Tamper proofing is a crucial problem in the watermarking application. Aiming at the credibility of multimedia, we present a semi-fragile watermark based on the image permutation. Watermarking detection is performed without resorting to the host image and it is only controlled by secrete keys, thus the whole scheme does not have certain security gaps. The simulation experiments show that it can survive the JPEG compression and effectively specify the region of the image that has been modified maliciously.

A novel geometrically invariant watermarking scheme based on gravity center is presented which treating the geometrically invariant gravity centers of host image and its supplement image as reference points. Thus watermark synchronization is obtained. Simulation results show the effectiveness of our scheme to the geometrical distortion including rotation and/or scaling.

The performances of a PCTH-based communication UWB system with diversiform modulation schemes are compared on the classic AWGN channel propagation and the realistic IEEE-UWB channel model. By employing different versions of modulation at the transmitters, the performances of an optimal receiver and a Rake receiver with various combining schemes are studied in this paper. The numerical results for several compared cases illustrate the tradeoff between transmitter diversity and receiver complexity. It is shown that the actual performance of the PAM-PCTH scheme can be better in both kinds of channel propagation. We also find that the PCTH-based UWB system with the Rake receiver has better performance than the conventional proposal for overcoming the multipath propagation effects in the UWB indoor environment.

In this letter, dynamic decode-and-forward (DDF) protocol and static decode-and-forward (SDF) protocol are considered in a two-way half-duplex fading system, where two sources are equipped with multiple antennas and a relay is equipped with a single antenna. Their closed-form expressions of diversity multiplexing tradeoff (DMT) are derived, respectively. From the results, DDF always outperforms SDF in terms of DMT, achieves DMT gain over nonorthogonal amplify-and-forward (NAF) in low spectral efficiency scenarios, but is inferior to NAF in high spectral efficiency scenarios.

In this paper, an effective per-antenna successive signal-to-leakage-plus-noise-ratio (PA-SSLNR) based precoding is proposed for multi-user multiple-input multiple-output (MIMO) broadcast channel. The signal-to-leakage-plus-noise-ratio (SLNR) of per-antenna is calculated only using the unknown leakages and the known leakages are cancelled at the transmit side by Tomlinson-Harashima Precoding (THP). The proposed scheme is different from per-user SSLNR. It does not need QR decomposition. The proposed precoding scheme is further improved by ordering antennas. Simulation results show that the proposed schemes exhibit a considerable bit error rate (BER) improvement over conventional SLNR scheme.

A novel public watermarking algorithm based on chaotic properties is proposed. Thanks to good randomness and easy reproducibility of chaos, firstly the watermark is permuted by chaotic sequences, then a small number of reference points are selected randomly in the middle frequency bands of DCT domain, and the variable number disorder watermark bits are embedded into the neighborhood of each reference point according to chaotic sequences. The experimental results show the invisibility and robustness.

In this paper we present a predictor-corrector tracing curve algorithm for analysis of nonlinear circuits. In order to tracing the curves having sharp turning points efficiently, we introduce a norm Σd i/ds as the parameter to control the tracing step size. This parameter more precisely reflects the sharp degree of the turning points on a curve. In addition that, the Hermite polynomial is used for extrapolation in predictor stage, and the Brown iteration method is used to solve the system of equation in corrector stage. The numerical examples show which computational efficiency is greatly improved, so that this algorithm can be used for DC analysis of nonlinear circuits, efficiently.

In recently proposed asymmetric watermarking schemes, the public detection is less robust than the private detection. To resolve this problem, a robust asymmetric watermarking scheme using the multiple detection watermarks for public detection is proposed in this letter. In this scheme, the private watermark used for embedding is constructed by secretly selecting the partial elements of those public watermarks. It provides the same robustness for the public and the private detections, and the robustness is demonstrated in the computer simulations.

We propose a geometric mean decomposition (GMD) based vector precoding (VP) for multiple input multiple output (MIMO) systems. Minimum mean square error (MMSE) criterion is used for the joint VP design. The application of GMD method eliminates the imbalance among subchannel gains and obtains a better perturbation vector than the conventional method. We then exploit the extended channel matrix for further performance improvement. Simulation results show the proposed schemes significantly outperform the existing VP schemes.

In this letter, a Tomlinson-Harashima precoding (THP) scheme is proposed for the downlink of multiuser MIMO systems with multiple antennas at each receiver. Assuming single data stream communication for each user, joint transmitter and receiver design is done to maximize the signal to noise ratio (SNR) for each user. Furthermore, a heuristic user ordering algorithm is proposed to optimize the encoding order and improve the bit error rate (BER) performance. Simulation results have shown that the proposed approach is superior to some existing precoding schemes.

