WebMay 15, 2024 · A blind interleaver parameters estimation algorithm that uses Gauss-Jordan elimination through pivoting and considers channel noises is described in . This method finds almost dependent columns which have the minimum Hamming weight and uses it as a measure for predicting interleaver period. Web“blind” captures the notion that signal estimates are obtained blindly with regard to knowledge of the distortion and interference. Since its origins nearly half a century ago, …
What’s the Average Cost of Blinds for Windows?
WebApr 7, 2024 · Most of the existing blind image Super-Resolution (SR) methods assume that the blur kernels are space-invariant. However, the blur involved in real applications are usually space-variant due to object motion, out-of-focus, etc., resulting in severe performance drop of the advanced SR methods. To address this problem, we firstly … WebA blind estimation algorithm based on overlapping segment Markov Chain Monte Carlo-Unscented Kalman Filter(MCMC-UKF) is proposed for the problem of spread spect Blind estimation of spread spectrum code and information sequence of DSSS signals based on MCMC — UKF IEEE Conference Publication IEEE Xplore bird in hand carriages
Blind Estimation of Motion Blur Parameters for Image …
WebSep 21, 2012 · For blind estimation, we will choose the stage number adaptive to all the M-PSK signals. However, the large stage number brings in the performance decreasing. The highest modulation order M′ should be known before blind estimation, and the optimal stage number is log 2 M′. It has been shown from the architecture of the proposed … WebThe reverberation time (RT) measures the persistence of a sound in enclosed acoustic spaces. In a previous work, a method for the blind maximum-likelihood estimation (MLE) of RT using passively received microphone signals was presented. The procedure overcomes the drawbacks of current methods that use a controlled sound source for RT determination. WebMar 23, 2005 · In this paper, we discuss a semi-blind channel estimation algorithm for rapidly time-varying channels, relying on a complex exponential basis expansion model (CE-BEM) for the channel. However, whereas the original CE-BEM approach models a rectangularly windowed version of the channel, the proposed CE-BEM approach models … damage to wernicke\u0027s area