Blind estimation of multiple digital signals transmitted over FIR channels

IEEE Signal Processing Letters ◽

10.1109/97.386290 ◽

1995 ◽

Vol 2 (5) ◽

pp. 99-102 ◽

Author(s):

A.-J. Van der Veen ◽

S. Talwar ◽

A. Paulraj

Keyword(s):

Blind Estimation ◽

Digital Signals

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Blind estimation of finite alphabet digital signals using eigenspace-based beamforming techniques

Signal Processing ◽

10.1016/j.sigpro.2004.01.007 ◽

2004 ◽

Vol 84 (5) ◽

pp. 895-905 ◽

Author(s):

Jung-Lang Yu ◽

Yuan-Chieh Cheng

Keyword(s):

Finite Alphabet ◽

Blind Estimation ◽

Digital Signals

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Blind estimation of multiple digital signals transmitted over multipath channels

Proceedings of MILCOM '95 ◽

10.1109/milcom.1995.483533 ◽

2002 ◽

Author(s):

A.-J. van der Veen ◽

S. Talwar ◽

A. Paulraj

Keyword(s):

Multipath Channels ◽

Blind Estimation ◽

Digital Signals

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Blind estimation of multiple co-channel digital signals arriving at an antenna array

Proceedings of 27th Asilomar Conference on Signals, Systems and Computers ◽

10.1109/acssc.1993.342532 ◽

2002 ◽

Author(s):

S. Talwar ◽

M. Viberg ◽

A. Paulraj

Keyword(s):

Antenna Array ◽

Blind Estimation ◽

Digital Signals

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Blind estimation of multiple co-channel digital signals using an antenna array

IEEE Signal Processing Letters ◽

10.1109/97.300310 ◽

1994 ◽

Vol 1 (2) ◽

pp. 29-31 ◽

Author(s):

S. Talwar ◽

M. Viberg ◽

A. Paulraj

Keyword(s):

Antenna Array ◽

Blind Estimation ◽

Digital Signals

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Unconditional maximum likelihood approach for blind estimation of digital signals

1996 IEEE International Conference on Acoustics, Speech, and Signal Processing Conference Proceedings ◽

10.1109/icassp.1996.543551 ◽

2002 ◽

Author(s):

B. Halder ◽

B.C. Ng ◽

A. Paulraj ◽

T. Kailath

Keyword(s):

Maximum Likelihood ◽

Blind Estimation ◽

Digital Signals ◽

Maximum Likelihood Approach ◽

Likelihood Approach

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Blind estimation of multiple co-channel digital signals in vector FIR channels

Proceedings of GLOBECOM 95 GLOCOM-95 ◽

10.1109/glocom.1995.500224 ◽

2002 ◽

Author(s):

S.N. Diggavi ◽

Young Man Cho ◽

A. Paulraj

Keyword(s):

Blind Estimation ◽

Digital Signals

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Measurement method for eye opening estimation on digital signals

IEE Proceedings F Communications Radar and Signal Processing ◽

10.1049/ip-f-1.1987.0079 ◽

1987 ◽

Vol 134 (5) ◽

pp. 454

Author(s):

M. Kawashima

Keyword(s):

Measurement Method ◽

Digital Signals ◽

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Joint Blind Estimation of Channel Length and Noise Variance in OFDM Systems

IEICE Transactions on Communications ◽

10.1587/transcom.e94.b.3614 ◽

2011 ◽

Vol E94-B (12) ◽

pp. 3614-3617

Author(s):

Bin SHENG ◽

Pengcheng ZHU ◽

Xiaohu YOU

Keyword(s):

Channel Length ◽

Blind Estimation ◽

Ofdm Systems ◽

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A METHOD FOR AUTOMATIC BLIND ESTIMATION OF ADDITIVE NOISE VARIANCE IN DIGITAL IMAGES

Telecommunications and Radio Engineering ◽

10.1615/telecomradeng.v69.i19.10 ◽

2010 ◽

Vol 69 (19) ◽

pp. 1681-1702

Author(s):

V. V. Lukin ◽

S. K. Abramov ◽

A. V. Popov ◽

P. Ye. Eltsov ◽

Benoit Vozel ◽

...

Keyword(s):

Additive Noise ◽

Digital Images ◽

Blind Estimation ◽

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A Python application to generate digital signals

Studia Universitatis Babeș-Bolyai Engineering ◽

10.24193/subbeng.2020.1.10 ◽

2020 ◽

Vol 65 (1) ◽

pp. 96-104

Author(s):

Tatian-Cristian Mălin

Keyword(s):

Numerical Simulation ◽

Programming Language ◽

Digital Signals ◽

Python Programming Language ◽

Python Programming

We introduce in this paper an application developed in the Python programming language that can be used to generate digital signals with known frequencies and amplitudes. These digital signals, since have known parameters, can be used to create benchmarks for test and numerical simulation.

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