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Dwi Astharini

Researcher at University of Alabama

Publications -  38
Citations -  98

Dwi Astharini is an academic researcher from University of Alabama. The author has contributed to research in topics: Orthogonal frequency-division multiplexing & Computer science. The author has an hindex of 3, co-authored 33 publications receiving 47 citations. Previous affiliations of Dwi Astharini include University of Indonesia.

Papers
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Proceedings ArticleDOI

Hybrid ZigBee and WiFi Wireless Sensor Networks for Hydroponic Monitoring

TL;DR: This proposed design combines Zigbee and WiFi technology in WSN system and shows that the RSSI value and throughput in network with the interconnected Zigbee - WiFi are decreased and the farther the distance between nodes the throughput is decreased.
Proceedings ArticleDOI

Automatic Cell Planning of LTE FDD 1800 MHz Network in Klaten, Central Java

TL;DR: This study aims to improve the efficiency and coverage of LTE networks in the city of Klaten, Central Java using the ACP optimization function with the 1800 MHz Frequency Division Duplex (FDD) modulation technique.
Proceedings ArticleDOI

Implementation of SDR for video transmission using GNU radio and USRP B200

TL;DR: This research is designing the video transmission using based on Software Defined Radio using GNU Radio and USRP and the result with the best result was performed using 512 FFT lengths.
Proceedings ArticleDOI

Discrete Cosine Transform and Pulse Amplitude Modulation for Visible Light Communication with Unequally Powered Multiple Access

TL;DR: This paper investigate implementation of unequal power for downlink multiple access for visible light communication using discrete cosine transform, pulse amplitude modulation and DC bias for uneven power allocation.
Proceedings ArticleDOI

Human voice filtering with band-stop filter design in MATLAB

TL;DR: A comparison between various stop-band specifications is presented to find the most optimal one and is used for male voice filtering and female voice filtering to see if it is suitable for both kind of voices.