The Discrete Time ASK Optimum Receivers Using Impulse-Invariant Transformation
碩士 === 淡江大學 === 資訊工程研究所 === 81 === We apply Digital Signal Processing (DSP) techniques to the design of Amplitude Shift Keying receivers for binary detections . Both coherent and noncoherent detections are considered . In additi...
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ndltd-TW-081TKU003920222016-02-10T04:08:49Z http://ndltd.ncl.edu.tw/handle/72378439152017457968 The Discrete Time ASK Optimum Receivers Using Impulse-Invariant Transformation 以脈衝非變轉換設計離散時間幅移最佳接收器 Jim-Rie Tung 董金瑞 碩士 淡江大學 資訊工程研究所 81 We apply Digital Signal Processing (DSP) techniques to the design of Amplitude Shift Keying receivers for binary detections . Both coherent and noncoherent detections are considered . In addition , matched filters are used to enhance signal-to-noise ratios ( and thus system performance ) . In designing our digital systems , the technique of Impulse- Invariant Transformation has been used for the digital matched filter . We haved used MATLAB software for system simulation . The input signal plus noise are programed into the system . due to our PC capacity limitation , the input signal used in simulation are restricted to weak sinusoids in the mV range . The input noise is assumed to be wideband Guassian generated from RAND function of MATLAB using 8K Hz sampling frequency accounting for a 4K Hz bandwidth . The system performance resulted from the simulation for our digital system is then compared with the theoretical results for analog counterparts , and the results are consistent with good accuracy . Rainfield Y. Yen 嚴雨田 1993 學位論文 ; thesis 59 zh-TW |
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碩士 === 淡江大學 === 資訊工程研究所 === 81 === We apply Digital Signal Processing (DSP) techniques to the
design of Amplitude Shift Keying receivers for binary
detections . Both coherent and noncoherent detections are
considered . In addition , matched filters are used to enhance
signal-to-noise ratios ( and thus system performance ) . In
designing our digital systems , the technique of Impulse-
Invariant Transformation has been used for the digital
matched filter . We haved used MATLAB software for system
simulation . The input signal plus noise are programed
into the system . due to our PC capacity limitation , the
input signal used in simulation are restricted to weak
sinusoids in the mV range . The input noise is assumed to be
wideband Guassian generated from RAND function of MATLAB
using 8K Hz sampling frequency accounting for a 4K Hz
bandwidth . The system performance resulted from the
simulation for our digital system is then compared with
the theoretical results for analog counterparts , and
the results are consistent with good accuracy .
|
author2 |
Rainfield Y. Yen |
author_facet |
Rainfield Y. Yen Jim-Rie Tung 董金瑞 |
author |
Jim-Rie Tung 董金瑞 |
spellingShingle |
Jim-Rie Tung 董金瑞 The Discrete Time ASK Optimum Receivers Using Impulse-Invariant Transformation |
author_sort |
Jim-Rie Tung |
title |
The Discrete Time ASK Optimum Receivers Using Impulse-Invariant Transformation |
title_short |
The Discrete Time ASK Optimum Receivers Using Impulse-Invariant Transformation |
title_full |
The Discrete Time ASK Optimum Receivers Using Impulse-Invariant Transformation |
title_fullStr |
The Discrete Time ASK Optimum Receivers Using Impulse-Invariant Transformation |
title_full_unstemmed |
The Discrete Time ASK Optimum Receivers Using Impulse-Invariant Transformation |
title_sort |
discrete time ask optimum receivers using impulse-invariant transformation |
publishDate |
1993 |
url |
http://ndltd.ncl.edu.tw/handle/72378439152017457968 |
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