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ErrExpSI06
- Capacity and Random-Coding Exponents for Channel Coding with Side Information （P.moulin关于信息隐藏容量的论文2006年）-Capacity and Random-Coding for Exponents Channel Coding with Side Information (P.mouli n hidden information on the capacity of the paper in 2
Markov_segment
- 图像分割中的马尔可夫随机场方法综述，中国图象图形学报上面的文章，2007年-Image segmentation of Markov random field methods, the Chinese Journal of Image and Graphics of the above articles, 2007
ch01sol
- Probability,Random Variables,and Random Signal Principles, 4/E (Peebles, P.Z. McGraw-Hill) ch01 solution
ch02sol
- probability random variables and random signal princples, 4/E (Peebles, P.Z. McGraw-Hill) ch 2 solution
ch03sol
- probability random variables and random signal princples, 4/E (Peebles, P.Z. McGraw-Hill) ch 3 solution
ch04sol
- probability random variables and random signal princples, 4/E (Peebles, P.Z. McGraw-Hill) ch 4 solution
ch05sol
- probability random variables and random signal princples, 4/E (Peebles, P.Z. McGraw-Hill) ch 5 solution
ch06sol
- probability random variables and random signal princples, 4/E (Peebles, P.Z. McGraw-Hill) ch 6 solution
SRAM_types
- The random access memory comprises hundreds of thousands of small capacitors that store loads. When loaded, the logical state of the capacitor is equal to 1, otherwise it is 0, meaning that each capacitor represents one memory
php-gd-image-watermark
- Watermark Creation We create the mark using a pseudorandom generator and a bi-valued +/-1 random sequence. The sequence is constructed as follows:
Client
- This paper introduces a message forwarding algorithm for search applications within mobile ad hoc networks that is based on the concept of selecting the nearest node from a set of designated nodes. The algorithm, which is called Minimum Distance P
Research-and-Progress
- 针对随机相位编码光学图像加密技术，简要回顾了它的国内外研究进展，并讨论了它的发展态势。-Research and progress of optical image encryption using random phase mask present research situation and development of image encryption using random phase mask at home and abroad are reviewed. At the sam
em_covariances
- Using SAS/IML : This code uses the EM algorithm to estimate the maximum likelihood (ML) covariance matrix and mean vector in the presence of missing data. This implementation of the EM algorithm or any similar ML approach assumes that the data are
Probability--Random-Variables-and-Random-Processe
- In the study of probability, any process of observation is referred to as an experiment. The results of an observation are called the outcomes of the experiment. An experiment is called a random experiment if its outcome cannot be predicted. Typi
Training-an-Active-Random-Field-for-Real-Time
- Many computer vision problems can be formulated in a Bayesian framework based on Markov Random Fields (MRF) or Conditional Random Fields (CRF).
p2p-networks-and-random-graphs
- A PhD thesis by Peter Mahlmann. Devoted to design and implementation of P2P networks, based on random graphs. It creates a low-latency model for a P2P network, based on random graph theory. Contains links to a Java implementation of the prototype.
Rahut-Random-sampling-of-sparse-trig-poly-II-2008
- Rahut-Random sampling of sparse trig poly II-2008
Random-Signals
- random signals and applicatioon with Matlab
Random-Data
- There s random data that could be uploaded for testing algorithms and processes
Random-Matrix-
- 电网暂态分析是保证电网稳定运行的重要手段。随着电网广域测量系统(wide-area management system， WAMS)的发展，电网形成了具有时空特性的高维海量运行数据。传统的电网暂态分析采用物理模型，用严格的数学公式关联维度之间数据，这种模型不能充分利用海量电网运行数据，造成资源浪费。从数据驱动的角度，首先分析 WAMS 数据的应用情况，考虑电网运行数据特点建立数据模型。然后利用随机矩阵理论(random matrix theory， RMT) 建立平均谱半径(mean spect