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This paper describes and compares some of the most energy and area efficient self-calibration techniques reported over the past years. Additional techniques used to further improve power dissipation are briefly described as well. A robust mixed-signal self-calibration technique is proposed, in which, the multi-bit first stage in the ADC is calibrated without requiring any modifications, as long as...
An algorithm for radar signal detection method based on a time-frequency representation (TFR) and Viterbi algorithm (VA) is proposed. Two TFR methods are considered, Short-time Fourier Transform (STFT) and S-method (SM). Performance and detection ability of the proposed algorithm was investigated on real radar signals of a single manuvering target with added Gaussian noise and signal-to-noise ratio...
The denoising of natural images corrupted by noise is a long established problem in signal or image processing. Noise is signal dependent and is difficult to be removed without impairing image details. Multi-resolution methods are based on image transformations that reduce image resolution and they are able to segment objects of different sizes depending on the chosen resolution. In this work the...
Bioradar echoes are often very weak and submerged in noise. The SNR of radar signal is very low. Therefore, echo signal denoising is indispensable for extracting life information. In this paper, the method of weak signal denoising based on the combination of accumulation in frequency domain and wavelet transform is proposed. First, the effectiveness of frequency domain in accumulation and wavelet...
We investigate how firing behavior of FitzHugh-Nagumo neuron depends on the intensity of Gaussian white noise. It is found that there exists an intermediate range intensity of noise where the firing behavior of neuron is induced and enhanced. To quantitatively study the firing degree of the neuron, the average number of firing spiking is introduced to measure the frequency of the firing patterns....
Wave atom transform is a new multi-resolution technique, which has the ability to adapt to arbitrary local directions of a pattern, and to sparsely represent anisotropic patterns aligned with the axes. In this paper, a de-noising technique is proposed to remove the rician noise from Magnetic Resonance Images using wave atom shrinkage. It is well known that the noise in magnetic resonance imaging has...
This paper considers a distributed power allocation scheme for sum-rate-maximization under cognitive Gaussian multiple access channels (GMACs), where primary users and secondary users may communicate under mutual interference with the Gaussian noise. Formulating the problem as a standard nonconvex quadratically constrained quadratic problem (QCQP) provides a simple distributed method to find a solution...
A four terminal Gaussian network composed of a source, a destination, an eavesdropper and a jammer relay is investigated when the jammer relay is causally given the source message. The source aims to increase the achievable secrecy rates, whereas the jammer relay aims to decrease it. To help the eavesdropper and to decrease achievable perfect secrecy rates, the jammer relay can use pure relaying and/or...
In this paper, we propose exact decision thresholds for “blindly combined energy detection (BCED)” in the case of multiple receiver collaborative spectrum sensing. As opposed to the decisions thresholds estimation based on an asymptotic analysis in the sense of large samples and/or large collaborative antennas presented in the literature, the proposed mathematical formulation can be used to calculate...
This paper proposes a method which combines Sobel edge detection operator and soft-threshold wavelet de-noising to do edge detection on images which include White Gaussian noises. In recent years, a lot of edge detection methods are proposed. The commonly used methods which combine mean de-noising and Sobel operator or median filtering and Sobel operator can not remove salt and pepper noise very well...
Adaptive median filtering method was mainly used for filtering Salt&Pepper (impulse) noise, while the method based on Curvelet transform was mainly used for filtering Gaussian noise. In the actual processing for sealed rubber ring image, which usually contains the mixture of Salt&Pepper noise and Gaussian noise. In order to filter out the mixed noisy image preferably, a new mixed filtering...
This paper presents a novel approach for embedding a binary watermark into video frames based on the temporal difference and discrete wavelet transform (DWT). We embed a binary watermark in the most activity region which is obtained by the temporal difference in the approximate band at the first level of discrete wavelet transform (DWT) decomposition of video frames. Experimental results demonstrate...
In this paper, a novel fuzzy support vector machine based image watermarking scheme is proposed.Since the application of support vector machine in the process of watermarking technology is only a simple classification of the image. However,the fuzzy support vector machines by selecting the appropriate degree of membership to reflect the different importance of the different sample points. In this...
Frequency estimation in passive location based on non-cooperative information sources plays an important role. And existing methods such as wavelet transform (WT) can't satisfy the precision of frequency estimation what is needed in location. In order to solve the puzzle, the Hilbert-Huang transform(HHT) is adopted in this article. HHT is based on the local characteristics of signals, which is an...
Extremely low frequency (ELF) atmospheric noise is non-Gaussian, consisting of the sum of a Gaussian background and narrow pulses caused by lighting strokes. Therefore, the conventional detection method for signal in Gaussian noise gets worse. In this paper, myriad filter and locally optimal detector for signal detection in the ELF atmospheric noise is derived. First, the ELF atmospheric noise is...
We consider the K-link constant coefficient multiple-input-multiple-output interference channel (MIMO IFC) where inter-link interference is treated as Gaussian noise (Noisy MIMO IFC). Starting from Interference Alignment (IA) constraints, analytical conditions that need to be satisfied in order to admit an IA solution for such a MIMO IFC are derived. For a given degrees of freedom allocation, these...
It is generally important to get a precise position information for autonomous unmanned vehicle(AUV) in order to run safely. The GPS for getting the position has been using to navigate a vehicle(or AUV). But it is difficult to precisely control the AUV due to large measuring error of the GPS. Therefore, this paper proposes a method to more precisely localize AUV using three low-cost differential global...
Optimal stochastic signaling is studied under second and fourth moment constraints for the detection of scalar-valued binary signals in additive noise channels. Sufficient conditions are obtained to specify when the use of stochastic signals instead of deterministic ones can or cannot improve the error performance of a given binary communications system. Also, statistical characterization of optimal...
In this paper, we propose an algorithm for video signature using music videos and news video for our study. The algorithm was developed based on our earlier work with an improvement (reducing the steps) on the process of generating video signature. Thus, revised process reduces the amount of processing time needed tremendously. In addition, besides color as a feature, we introduce the addition of...
The normalized least-mean-fourth (XE-NLMF) algorithm has a faster convergence rate and lower misalignment performance than the normalized least-mean-squares (NLMS) algorithm in sub-Gaussian noise environments. However, the XE-NLMF algorithm shows convergence performance degradation in highly correlated input signals. To overcome the problem, we propose an XE-NLMF algorithm with variable data-reusing...
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