We develop a new optical switching fabric with multi-granularity grooming based on our lambda-group model, as well as algorithms that can handle dynamic environments. The proposed fabric based on a new multi-granular grooming scheme presents the distinctive approach of assigning different contiguous groups of granularities to different paths for effective treatment. Results and figures from experiments show that the particular partitioning approach not only is helpful to port reduction significantly, but also improves the SNR of signal and blocking performance for dynamic connection requests.

Investigations into the suitability of artificial neural network for the prediction of rain attenuation based on radio, meteorological and geographical data from ITU-R data bank are presented. First successful steps towards a prediction model of rain attenuation for radio communication based on adaptive learning from the measurement are made. Rain attenuation prediction with the model based on artificial neural network shows good conformity with the measurement. Moreover, a new evolutionary system, EPNet is used to evolve the artificial neural network rain attenuation model obtained both in architecture and weight, and an optimal rain attenuation model with simpler architecture and better prediction accuracy based on EPNet-evolved artificial neural network is obtained. Compared with the ITU-R model, the EPNet-evolved artificial neural network model of rain attenuation proposed in this paper improves the accuracy of rain attenuation prediction and creates a novel way to predict rain attenuation.

A spectrum sensing scheme for cognitive radio that includes coarse and fine sensing stages based on cyclostationarity is proposed in this paper. The cyclostationary feature detection (CFD) based on a single cyclic frequency (SCF) is used in the coarse sensing stage and that based on multiple cyclic frequencies (MCF) is employed in the fine sensing stage. Whether the fine sensing stage is performed or not is decided by comparing the statistic constructed in the coarse sensing stage with two thresholds. Theoretical analyses and simulation results show that the proposed sensing scheme has superior sensing performance and needs shorter sensing time.

A reduced complexity quantization error correction method for lattice reduction aided (LRA) vector precoding is proposed. For LRA vector precoding,Babai's approximation procedure can generate quantization errors leading to performance loss. Instead of making a list to correct all possible errors as is done in the existing scheme, we propose a novel method in which only a subset of all possible errors are corrected. The size of the subset is determined by the probability distribution of the number of actual errors. Thus, the computation complexity of our correction procedure is reduced with little performance loss compared with the existing correction scheme.

A watermarking system is secure as long as it satisfies Kerckhoffs principle according to the cryptography. In this letter, two novel techniques named the encrypted orthogonal transformation and its improved scheme as useful preprocessing methods are presented to apply to the watermarking field, which can enhance the security of the watermarking scheme. Compared to discrete cosine transform watermarking algorithms, this method has similar robustness but higher security.

In this letter, a novel wavelet-based semi-fragile watermarking scheme is presented which exploiting the time-frequency feature of discrete wavelet transform (DWT) and high sensitivity on initial value of chaotic map. We also analyze the robustness to mild modification and fragility to malicious attack of our scheme. Its application includes tamper detection, image verification and copyright protection of multimedia content. Simulation results show the scheme can detect and localize malicious attacks with high peak signal-to-noise ratio (PSNR), while tolerating certain degree of JPEG compression and channel additive white Gaussian noise (AWGN).

In this study, we discuss a discrete-time cellular neural network (DTCNN) and its applications including convergence property and stability. Two theorems about the convergence condition of nonreciprocal non-uniform DTCNNs are described, which cover those of reciprocal one as a special case. Thus, it can be applied to wide classes of image processings, such as associative memories, multiple visual patterns recognition and others. Our DTCNN realized by the software simulation can largely reduce the computational time compared to the continuous-time CNN.

The next generation mobile communication system is required to support wideband wireless data links when terminals are moving at very high speed. In such case, accurate channel estimation is more crucial in this case. This paper presents a downlink channel estimation scheme for Multi-Input and Multi-Output (MIMO) MC-CDMA system by introducing uncorrelated and continuous pilot symbol sequence for every transmit antenna in code domain. Compared with conventional pilot aided estimation methods which insert pilots symbols in time domain, frequency domain or both of them, the proposed method can obtain more accurate channel impulse response matrix estimation in fast fading environments with much lower computation complexity and less resources exhausted. At last, we analyzed the BER performances of the scheme under a typical fast fading environment-VB and AWGN.

In this paper, a middle-mapping learning algorithm for cellular associative memories is presented. This algorithm makes full use of the properties of the cellular neural network so that the associative memory has some advantages compared with the memory designed by the ourter product method. It can guarantee each prototype is stored at an equilibrium point. In the practical implementation, it is easy to build up the circuit because the weight matrix presenting the connection between cells is not symmetric. The synchronous updating rule makes its associative speed very fast compared to the Hopfield associative memory.

This letter investigates price-based power control for cognitive radio networks (CRNs) with interference cancellation. The base station (BS) of the primary users (PUs) will admit secondary users (SUs) to access by pricing their interference power under the interference power constraint (IPC). We give the optimal price for BS to maximize its revenue and the optimal interference cancellation order to minimize the total transmit power of SUs. Simulation results show the effectiveness of the proposed pricing scheme.