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LP_en
- describe linear prediction coding and its importance in speech enhancement and it refers to a method to choose the predictor order
Welch_2006_Filter
- The Kalman filter30 is a minimum-variance filter in which time-series measurements are incorporated recursively into estimates of state variables it is the optimal, Bayesian least-squares estimator for linear dynamic systems.-dd
project
- design and simulation of Neural Networks for linear and nonlinear system
RS
- RS纠错编码的原理介绍书籍。比较详细介绍了线性分组码、伽罗华域的概念，重要的是介绍了从原理至工程实现的设计方法。-RS error correction coding theory describes the books. A more detailed descr iption of the linear block code, the concept of Galois fields, it is important introduction to engineering design pr
Gauss
- In linear algebra, Gaussian elimination (also known as row reduction) is an algorithm for solving systems of linear equations. It is usually understood as a sequence of operations performed on the associated matrix of coefficients. This method can al