Implementation of LMS-based Equalizer in MATLAB
標簽： Implementation Equalizer LMS-based MATLAB
上傳時間： 2017-07-05
上傳用戶：BIBI
Zero-forcing Equalizer
上傳時間： 2017-07-05
上傳用戶：lunshaomo
channel Equalizer for wireless communication system
標簽： communication Equalizer wireless channel
上傳時間： 2014-01-21
上傳用戶：lanwei
The design of Equalizer for communication channels with unknown and time variable channel coefficients.
標簽： communication coefficien Equalizer channels
上傳時間： 2013-12-20
上傳用戶：牧羊人8920
BER with ZF Equalizer with 2×2 MIMO
上傳時間： 2017-09-26
上傳用戶：songnanhua
Equalizer model for a comm channel
標簽： Equalizer channel model comm
上傳時間： 2014-01-19
上傳用戶：王者A
Adaptive Filter. This script shows the BER performance of several types of Equalizers in a static channel with a null in the passband. The script constructs and implements a linear Equalizer object and a decision feedback Equalizer (DFE) object. It also initializes and invokes a maximum likelihood sequence estimation (MLSE) Equalizer. The MLSE Equalizer is first invoked with perfect channel knowledge, then with a straightforward but imperfect channel estimation technique.
標簽： performance Equalizers Adaptive several
上傳時間： 2016-02-16
上傳用戶：yan2267246
This project aim was to build wireless software modem for data communication between two computers using an acoustic interface in the voice frequency range (20Hz– 20,000Hz). The transmitting antenna is a speaker (frequency response of: 90Hz – 20,000Hz) and the receiving antenna is a microphone (frequency response of: 100Hz – 16,000Hz). The test files used as information files were text files. This goal was attained both in an incoherent scheme and in a coherent scheme. Build under Matlab code, our modem uses OFDM (orthogonal frequency division multiplexing) modulation, synchronization by LMS sequence, channel estimation (no Equalizer) via pilot tones. The symbols are either PSK or ASK for a constellation size of 2 or 4. To optimize the probability of error, these symbols were mapped using Gray mapping. Report
標簽： communication computers software wireless
上傳時間： 2014-05-29
上傳用戶：wangdean1101
This demo shows the BER performance of linear, decision feedback (DFE), and maximum likelihood sequence estimation (MLSE) Equalizers when operating in a static channel with a deep null. The MLSE Equalizer is invoked first with perfect channel knowledge, then with an imperfect, although straightforward, channel estimation algorithm. The BER results are determined through Monte Carlo simulation. The demo shows how to use these Equalizers seamlessly across multiple blocks of data, where Equalizer state must be maintained between data blocks.
標簽： performance likelihood decision feedback
上傳時間： 2013-11-25
上傳用戶：1079836864
4 16 64 QAM plots for simulated and theoretical results for OFDM system with addition of Cyclic prefix and a zero-Forcing Equalizer.
標簽： theoretical for simulated addition
上傳時間： 2017-06-02
上傳用戶：hgy9473
