Effect of media property variations on shingled magnetic recording channel bit error rate and signal to noise ratio performance

2015 ◽  
Vol 117 (17) ◽  
pp. 17E311 ◽  
Author(s):  
Maria Yu Lin ◽  
Kim Keng Teo ◽  
Kheong Sann Chan
Keyword(s):  
Magnetic Recording ◽  
Bit Error Rate ◽  
Error Rate ◽  
Signal To Noise Ratio ◽  
Signal To Noise ◽  
Shingled Magnetic Recording ◽  
Recording Channel ◽  
Magnetic Recording Channel ◽  
Noise Ratio

ANALISIS SENSITIVITAS VIDEO MPEG-4 BERDASARKAN STRUKTUR FRAME PADA TRANSMISI DVB-T

2020 ◽  
Vol 25 (2) ◽  
pp. 86-97
Author(s):  
Sandy Suryo Prayogo ◽  
Tubagus Maulana Kusuma
Keyword(s):  
Deep Learning ◽  
Bit Error Rate ◽  
Error Rate ◽  
Signal To Noise Ratio ◽  
Similarity Index ◽  
Structural Similarity ◽  
Signal To Noise ◽  
Structural Similarity Index ◽  
Noise Ratio

DVB merupakan standar transmisi televisi digital yang paling banyak digunakan saat ini. Unsur terpenting dari suatu proses transmisi adalah kualitas gambar dari video yang diterima setelah melalui proses transimisi tersebut. Banyak faktor yang dapat mempengaruhi kualitas dari suatu gambar, salah satunya adalah struktur frame dari video. Pada tulisan ini dilakukan pengujian sensitifitas video MPEG-4 berdasarkan struktur frame pada transmisi DVB-T. Pengujian dilakukan menggunakan simulasi matlab dan simulink. Digunakan juga ffmpeg untuk menyediakan format dan pengaturan video akan disimulasikan. Variabel yang diubah dari video adalah bitrate dan juga group-of-pictures (GOP), sedangkan variabel yang diubah dari transmisi DVB-T adalah signal-to-noise-ratio (SNR) pada kanal AWGN di antara pengirim (Tx) dan penerima (Rx). Hasil yang diperoleh dari percobaan berupa kualitas rata-rata gambar pada video yang diukur menggunakan metode pengukuran structural-similarity-index (SSIM). Dilakukan juga pengukuran terhadap jumlah bit-error-rate BER pada bitstream DVB-T. Percobaan yang dilakukan dapat menunjukkan seberapa besar sensitifitas bitrate dan GOP dari video pada transmisi DVB-T dengan kesimpulan semakin besar bitrate maka akan semakin buruk nilai kualitas gambarnya, dan semakin kecil nilai GOP maka akan semakin baik nilai kualitasnya. Penilitian diharapkan dapat dikembangkan menggunakan deep learning untuk memperoleh frame struktur yang tepat di kondisi-kondisi tertentu dalam proses transmisi televisi digital.

scholarly journals BIT ERROR RATE ANALYSIS IN DIFFERENT TERRAINS FOR LTE

2019 ◽  
Vol 7 (7) ◽  
pp. 331-339
Author(s):  
Dilshad Mahjabeen ◽  
Moshiur Rahman Tarafder ◽  
T Saikat Ahmed
Keyword(s):  
Rural Area ◽  
Bit Error Rate ◽  
Error Rate ◽  
Signal To Noise Ratio ◽  
Signal To Noise ◽  
Rate Analysis ◽  
Receiving Antenna ◽  
Noise Ratio ◽  
Clear Idea

Focus of this paper is mainly evaluating the performance of Long Term Evolution (LTE) system in different terrains such as urban, suburban and rural area. The performance parameters such as, Bit Error Rate (BER) and the Data Throughput are reported in terms of Signal to Noise Ratio (SNR). The system parameters taken into consideration are signal to noise ratio (SNR), number of receiving antenna (RxAn), reference channel and duplex mode. All of the simulations were performed in MATLAB, version 2014a simulink. The results are presented in table and graph which gives clear idea of the effect of environment on signal and receiver sensitivity. Also bit-error-rate, an important parameter in case of receiving signal, is analyzed with respect to SNR values. A comparative analysis of bit-error-rate is performed between three areas for same conditions which proves that LTE signal is well suited in a rural area than that of a suburban and urban area.

A Simple way to Estimate the Signal-To-Noise Ratio and to Save Energy

2013 ◽  
Vol 724-725 ◽  
pp. 937-940
Author(s):  
Wen Zhuo Li
Keyword(s):  
Wireless Communication ◽  
Bit Error Rate ◽  
Error Rate ◽  
Law Of Large Numbers ◽  
Signal To Noise Ratio ◽  
Signal To Noise ◽  
Large Numbers ◽  
Noise Ratio ◽  
Save Energy

No one can deny the significance of wireless communication in our life, but there is always noise that can lead to some mistakes in transmitting signal. Facing the noise, we should realize that we cannot eliminate completely. Therefore, we should estimate the signal-to-noise ratio so that we can balance the Bit Error Rate and the power, which can save more energy. Here is a simple way to estimate the signal-to-noise ratio based on Bernoulli's Law of Large Numbers.

scholarly journals Performance Investigation of Channel Noise Effect in Data Transmission Medium Using Signal to Noise Ratio (SNR)

2018 ◽  
Vol 11 (2) ◽  
pp. 419
Author(s):  
Gebremedhn Wubet Wagaye
Keyword(s):  
Bit Error Rate ◽  
Error Rate ◽  
Data Transmission ◽  
Signal To Noise Ratio ◽  
Main Idea ◽  
Wireless Channel ◽  
Channel Noise ◽  
Signal To Noise ◽  
Noise Ratio ◽  
Wrong Interpretation

<p>The noise introduced in the channel obviously affects the bit error rate of the communication system and this has direct impact in the security. Here the main problem is that the receiver terminal decoding techniques can lead to wrong interpretation even if the Bit Error Rate (BER) is acceptable. So the main idea here is to introduce high values of Signal to Noise Ratio (SNR) that can improve the bit error rate which exists due to the noise introduced in the wireless channel.</p>

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