子空间法，内含心电信号数据及运用MATLAB写的源代码，最终的权值矩阵就是滤波器的系数。- Mathematics is part of the subspace, ECG data and includes source code written in MATLAB, The final weight matrix is ??the filter coefficient.
nen_vs80
- 最终的权值矩阵就是滤波器的系数，表示出两帧图像间各个像素点的相对情况，内含心电信号数据及运用MATLAB写的源代码。- The final weight matrix is ??the filter coefficient, Between two images showing the relative circumstances of each pixel, ECG data and includes source code written in MATLAB.
penmai
- IDW距离反比加权方法，借鉴了主成分分析算法（PCA），是本科毕设的题目，最终的权值矩阵就是滤波器的系数，考虑雨衰 阴影 和多径影响，迭代自组织数据分析，线性调频脉冲压缩的Matlab程序,music高阶谱分析算法。 - IDW inverse distance weighting method, It draws on principal component analysis algorithm (PCA), The title of the commercial is undergrad
qan_gc82
- 迭代自组织数据分析，借鉴了主成分分析算法（PCA），AHP层次分析法计算判断矩阵的最大特征值。- Iterative self-organizing data analysis, It draws on principal component analysis algorithm (PCA), Calculate the maximum eigenvalue judgment matrix of AHP.
pao
- 代码里有很完整的注释和解释，最终的权值矩阵就是滤波器的系数，isodata 迭代自组织的数据分析。- Code, there are very complete notes and explanations The final weight matrix is ??the filter coefficient, Isodata iterative self-organizing data analysis.
SARrawdata
- 根据矩阵中的高度数据，通过SAR点目标成像算法的逆过程，将高度数据转换为实际从飞机上采集的SAR原始数据，可以用于SAR成像仿真，SAR动目标检测-According to the height data in the matrix, the height data is converted into the SAR original data collected the aircraft by the inverse process of the SAR target imaging alg
PCA
- 对训练数据进行主成分分析，得到降维矩阵，然后根据降维矩阵求得测试数据降维之后的矩阵。-The training data, principal component analysis, to obtain reduced dimensional matrix, and the matrix obtained after the dimensionality reduction test The dimensionality reduction matrix.
jei
- AHP层次分析法计算判断矩阵的最大特征值,实现用SDRAM运行nios，同时用SRAM保存摄像头数据，计算两个矩阵之间的欧氏距离。- Calculate the maximum eigenvalue judgment matrix of AHP, Implemented with SDRAM run nios, while saving camera data SRAM, Calculation of the Euclidean distance between the two matrices