scholarly journals Recent Technologies of Digital Broadcasting System. Fundamental Technologies. Bit Rate Reduction Coding of Video Signals.

1993 ◽  
Vol 47 (4) ◽  
pp. 440-445
Author(s):  
Katsutoshi Sawada
2013 ◽  
Vol 284-287 ◽  
pp. 2908-2912
Author(s):  
Hsien Wei Tseng ◽  
Wei Chien ◽  
Shih Nan Lu ◽  
Wei Chen Lee ◽  
Yih Guang Jan ◽  
...  

In this paper, we use MATLAB software to build the physical layer transceiver of the Digital Video Broadcasting Terrestrial System (DVB-T) and Additive White Gaussian Noise (AWGN) is added into the transmitted signal during its transmission. The transmitted signal passes through modulation, demodulation, encoding and decoding processes the resulting demodulated signal is compared with the transmitted signal to calculate its Bit Error Rate (BER). Three modulation formats, QPAK, 16-QAM and 64-QAM are simulated and through various Signal to Noise (SNR) ratio to evaluate the system performance. Various encoding techniques such as Reed Solomon Code, Convolutional Code and Viterbi Decoding [1-6] have been implemented and through simulation to make detailed system performance analysis and comparison. detailed system performance simulation, analysis and comparisons.


2015 ◽  
Vol 719-720 ◽  
pp. 1177-1183
Author(s):  
Wei Zheng ◽  
Long Ye ◽  
Jing Ling Wang ◽  
Qin Zhang

Intra prediction is a key step in H.264/AVC to improve the coding performance with the idea that removing the directional redundancy among neighboring blocks. In order to cover more directional information existed in the image frames, there are usually many prediction modes can be selected in the state-of-the-art coding frameworks, but more bits are also needed to encode the prediction mode index information, then how to achieve the maximum overall bit-rate reduction became a problem. In this paper, 16 kinds of prediction modes are adopted by considering the direction information for 8x8 image blocks. Through calculating the bit-rate both for the mode index and residual image under different number of prediction modes, we obtain the most suitable prediction mode number relatively from the graphs. Experimental results show that, with the increase of prediction mode number, the residual information decreases obviously, and the sum of residual information and prediction mode index information also decreases but levels off after reaching a certain mode number, even has an obviously rising trend.


2018 ◽  
Vol 17 (1) ◽  
pp. 39
Author(s):  
Milan Dinčić ◽  
Dragan Denić ◽  
Zoran Perić

The aim of this paper is to design, analyze and compare four different systems for ADC (analog-to-digital conversion) of vibration signals. Measurement of vibration signals is of particular importance in many areas, such as predictive maintenance or structural health monitoring. Wireless systems for vibration measurements becomes very topical, due to much easier and cheaper installation compared to wired systems. Due to the lack of transmission bandwidth and energy in wireless measurement systems, the amount of digital data being sent has to be reduced; hence, we have to apply ADC systems that can achieve the required digital signal quality, reducing the bit-rate. Four ADC systems are analyzed, for possible application in wireless measurement systems: PCM (pulse code modulation) based on uniform quantization; DPCM (differential PCM) to exploit high correlation of vibration signals; two adaptive ADC systems to cope with significant variations of characteristics of vibration signals in time - APCM (adaptive PCM) with adaptation on variance and ADPCM (adaptive DPCM), with double adaptation (both on variance and correlation). These ADC models are designed and optimized specifically for vibration signals, based on the analysis of 20 vibration signals from a referent database. An experiment is done, applying designed ADC systems for digitalization of vibration signals. APCM, DPCM and ADPCM systems allow significant bit-rate reduction compared to the PCM system, but with the increasing of complexity, hence the compromise between the bit-rate reduction and complexity is needed.


2021 ◽  
Vol 2021 (1) ◽  
pp. 9-17
Author(s):  
Thibaud Biatek ◽  
Mohsen Abdoli ◽  
Mickael Raulet ◽  
Adam Wieckowski ◽  
Christian Lehman ◽  
...  

In the past few decades, the video broadcast ecosystem has gone through major changes; Originally transmitted using analog signals, it has been more and more transitioned toward digital, leveraging compression technologies and transport protocols, principally developed by MPEG. Along this way, the introduction of new video formats was achieved with standardization of new compression technologies for their better bandwidth preservation. Notably, SD with MPEG-2, HD with H.264, 4K/UHD with HEVC. In Brazil, the successive generations of digital broadcasting systems were developed by the SBTVD Forum, from TV-1.0 to TV-3.0 nowadays. The ambition of TV-3.0 is significantly higher than that of previous generations as it targets the delivery of IPbased signals for applications, such as 8K, HDR, virtual and augmented reality. To deliver such services, compressed video signals shall fit into a limited bandwidth, requiring even more advanced compression technologies. The Versatile Video Coding standard (H.266/VVC), has been finalized by the JVET committee in 2021 and is a relevant candidate to address the TV3.0 requirements. VVC is versatile by nature thanks to its dedicated tools for efficient compression of various formats, from 8K to 360°, and provides around 50% of bitrate saving compared to its predecessor HEVC. This paper presents the VVC-based compression system that has been proposed to the SBTVD call for proposals for TV-3.0. A technical description of VVC and an evaluation of its coding performance is provided. In addition, an end-to-end live transmission chain is demonstrated, supporting 4K real-time encoding and decoding with a low glass-to-glass latency.


1978 ◽  
Vol 57 (1) ◽  
pp. 61-73
Author(s):  
B. Prasada ◽  
F. W. Mounts ◽  
A. N. Netravali
Keyword(s):  
Bit Rate ◽  

2014 ◽  
Vol 35 (12) ◽  
pp. 125010
Author(s):  
Songting Li ◽  
Jiancheng Li ◽  
Xiaochen Gu ◽  
Hongyi Wang ◽  
Zhaowen Zhuang

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