搜索资源列表
core
- 矩阵的QR分解算法,奇异值分解算法等,可以用于数据万挖掘的算法之中,或者作为学习用
Prediction_of_Chaotic_Time_Series_Using_Singular_V
- 基于奇异值分解的混沌时间序列Volterra预测
Image-Compression
- 一系列展示图像压缩技术的源代码。包括有:使用块截断编码的图像压缩(Block Truncation)、基于高斯金字塔变换的图像压缩(Gaussian Pyramids)、基于离散余弦变换对图像压缩(Discrete Cosine Transform)、基于奇异值分解(SVD)的图像压缩(Singular Value Decomposition)。给出的代码还可以用于2D图像噪声消除
qiyizhi
- 奇异值分解的matlab程序,可以利用此svd程序对一维信号进行除噪运算。
x_svdprony
- 使用奇异值分解算法的prony算法-single value decomposition based prony algorithm
jubuqyz
- 详细介绍了局部奇异值分解-details of local SVD
KL2
- 人脸识别:利用奇异值分解和KL变换的投影,是很有价值的一篇文章-Face Recognition : The Singular Value Decomposition and KL transform projection, it is valuable to an article
图像片去噪
- 用奇异值分解去噪
MVDR.rar
- 三个复正弦信号的信噪比分别为SNR1 =30dB, SNR2 =30dB和SNR3 = 27dB。假设信号样本数为1000,FIR 滤波器的抽头个数为4。基于奇异值分解的MVDR 方法进行信号频率估计的仿真实验,获得功率谱密度函数的估计。,A power spectrum estimation algorithm named mvdr is introduced in this program
SVD
- 奇异值分解的C语言程序,可以直接运行,高效简单易于理解-Singular value decomposition of the C language program can be run directly, simple and easy to understand effective
cusvd_by_ZhangShu
- 在cuda上进行奇异值分解,采用Hestens 方法,与cpu相比加速4-5倍-svd in cuda
imcompress
- 基于奇异值分解(SVD)的图像压缩算法matlab实现-Based on singular value decomposition (SVD) to achieve image compression algorithm matlab
svd
- 奇异值分解(SVD)的MATLAB仿真性能分析-Singular value decomposition (SVD) of the MATLAB simulation performance analysis
pca
- 运用奇异值分解定理的PCA方法在ORL人脸库上进行人脸识别,分类器为最近邻分类器,-The use of singular value decomposition theorem of PCA method in ORL face database for face recognition, nearest neighbor classifier for the classifier,
svd_cpp
- 用C++写的 SVD 奇异值分解算法,用于学习与研究。-Written in C++ SVD algorithm for learning and research.
chengxu
- 这是基于PCA的人脸识别,用MATLAB编写,包含了K-L变换,奇异值分解等方法,且采用了最小距离分类器-This is based on the PCA face recognition, using MATLAB to prepare, including the KL transform, singular value decomposition and other methods, and the use of the minimum distance classifier
musicF1
- 任意阵列输出数据的协方差进行奇异值分解,求出特征值和特征向量,利用信号子空间和噪声子空间的正交性,构造空间谱函数-Arbitrary array output data covariance singular value decomposition, eigenvalues and eigenvectors obtained using the signal subspace and noise subspace orthogonality spectral function space con
SVD
- 最小二乘估值的SVD分解计算方法,本程序可将最小二乘估值问题转化为超定方程组的问题处理,且可用奇异值分解的方法计算最小二乘问题。-Least Squares Estimates of the SVD decomposition method, the valuation process can be transformed into squares overdetermined equations deal with the problem, and can be calculated sing
OFDM-channel-estimation
- OFDM经典论文,学习OFDM必看文章,是关于OFDM奇异值分解信道估计的。-OFDM classic paper, learning OFDM must-see article, is the About OFDM singular value decomposition of channel estimation.
Preparation
- 潜在语义准备,包括文档变换,SVD(奇异值分解)等方法。-Latent Semantic prepared, including document conversion, SVD (singular value decomposition) and other methods.