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信息论是由通信技术、概率论、随机过程和数理统计等相结合逐步发展而形成的一门新兴科学。其奠基人是美国数学家香农，他的《通信的数学原理》奠定了信息论的基础。
这是信息论与编码技术的教学课件。压缩包内含有6个ppt文件，每个ppt自成一章:1绪论、2信源及其熵、3信道及其容量、4信息率失真函数、5信源编码、6信道编码。是初学信息论的最好材料。-Information communication technology is, probability theory and mathematical s
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应用随机过程的课程设计报告，综述性质，讲应用随机过程在图像处理中的应用-Application of stochastic process of curriculum design report summarizing the nature, stresses the application of stochastic processes in the Image Processing
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Probability And Stochastic Processes - A Friendly Introduction For Electrical And Computer Engineers (Matlab Code 22S) Roy D Yates
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Simulation of stationary stochastic processes
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This book provides an overview and introduction to signal detection and
estimation. The book contains numerous examples solved in detail. Since some
material on signal detection could be very complex and require a lot of background
in engineeri
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solution of probability, random variables and stochastic processes
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Speech Coding Standards, SIGNAL PROCESSING TECHNIQUES, STOCHASTIC PROCESSES AND MODELS, LINEAR PREDICTION, SCALAR QUANTIZATION, PULSE CODE MODULATION AND ITS VARIANTS, VECTOR QUANTIZATION, LINEAR PREDICTION CODING, etc.
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Random processes with applications，随机过程应用，通信入门必备学科，学好本科对今后的通信学习非常有用-Random processes with applications, the application of stochastic processes, communication entry essential subjects to learn the undergraduate learning is very useful for future comm
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关于用MATLAB处理随机过程课程的程序编写介绍.-About using MATLAB program to deal with random processes course to write the introduction.
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Adaptive Filtering Primer with MATLAB® clearly explains the fundamentals of adaptive filtering supported by numerous examples and computer simulations. The authors introduce discrete-time signal processing, random variables and stochastic process
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Discrete Simulation of Colored Noise
and Stochastic Processes and l/f^(alpha)
Power Law Noise Generation
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a useful text for electrical and computer engineers. This book is a comprehensive treatment of probability and random processes that, more than any other available source, combines rigor with accessibility. Beginning with the fundamentals of probabil
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一种HMM可以呈现为最简单的动态贝叶斯网络。隐马尔可夫模型背后的数学是由LEBaum和他的同事开发的。它与早期由RuslanL.Stratonovich提出的最优非线性滤波问题息息相关，他是第一个提出前后过程这个概念的。
在简单的马尔可夫模型（如马尔可夫链），所述状态是直接可见的观察者，因此状态转移概率是唯一的参数。在隐马尔可夫模型中，状态是不直接可见的，但输出依赖于该状态下，是可见的。每个状态通过可能的输出记号有了可能的概率分布。因此，通过一个HMM产生标记序列提供了有关状态的一些序
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所上传为教程《信号处理的数学方法和算法》的配套代码。该书为读者和编程爱好者提供了广泛的应用于当代信号处理里面的数学工具。本书提供了分析，线性代数，优化，统计信号处理方面的扎实基础知识，以及配套算法代码。有趣的前沿课题包括了许多其他信号处理书籍里面的问题，比如，EM算法，盲源操作，凸集合的投影，等等，还包括许多常规的课题，比如谱估计，自适应滤波，等等。-Mathematical Methods and Algorithms for Signal Processing tackles the cha
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understanding of the fundamental concepts incorporated in stochastic processes, estimation
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随机过程讲解包含马尔科夫，泊松等典型随机过程(The explanation of stochastic process includes Markov, Poisson and other typical stochastic processes.)
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Stochastic Processes inScience,Enginering, Economiy.rar
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