搜索资源列表
CS-BP
- 压缩感知重构经典算法-BP算法，试用效果不错相对于OMP好很多，但重构时间较长-compressed sensing；BP algorithm；compressive sensing
MSBL_code
- 稀疏贝叶斯学习是一种很好压缩感知，信号恢复方法。-sparse bayesian learning is a good cs method for coefficient recovery.
l1magic
- 压缩感知全变分算法 简单好用 容易学习 非常利于学习-compressive sensing
CS_OPMP
- 比较有用的压缩感知重构算法，可以运行希望对大家有所帮助-more useful matlab compressed sensing reconstruction algorithm, we hope to help you
mssb
- 实现贝叶斯分类器的设计，以及感知准则分类器设计-Design and implementation of design Bias classifiers achieve Bias classifier
SP_sin_RS
- 压缩感知中用于正弦信号恢复的子空间追踪算法，对于理解子空间追踪很有帮助！-subspace pursuit algorithm for signal recorvery
modelcs_v1.1
- 图像处理中压缩感知的matlab源代码，-Compressed sensing image processing
RELIY-ENERGY-DECTOR
- 认知无线电系统中，瑞利信道条件下的能量检测算法实现的频谱感知方法。-Cognitive radio systems, Rayleigh channel conditions energy detection method for spectrum sensing algorithm.
CSWavelet_OMP
- 利用压缩感知的正交匹配追踪算法，即OMP算法实现压缩感知稀疏信号重构，效果较好。-use OMP to reproduce signal
matlab---perceptron
- matlab实现的感知机应用上的实例，对其具体功能的加深认识-matlab implementation of Perceptron application examples to deepen understanding of their specific functions
Artificial-Intelligence-Problems.tar
- 人工智能期末复习题 一、选择题： 1、人类智能的特性表现在4个方面__________。( B ） A、聪明、灵活、学习、运用。 B、能感知客观世界的信息、能对通过思维对获得的知识进行加工处理、能通过学习积累知识增长才干和适应环境变化、能对外界的刺激作出反应传递信息。 C、感觉、适应、学习、创新。 D、能捕捉外界环境信息、能够利用利用外界的有利因素、能够传递外界信息、能够综合外界信息进行创新思维。 2、人工智能的目的是让机器能够___________。(
csbcsvb
- 压缩感知重构算法，bcsvb，适合压缩重构。-Compressed sensing reconstruction algorithm, bcsvb, suitable for compression reconstruction.
PMKFandPAKF
- 实现卡尔曼滤波压缩感知和射影法压缩感知的算法对吧，包含了两者的性能仿真结果-Kalman filtering compressed sensing and projective France compressed sensing algorithm to it, including the performance of both the simulation results
sbl_pmkf_radar
- 用SBL算法和卡尔曼滤波压缩感知算法实现雷达的一维距离像成像，并对两者进行了成像性能分析对吧-SBL algorithm and Kalman filter using compressed sensing algorithm for one-dimensional range radar imaging, and imaging performance analysis carried out both right
matlab-MRF-toy-examples
- 压缩感知中置信传播和马尔可夫随机场的全部源代码-Compressed sensing belief propagation and Markov random field full source code
BAN-with-Compressed-Sensing.pdf
- 该文章利用压缩感知技术降低无线体域网的能量消耗，很新的一篇文章，很好的一个研究启示。-Low power consumption is a critical challenging problem for BAN, while there is great potential for compressed sensing in decreasing transmission data.
SP
- 压缩感知重构算法中的子空间追踪算法，是一种迭代贪婪算法。-Subspace pursuit algorithm is a kind of greedy pursuit algorithms in compressed sensing.
GP
- 梯度追踪算法，是压缩感知重构算法中计算较为复杂的算法。-Gradient tracking algorithm, is compressed sensing reconstruction algorithm to calculate more complex algorithms.
FastLaplace
- 利用拉普拉斯先验的压缩感知稀疏重构的贝叶斯方法，具有较好的计算精度-Bayesian compressive sensing using laplace priors，with high accuracy
NSL0
- 基于光滑l0范数和修正牛顿法的压缩感知重建算法，算法简单有效，具有较好的计算精度-Compressed sensing reconstruction algorithm of smooth l0 norm and correction based on Newton method