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This paper presents a new method of image digital watermarking to protect its authority. The watermark is embedded in the complex wavelet domain of relative coordinates line. We improved an image watermarking algorithm, using the standard Dual Tree- Complex Wavelet Transform filters of the (13–19) taps near orthogonal filters at level 1 together with the 14-tap Q-shift filters at levels not less than...
Focusing on fault diagnosis extraction of gearbox, a novel approach is proposed according to the signal characteristics based on the adaptive morphological filter. Traditional linear filters have some limitations when extracting nonlinear features. As a nonlinear analysis method, the morphological filter has better performance on detail reservation and noise reduction, and can describe nonlinear morphological...
For applications requiring low-power low-voltage and real-time, a novel analog VLSI implementation of continuous Marr wavelet transform based on CMOS log-domain integrator is proposed. Marr mother wavelet is approximated by a parameterized class of function and with Levenbery-Marquardt nonlinear least square method, the optimum parameters of this function are obtained.The circuits of implementating...
Emerging SDR baseband platforms are usually based on multiple DLP+ILP processors with massive parallelism. Although these platforms would theoretically enable advanced SDR signal processing, existing work implemented basic systems and simple algorithms. Importantly, MIMO is not fully supported in most implementations. Implemented MIMO but with a simple linear detector. Our work explores the feasibility...
In this paper, a new method PRECGDT-CWT is advanced, using the standard DT-CWT filters of the (13-19) taps near orthogonal filters at level 1 together with the 14-tap Q-shift filters at levels not less than 2. We chose ten iterations of the conjugate gradient algorithm used with the preconditioned system search direction starting from a ward estimate. We also compare the results with alternative deconvolution...
In this paper, we will present a near-ML (maximum likelihood) MIMO (multiple input multiple output) detector explicitly optimized for parallel programmable baseband architectures, such as DSPs (digital signal processors) with VLIW (very long instruction word), SIMD (single instruction multiple data) or vector processing features. First, we propose the SSFE (selective spanning with fast enumeration)...
For image deconvolution, there are more methods, such as the CLEAN algorithm, maximum entropy deconvolution and iterative reconstruction. When the image contains sharp edges, these methods are less appropriate. Recently, we attempt to improve the performance near edges. In this paper we advance a new method PRECGDT-CWT, using the standard DT-CWT(Dual Tree- Complex Wavelet Transform) filters of the...
ML and near-ML MIMO detectors have attracted a lot of interest in recent years. However, almost all of the reported implementations are delivered in ASIC or FPGA. Our contribution is to co-optimize the near-ML MIMO detector algorithm and implementation for parallel programmable base-band architectures, such as DSPs with VLIW, SIMD or vector processing features. Although for hardware the architecture...
ML and near-ML MIMO detectors have attracted a lot of interest in recent years. However, almost all the reported implementations are delivered in ASICs or FPGAs. Our contribution is optimizing the near-ML MIMO detector for parallel programmable architectures, such as those with ILP and DLP features. In the proposed SSFE (selective spanning with fast enumeration), architecture-friendliness is explicitly...
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