The performance of many comm. systems could be improved if the transmission channel was estimated blindly, i.e. without training sequences. As an example, we investigate in this paper whether, on GSM conditions, the blind channel estimation method EVI (EIGENVECTOR APPROACH TO BLIND IDENTIFICATION) can compete with the non-blind least squares scheme based on the cross-correlation. For Gaussian s...

After extensive research work of several decades, automotive radars are finally pushing into consumer market. Commercially available radars are either for automatic cruise control or blind spot detection. Automatic cruise control systems adjust the vehicle speed according to the preceding vehicle whereas blind spot detection systems ease certain maneuvering, such as lane changing. Automotive ra...

SIPEX-G is a fast converging, robust, gradient-based PCA algorithm that has been recently proposed by the authors. Its superior performance in synthetic and real data compared with its benchmark counterparts makes it a viable alternative in applications where subspace methods are employed. Blind multiuser detection is one such area, where subspace methods, recently developed by researchers, hav...

This paper proposes a new multimode wireless receiving system based on Blind Source Separation (BSS) for Orthogonal Frequency Division Multiplexing (OFDM) signal (based on Wireless Local Area Network (WLAN)) and the Wideband Code Division Multiple Access (WCDMA) signal (based on 3G cellular system). The proposed system applied the Independent Component Analysis (ICA) algorithms (adopting Fast-I...

This paper presents a novel blind watermark detection/decoding scheme for spread spectrum (SS) based watermarking exploiting the fact that the embedded watermark and the host signal are mutually independent. The proposed detector assumes that the host signal and the watermark obey non-Gaussian distributions. The proposed scheme employs the theory of blind source separation (BSS) using independe...

In this paper, we study an enhanced subspace based approach for the mitigation of multiple access interference (MAI) in direct-sequence code-division multiple-access (DS-CDMA) systems over frequencyselective channels. Blind multiuser detection based on signal subspace estimation is of special interest in mitigating MAI in CDMA systems since it is impractical to assume perfect knowledge of param...

The analytical performance of the subspace-based blind linear MMSE multiuser detection algorithm in general multipath multi-antenna CDMA systems is investigated. In blind multiuser detection, the linear MMSE detector of a given user is estimated from the received signals, based on the knowledge of only the spreading sequence of that user. Typically, the channel of that user must be estimated fi...

This paper proposes low-complexity blind detection for orthogonal frequency division multiplexing (OFDM) systems with the differential space-time block code (DSTBC) under time-varying frequencyselective Rayleigh fading. The detector employs the maximum likelihood sequence estimation (MLSE) in cooperation with the blind linear prediction (BLP), of which prediction coefficients are determined by ...

Local binary pattern (LBP) operators, which measure the local contrast within a pixel's neighborhood, successfully applied to texture analysis, visual inspection, and image retrieval. In this paper, we recommend a semi blind and informed watermarking approach. The watermark has been built from the original image using Weber Law. The approach aims is to present a high robustness and imperceptibi...

We describe a Digital Watermarking system dedicated for embedding watermarks into 3D polygonal models. The system consists of three watermarking algorithms, one named Vertex Flood Algorithm (VFA) suitable for embedding fragile public readable watermarks with high capacity and offering a way of model authentication, one realizing affine invariant watermarks, named Affine Invariant Embedding (AIE...