搜索资源列表
dissert
- Sparse Signal Representation using Overlapping Frames-Sparse Signal Representation using Overl apping Frames
xishujuzhen1
- 稀疏矩阵算法设计-sparse matrix algorithm design
SpareMatrix
- 稀疏矩阵的抽象数据结构的算法的实现，首先声明一个类，在该类的基础上实现数据的存储与矩阵的转置-sparse matrix of the abstract data structure of the algorithm to achieve and be the first to declare a class, In such on the basis of data storage and matrix transpose
LK光流算法，包括opencv中LK稀疏跟踪的原理
- LK光流算法，包括opencv中LK稀疏跟踪的原理，主要是几篇英文文献，另外还有LK的matlab代码-LK optical flow algorithms, including LK sparse tracking opencv in principle, mainly a few in English literature, in addition to LK matlab code
LUFPGA
- Sparse LU Decomposition using FPGA，使用fpga实现lu分解的算法实现-Sparse LU Decomposition using FPGA, using the FPGA to achieve lu decomposition algorithm
Sparse_Signal_Representation
- 介绍压缩传感理论中要用到的信号的稀疏表征原理-Introduced the theory of compressed sensing to use the sparse representation of signal theory
DSPSS10-Seminar-3
- Locally Adaptive Sparse Representation for Detection, Classification, and Recognition. Lectuures given by Prof Trac Tran from john Hopkins university
l1benchmark
- 主要用于解决模式识别中稀疏表示人脸识别核心问题L1范数源代码，程序采用同伦算法设计的，在目前稀疏表示多种算法中，同伦算法是性能公认最好的.-Mainly used to solve the sparse representation of face recognition pattern recognition in the core of L1 norm source code, the program designed using the homotopy algorithm, sparse
Sparse-Coding-by-Elad
- Elad写的关于稀疏理论的书，内容丰富，适合初学稀疏理论的同学，不容错过额-a book about sparse representation of signal and its practice
Learning-Incoherent-Dictionaries-for-Sparse-Appro
- Learning Incoherent Dictionaries for Sparse Approximation using Iterative Projections and Rotations
One-yuan-sparse-matrix-operations
- 一元稀疏矩阵的运算包括加法 减法 乘法 除法-One yuan sparse matrix operations
Sparse-decomposition-algorithm
- 提出了种并行的稀疏分解算法，以解决目前的稀疏分解算法计算量大、耗时多，不适宜用作战场声目标实时识别的缺点。-Kinds of parallel sparse decomposition algorithm to solve the sparse decomposition algorithm large, time-consuming, and not suitable for real-time recognition of the shortcomings of the battlefiel
Sparse-Leaning
- 基于稀疏学习理论对人脸表情分析中灰度、局部二值模式、C}abor等不同面部特征的稀疏表达问题进行了研究。首先，对稀疏表达、K-S V D以及D-KSVD等稀疏学习算法进行了分析 接着，在JAFFF人脸表情数据库上对不同算法进行了表情识别实验。-Facial Expression Recognition Based on Sparse Leaning
Sparse-Representations-radar
- Sparse Representations for Radar with MATLAB Examples
Image-Sparse-Representation-Model
- 完备图像稀疏表示是一种最新的图像表示模型，采用过完备字典中原子的线性组合形式实现图像的稀疏表示．传统 的过完备图像稀疏表示模型采用重建误差的平方和作为保真项．该保真项没有充分考虑到人眼对图像的感知特性，无法度量图 像中边缘、轮廓、纹理等局部几何结构的变化．本文基于过完备稀疏表示理论思想，建立了新的稀疏性正则化的图像稀疏表示模 型．模型中的正则项约束图像表示系数的稀疏性，保真项采用更符合视觉感知的结构相似性度量．基于正交匹配追踪算法，提出 了基于结构相似度的正交匹配追踪算法．实验结
184081165-16-Bit-Wave-Pipelined-Sparse-Tree-RSFQ-
- In this system, we discuss the architecture, design, and testing of the first 16-bit asynchronous wave-pipelined sparse-tree superconductor rapid single flux quantum adder implemented using the ISTEC 10 kA/cm 2ADP2.1 fabrication process. Compar
Elastic-Sparse-Matrix-
- Sparse matrix based on elastic net
sparse-representation
- 3D数据稀疏表示算法及其软件流程的知识 好文章，推荐查阅学习 -good article about sparse representation
Sparse
- Algorithms for sparse approximation by implementing Orthogonal Matching Pursuit and Basis pursuit.
A-Robust-Algorithm-for-Joint-Sparse
- 脉冲噪声背景下的联合稀疏恢复方法， 在不同背景下给出了测试结果-presents a robust solution for joint sparse recovery (JSR) under impulsive noise. The unknown measurement noise is endowed with the Student-t distribution, then a novel Bayesian probabilistic model is proposed to