Adaptive frequency touchscreen controller using intermediate-frequency signal processing

2002 ◽  
Vol 112 (6) ◽  
pp. 2510
Author(s):  
Robert Adler
Keyword(s):  
Signal Processing ◽  
Intermediate Frequency ◽  
Frequency Signal

scholarly journals Applications of Time-Frequency Signal Processing in Wireless Communications and Bioengineering

2011 ◽  
Vol 2010 (1) ◽  
Author(s):  
LuisF Chaparro (EURASIP Member) ◽  
Aydın Akan (EURASIP Member) ◽  
SyedIsmail Shah ◽  
Lutfiye Durak-Ata
Keyword(s):  
Signal Processing ◽  
Wireless Communications ◽  
Frequency Signal ◽  
Time Frequency

scholarly journals Tidal Analysis Using Time–Frequency Signal Processing and Information Clustering

Entropy ◽  
2017 ◽  
Vol 19 (8) ◽  
pp. 390 ◽  
Author(s):  
Antonio M. Lopes ◽  
Jose Tenreiro Machado
Keyword(s):  
Signal Processing ◽  
Frequency Signal ◽  
Tidal Analysis ◽  
Time Frequency

Radio frequency signal processing with a monolithic four‐quadrant multiplier

1991 ◽  
Vol 62 (11) ◽  
pp. 2810-2815 ◽  
Author(s):  
Miroslav Kasal ◽  
Ivan Hruby ◽  
Piercarlo Mustarelli ◽  
Sergio Scotti
Keyword(s):  
Signal Processing ◽  
Radio Frequency ◽  
Frequency Signal ◽  
Radio Frequency Signal ◽  
Four Quadrant

ON SOFTWARE IMPROVEMENT OF IMAGE CHANNEL SUPPRESSION IN SDR RECEIVERS WITH ANALOG CONVERSION TO A LOW INTERMEDIATE FREQUENCY

2020 ◽  
pp. 45-52
Author(s):  
A. S. Yurkov
Keyword(s):  
Signal Processing ◽  
Direct Method ◽  
Digital Signal ◽  
Intermediate Frequency ◽  
Algebraic Equations ◽  
Recursive Filter ◽  
Linear Algebraic Equations ◽  
Reception Channel ◽  
Image Channel ◽  
Parasitic Phase

A method for digital signal processing in SDR receivers with analog conversion to a low intermediate frequency is proposed. In contrast to known systems, the proposed approach does not consider parasitic phase and amplitude distortions, but uses the direct method minimizing of the signal of the mirror reception channel. Generally speaking, this can be done simultaneously at several frequencies. It is shown that in computational terms, this is reduced to signal processing by an algorithm similar to a digital non-recursive filter, and to determine its coefficients, it is sufficient to solve a system of linear algebraic equations.

scholarly journals Multisensor Time–Frequency Signal Processing MATLAB package: An analysis tool for multichannel non-stationary data

SoftwareX ◽  
2018 ◽  
Vol 8 ◽  
pp. 53-58 ◽  
Author(s):  
Boualem Boashash ◽  
Abdeldjalil Aïssa-El-Bey ◽  
Mohammad F. Al-Sa’d
Keyword(s):  
Signal Processing ◽  
Analysis Tool ◽  
Frequency Signal ◽  
Time Frequency ◽  
Matlab Package

The Design and Realization of a Spectrum Acquisition Unit Based on the MSP430F149 MCU

2012 ◽  
Vol 246-247 ◽  
pp. 230-234
Author(s):  
Jun Jun Song ◽  
Bin Ren ◽  
Song Lei
Keyword(s):  
Satellite Communications ◽  
Intermediate Frequency ◽  
Performance Level ◽  
Spectrum Analyzer ◽  
Test Results ◽  
Communication Quality ◽  
Frequency Signal ◽  
Frequency Monitoring ◽  
Primary Means ◽  
Signal Monitoring

In the field of satellite communications, spectrum analyzer is one of the primary means of frequency monitoring, and it plays an important role in ensuring communication quality. According to the principle of the superheterodyne spectrum analyzer, the design and realization of a spectrum acquisition unit based on MSP430F149 MCU is given in this paper. Comparing the test results with those of the Agilent N9020 spectrum analyzer, the comparison shows that in the intermediate frequency signal monitoring, the spectrum analyzer designed in this paper has reached the current performance level of the mainstream spectrum analyzer.

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