Implements mixture of binary (logistic) PCAs where pixels are modeled using Bernoulli distributions instead of Gaussian. The images do not need to be aligned.
标签： distributions Implements Bernoulli logistic
上传时间： 2013-12-26
上传用户：xiaoyunyun
This is an analog signal communication simulator, usign frequency modulation. It is designed in MATLAB-Simulink. The communications channel beetween the transmitter and the reciever is supposed to be affected by additive white Gaussian noise.
标签： communication modulation frequency simulator
上传时间： 2013-12-25
上传用户：王楚楚
压缩包中有5篇论文，分别为《Data-driven analysis of variables and dependencies in continuous optimization problems and EDAs》这是一篇博士论文，较为详细的介绍了各种EDA算法；《Anisotropic adaptive variance scaling for Gaussian estimation of distribution algorithm》《Enhancing Gaussian Estimation of Distribution Algorithm by Exploiting Evolution Direction with Archive》《Niching an Archive-based Gaussian Estimation of Distribution Algorithm via Adaptive Clustering》《Supplementary material for Enhancing Gaussian Estimation of Distribution Algorithm by Exploiting Evolution Direction with Archive》《基于一般二阶混合矩的高斯分布估计算法》介绍了一些基于EDA的创新算法。
上传时间： 2020-05-25
上传用户：duwenhao
Without conceding a blemish in the first edition, I think I had best come clean and admit that I embarked on a second edition largely to adopt a more geometric approach to the detection of signals in white Gaussian noise. Equally rigorous, yet more intuitive, this approach is not only student-friendly, but also extends more easily to the detection problem with random parameters and to the radar problem
标签： Communication Foundation Digital in
上传时间： 2020-05-26
上传用户：shancjb
Homogeneous Partitioning of the Surveillance Volume discusses the implementation of the first of three sequentially complementary approaches for increasing the probability of target detection within at least some of the cells of the surveillance volume for a spatially nonGaussian or Gaussian “noise” environment that is temporally Gaussian. This approach, identified in the Preface as Approach A, partitions the surveillance volume into homogeneous contiguous subdivisions.
标签： Receivers Adaptive Antennas and
上传时间： 2020-05-26
上传用户：shancjb
This book is a result of the recent rapid advances in two related technologies: com- munications and computers. Over the past few decades, communication systems have increased in complexity to the point where system design and performance analysis can no longer be conducted without a significant level of computer sup- port. Many of the communication systems of fifty years ago were either power or noise limited. A significant degrading effect in many of these systems was thermal noise, which was modeled using the additive Gaussian noise channel.
标签： Communication Principles Simulation Systems of
上传时间： 2020-05-31
上传用户：shancjb
This paper presents a Hidden Markov Model (HMM)-based speech enhancement method, aiming at reducing non-stationary noise from speech signals. The system is based on the assumption that the speech and the noise are additive and uncorrelated. Cepstral features are used to extract statistical information from both the speech and the noise. A-priori statistical information is collected from long training sequences into ergodic hidden Markov models. Given the ergodic models for the speech and the noise, a compensated speech-noise model is created by means of parallel model combination, using a log-normal approximation. During the compensation, the mean of every mixture in the speech and noise model is stored. The stored means are then used in the enhancement process to create the most likely speech and noise power spectral distributions using the forward algorithm combined with mixture probability. The distributions are used to generate a Wiener filter for every observation. The paper includes a performance evaluation of the speech enhancer for stationary as well as non-stationary noise environment.
标签： Telecommunications Processing Signal for
上传时间： 2020-06-01
上传用户：shancjb
本书全面而系统地介绍了 MATLAB 算法和案例应用，涉及面广，从基本操作到高级算法应用，几乎 涵盖 MATLAB 算法的所有重要知识。本书结合算法理论和流程，通过大量案例，详解算法代码，解决具 体的工程案例，让读者更加深入地学习和掌握各种算法在不同案例中的应用。 本书共 32 章。涵盖的内容有 MATLAB 基础知识、GUI 应用及数值分析、MATALB 工程应用实例、 GM 应用分析、PLS 应用分析、ES 应用分析、MARKOV 应用分析、AHP 应用分析、DWRR 应用分析、 模糊逼近算法、模糊 RBF 网络、基于 FCEM 的 TRIZ 评价、基于 PSO 的寻优计算、基于 PSO 的机构优 化、基本 PSO 的改进策略、基于 GA 的寻优计算、基于 GA 的 TSP 求解、基于 Hopfield 的 TSP 求解、基 于 ACO 的 TSP 求解、基于 SA 的 PSO 算法、基于 kalman 的 PID 控制、基于 SOA 的寻优计算、基于 Bayes 的数据预测、基于 SOA 的 PID 参数整定、基于 BP 的人脸方向预测、基于 Hopfield 的数字识别、基于 DEA 的投入产出分析、基于 BP 的数据分类、基于 SOM 的数据分类、基于人工免疫 PSO 的聚类算法、 模糊聚类分析和基于 GA_BP 的抗糖化活性研究。 本书适合所有想全面学习 MATALB 优化算法的人员阅读，也适合各种使用 MATALB 进行开发的工 程技术人员阅读。对于相关高校的教学与研究，本书也是不可或缺的参考书。另外，对于 MATLAB 爱好 者，本书也对网络上讨论的大部分疑难问题给出了解答，值得一读。
上传时间： 2022-07-26
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