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polar angle average for Beamforming
標簽： Beamforming average polar angle
上傳時間： 2013-11-29
上傳用戶：maizezhen
Beamforming thesis describing Study of a various Beamforming Techniques And Implementation of the Constrained Least Mean Squares (LMS) algorithm for Beamforming
標簽： Beamforming Implementation describing Techniques
上傳時間： 2013-12-25
上傳用戶：wuyuying
Beamforming for MIMO OFDM
標簽： Beamforming MIMO OFDM for
上傳時間： 2017-07-21
上傳用戶：gut1234567
Beamforming for MIMO OFDM
標簽： Beamforming MIMO OFDM for
上傳時間： 2014-09-02
上傳用戶：familiarsmile
lms算法實現單波束形成，線陣單波束形成，(linear array signal Beamforming )
上傳時間： 2015-11-19
上傳用戶：skfreeman
A MATLAB GUI platform for realizing the radiation pattern of narrowband beamformer with random array geometry. User can specify the array geometry, directions of incoming signals, noise power, and the type of beamformer. Useful for gaining insight about collaborative Beamforming in sensor networks and random arrays. You need both randomarray.fig and randomarray.m to work.
標簽： beamformer narrowband realizing radiation
上傳時間： 2014-01-06
上傳用戶：qb1993225
1 Array Fundamentals 1.1 Spatial Signals 1.2 Array Signal Model 1.3 Spatial Sampling 2 Conventional Spatial Filtering: Beamforming - Beam response 2.1 Spatial Matched Filter -Element spacing -Array aperture and resolution 3 Conclusions
標簽： Spatial Array Fundamentals Conventio
上傳時間： 2017-04-17
上傳用戶：jiahao131
implement basic routines in Matlab and Octave (currently using Matlab R13) for simulating adaptive Beamforming and filtering for antenna arrays.
標簽： Matlab simulating implement currently
上傳時間： 2014-01-03
上傳用戶：851197153
This file contians three programs which used for Smart antenna simulation,including DOA estimation by MUSIC and ESPRIT algorithm,Adaptive Beamforming , and Signal Regeneration
標簽： estimation simulation including contians
上傳時間： 2013-12-03
上傳用戶：dreamboy36
This report presents a tutorial of fundamental array processing and Beamforming theory relevant to microphone array speech processing. A microphone array consists of multiple microphones placed at different spatial locations. Built upon a knowledge of sound propagation principles, the multiple inputs can be manipulated to enhance or attenuate signals emanating from particular directions. In this way, microphone arrays provide a means of enhancing a desired signal in the presence of corrupting noise sources. Moreover, this enhancement is based purely on knowledge of the source location, and so microphone array techniques are applicable to a wide variety of noise types. Microphone arrays have great potential in practical applications of speech processing, due to their ability to provide both noise robustness and hands-free signal acquisition.
標簽： Microphone array Tutorial Array Signal Processing
上傳時間： 2016-06-12
上傳用戶：halias
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