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wiener

  • 各種濾波器

    各種濾波器,包括LMS、RLS、wiener,Kalman,Median等濾波器源碼,都是原創

    標簽: 濾波器

    上傳時間: 2013-12-19

    上傳用戶:a3318966

  • 維納濾波算法

    維納濾波(wiener filtering) 一種基于最小均方誤差準則、對平穩過程的最優估計器。這種濾波器的輸出與期望輸出之間的均方誤差為最小,因此,它是一個最佳濾波系統。它可用于提取被平穩噪聲所污染的信號。

    標簽: 維納濾波 算法

    上傳時間: 2017-12-15

    上傳用戶:zmhylez

  • Probability and Random Processes

    Many good textbooks exist on probability and random processes written at the under- graduate level to the research level. However, there is no one handy and ready book that explains most of the essential topics, such as random variables and most of their frequently used discrete and continuous probability distribution functions; moments, transformation, and convergences of random variables; characteristic and generating functions; estimation theory and the associated orthogonality principle; vector random variables; random processes and their autocovariance and cross-covariance functions; sta- tionarity concepts; and random processes through linear systems and the associated wiener and Kalman filters. 

    標簽: Probability Processes Random and

    上傳時間: 2020-05-31

    上傳用戶:shancjb

  • Signal Processing for Telecommunications

    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

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