Study of SEU effects in a Turbo Decoder Bit Error Rate

2009 ◽  
Author(s):  
M. Portela-Garcia ◽  
M. Garcia-Valderas ◽  
C. Lopez-Ongil ◽  
L. Entrena ◽  
B. Lestriez ◽  
...  
Keyword(s):  
Bit Error Rate ◽  
Error Rate ◽  
Turbo Decoder

scholarly journals Error Detection in Turbo Decoding using Neural Network

2019 ◽  
Vol 9 (1S) ◽  
pp. 218-221
Keyword(s):  
Neural Network ◽  
Bit Error Rate ◽  
Error Rate ◽  
Error Detection ◽  
Turbo Codes ◽  
Iterative Decoding ◽  
Turbo Decoding ◽  
Turbo Decoder ◽  
The Neural Network ◽  
Turbo Encoder

In this paper reduction of errors in turbo decoding is done using neural network. Turbo codes was one of the first thriving attempt for obtaining error correcting performance in the vicinity of the theoretical Shannon bound of –1.6 db. Parallel concatenated encoding and iterative decoding are the two techniques available for constructing turbo codes. Decrease in Eb/No necessary to get a desired bit-error rate (BER) is achieved for every iteration in turbo decoding. But the improvement in Eb/No decreases for each iteration. From the turbo encoder, the output is taken and this is added with noise, when transmitting through the channel. The noisy data is fed as an input to the neural network. The neural network is trained for getting the desired target. The desired target is the encoded data. The turbo decoder decodes the output of neural network. The neural network help to reduce the number of errors. Bit error rate of turbo decoder trained using neural network is less than the bit error rate of turbo decoder without training.

Bit-Error-Rate Degradation Due to Inter-Channel Crosstalk of Different Signal Format

2019 ◽  
Vol E102.B (5) ◽  
pp. 1000-1004
Author(s):  
Naruki SHINOHARA ◽  
Koji IGARASHI ◽  
Kyo INOUE
Keyword(s):  
Bit Error Rate ◽  
Error Rate

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 Performance analysis of carrier depletion silicon PIN phase shifter

2020 ◽  
Vol 0 (0) ◽  
Author(s):  
Jesuwanth Sugesh Ramesh Gabriel ◽  
Sivasubramanian Arunagiri
Keyword(s):  
Performance Analysis ◽  
Bit Error Rate ◽  
Error Rate ◽  
Phase Shifter ◽  
Extinction Ratio ◽  
Fibre Length ◽  
Data Rate ◽  
Operating Voltage ◽  
Data Centre ◽  
Mach Zehnder Modulator

AbstractIn this paper, we report the performance of a carrier depletion Silicon PIN phase shifter with over layer of 130 nm. It is observed that an optimum intrinsic gap of 250 nm for a device length of 5 mm at 2 V, resulted in Extinction Ratio (ER) of 23.41 dB and Bit Error Rate (BER) of 1.00 × 10−7 is obtained for 50 Gbps. The phase shifter is also designed for length 2 mm with an intrinsic gap of 100 nm at an operating voltage <4 V. The study also reveals that the proposed design for Mach-Zehnder modulator operating at a data rate of 100 Gbps for the concentration of P = 7 × 1017 cm−3 and N = 5 × 1017 cm−3 gives better BER and phase performance. The proposed design was also analysed in an intra-data centre communication setup of fibre length 15 km.

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