Implements mixture of binary (logistic) PCAs where pixels are modeled using Bernoulli distributions instead of Gaussian. The images do not need to be aligned.
標簽： distributions Implements Bernoulli logistic
上傳時間： 2013-12-26
上傳用戶：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.
標簽： communication modulation frequency simulator
上傳時間： 2013-12-25
上傳用戶：王楚楚
壓縮包中有5篇論文，分別為《Data-driven analysis of variables and dependencies in continuous optimization problems and EDAs》這是一篇博士論文，較為詳細的介紹了各種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》《基于一般二階混合矩的高斯分布估計算法》介紹了一些基于EDA的創新算法。
上傳時間： 2020-05-25
上傳用戶：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
標簽： Communication Foundation Digital in
上傳時間： 2020-05-26
上傳用戶：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.
標簽： Receivers Adaptive Antennas and
上傳時間： 2020-05-26
上傳用戶：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.
標簽： Communication Principles Simulation Systems of
上傳時間： 2020-05-31
上傳用戶：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.
標簽： Telecommunications Processing Signal for
上傳時間： 2020-06-01
上傳用戶：shancjb
本書全面而系統地介紹了 MATLAB 算法和案例應用，涉及面廣，從基本操作到高級算法應用，幾乎 涵蓋 MATLAB 算法的所有重要知識。本書結合算法理論和流程，通過大量案例，詳解算法代碼，解決具 體的工程案例，讓讀者更加深入地學習和掌握各種算法在不同案例中的應用。 本書共 32 章。涵蓋的內容有 MATLAB 基礎知識、GUI 應用及數值分析、MATALB 工程應用實例、 GM 應用分析、PLS 應用分析、ES 應用分析、MARKOV 應用分析、AHP 應用分析、DWRR 應用分析、 模糊逼近算法、模糊 RBF 網絡、基于 FCEM 的 TRIZ 評價、基于 PSO 的尋優計算、基于 PSO 的機構優 化、基本 PSO 的改進策略、基于 GA 的尋優計算、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 的尋優計算、基于 Bayes 的數據預測、基于 SOA 的 PID 參數整定、基于 BP 的人臉方向預測、基于 Hopfield 的數字識別、基于 DEA 的投入產出分析、基于 BP 的數據分類、基于 SOM 的數據分類、基于人工免疫 PSO 的聚類算法、 模糊聚類分析和基于 GA_BP 的抗糖化活性研究。 本書適合所有想全面學習 MATALB 優化算法的人員閱讀，也適合各種使用 MATALB 進行開發的工 程技術人員閱讀。對于相關高校的教學與研究，本書也是不可或缺的參考書。另外，對于 MATLAB 愛好 者，本書也對網絡上討論的大部分疑難問題給出了解答，值得一讀。
上傳時間： 2022-07-26
上傳用戶：
