Adaptive Wavelet Domain Audio Steganography with High Capacity and Low Error Rate

Author(s):  
Sajad Shirali-Shahreza ◽  
M. T. Manzuri-Shalmani
Author(s):  
Mazdak Zamani ◽  
Azizah Bt Abdul Manaf ◽  
Hossein Rouhani Zeidanloo ◽  
Saman Shojae Chaeikar

Symmetry ◽  
2017 ◽  
Vol 9 (6) ◽  
pp. 92 ◽  
Author(s):  
Hung-Jr. Shiu ◽  
Bor-Shing Lin ◽  
Chia-Wei Cheng ◽  
Chien-Hung Huang ◽  
Chin-Laung Lei

2010 ◽  
Vol 44-47 ◽  
pp. 3912-3916
Author(s):  
Xin Li ◽  
Yu Jiang ◽  
Jian Jun Song ◽  
Wei Li Cui

A WSN image watermarking algorithm based on multi-wavelet was proposed. When the instability of image transmission in wireless sensor networks was considered, the proposed algorithm can increase the capacity of the image watermark. In this paper, the wavelet transform coefficients were analyzed by the noise visibility function. And the bits were embedded into the coefficients which have more ability to the tolerance of the noise according to the designated threshold. We achieved the adaptive adjustment in the watermarking strength combined with the JND in the wavelet domain. The experimental results show that the improved watermarking algorithm was adapted to a grayscale image. It can improve the information capacity and the identification capability of the grayscale images greatly. In addition, the renovated algorithm was feasible in the high-capacity watermarking and the watermarking capacity was increased obviously. It provided methods and means for the high-capacity watermarking, and also provided a new way for the further research in the new watermarking technology.


2003 ◽  
Author(s):  
Hongli Shi ◽  
Yuanli Cai ◽  
Zulian Qiu

2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Wenping Ge ◽  
Haofeng Zhang ◽  
Shiqing Qian ◽  
Lili Ma ◽  
Gecheng Zhang

Sparse code multiple access (SCMA) has been proposed to obtain high capacity and support massive connections. When combined with the multiple-input multiple-output (MIMO) techniques, the spectrum efficiency of the SCMA system can be further improved. However, the detectors of the MIMO-SCMA system have high computational complexity. For the maximum likelihood (ML) detection, though it is optimal decoding algorithm for the MIMO-SCMA system, the detection complexity would grow exponentially with the number of both the antennas and users increase. In this paper, we consider a space-time block code (STBC) based MIMO-SCMA system where SCMA is used for multiuser access. Besides, we propose a low-complexity utilizing joint message passing algorithm (JMPA) detection, which narrowing the range of superimposed constellation points, called joint message passing algorithm based on sphere decoding (S-JMPA). But for the S-JMPA detector, the augment of the amount of access users and antennas leads to the degradation of decoding performance, the STBC is constructed to compensate the performance loss of the S-JMPA detector and ensure good bit error rate (BER) performance. The simulation results show that the proposed method achieves a close error rate performance to ML, JMPA, and a fast convergence rate. Moreover, compared to the ML detector, it also significantly reduces the detection complexity of the algorithms.


2017 ◽  
Vol 7 (1.5) ◽  
pp. 118
Author(s):  
B. Rajanna ◽  
P. Chandrashrkar ◽  
K. KishanRao

Demanding large bandwidth and signal robustness over a short distance, ultra wideband communication systems plays an important role. UWB systems exhibits very low spectral density, implies that the interference to narrowband systems is very small. The relay based communication has the advantages of coverage extension, range extension, increase data rates and green communication. The relay based communication with UWB frequency is used to increase the coverage area by using of relays and increasing the data rates by increasing SNR of the links using multi-hop communication. In this paper, capacity and bit error rate of relay based UWB system for indoor and outdoor channel models are analyzed. key Terms—UWB, green communication, multi-hop, capacity, bit error rate, spectral density.


2021 ◽  
pp. 108170
Author(s):  
Xishun Zhu ◽  
Zhengliang Lai ◽  
Yaru Liang ◽  
Jianping Xiong ◽  
Jianhua Wu

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