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Coordinated multi-point (CoMP) in the cellular uplink appears to be an effective option to combat inter-cell interference, offering large improvements in spectral efficiency and fairness. However, one major drawback of these schemes is that they typically require a large extent of additional backhaul infrastructure compared to a non-cooperative system. A large amount of theoretical work has been published...
Optimum Power gating sleep transistor design and implementation are critical to a successful low-power design. The large magnitude of supply and ground bounces, which arise from power mode transitions in large power gating structures results in wrong functioning of the circuit. We propose a novel power gating technique showing the trade-off between wake-up time and supply noise. This technique is...
We propose a new blind spatial correlation subtraction (BSCS) method combined with conventional beam former (CBF), blind source separation (BSS) and minimum variance distortion less response (MVDR) algorithm for tow-ship interference suppression and targets' bearing estimation. In BSCS, firstly, CBF is utilized as a tow-ship noise estimator and the BSS based on frequency domain is used to extract...
Traditional cognitive radio protocols rely on identifying intervals of time when a channel is available to secondary users. To date, the detection of such opportunities has relied on single threshold based binary hypothesis testing schemes. In this paper, we describe the shortcomings of traditional single threshold transmit opportunity methods. We then propose a hysteresis based detection scheme that...
Noise limits set by regulatory agencies make solutions to common mode EMI a necessary consideration in the manufacture and use of electronic equipment. Common mode filters are generally relied upon to suppress line conducted common mode interference. These filters successfully and reliably reduce common mode noise. However, successful design of common mode filters requires foresight into the non ideal...
We propose a noise suppression algorithm using Kalman filter with colored driving source. The algorithm aims to achieve robust noise suppression with reduced computational complexity by modifying the canonical state space models in. The remarkable features of the proposed algorithm are that it can be realized by 3 multiplications and that it has the better performances compared with despite the reduction...
This paper presents a speech enhancement method based on an improved wavelet based multitaper spectrum (MTS) a-priori signal to noise (SNR) ratio estimator and an harmonics regeneration noise reduction technique. The major advantage of this method is that we can effectively suppress noise in a noisy speech even in very low SNR environments without sacrificing speech intelligibility. In this paper,...
Femtocells are expected to take a major role on increasing the data rates on cellular network access over the next years. Cognitive Radio enabled femtocells are considered to be a promising solution to enable self-optimizing femtocells to effectively manage the inter-cell interference, especially in densely deployed femto scenarios. In this paper, two key elements of cognitive femtocells are combined:...
Directional difference filter (DDF) is a nonlinear filter for reducing impulse noise. It does not employ order statistics unlike median filter and can reduce impulse noise effectively. However, it has some parameters and we need to set them appropriately based on empirical control. So far, there are few studies to evaluate the appropriateness of the parameter setting of DDF. Parameter setting problem...
The demand for longer battery life and faster speeds for communications circuits coupled with the exponential expansion of wireless communications devices is creating increasingly serious noise problems for communications circuits. Longer battery life means lower power consumption usually obtained by reduced noise margins that can only be achieved by better circuit design, but at least this under...
Noise coupling is one of the most fundamental issues in the design of highly heterogeneous, robust integrated systems. A two-step noise management methodology is proposed in this paper. In the first step, a methodology is described to efficiently analyze noise coupling in large scale circuits while maintaining sufficient accuracy. The second step consists of a methodology to significantly mitigate...
Synthetic aperture radar (SAR) images are inherently affected by multiplicative speckle noise, which is due to the coherent nature of the scattering phenomenon. This paper proposes a novel DFB-based algorithm with hidden Markov modeling, which reduces speckle in SAR images while preserving the structural features and textural information of the scene, and introduces evolutionary computation theory...
We consider communication over a modulo additive channel where the noise sequence is an arbitrary sequence unknown to the sender and receiver. We extend existing results by showing that using feedback and adapting the communication rate, one can communicate at a rate that is defined by the compression ratio of the individual noise sequence.
In this paper, a novel adaptive mathematical morphological filter is used to remove the noise, such as pulse noise, white noise, narrow bandwidth noise and so forth, in partial discharge signals. The morphological filter consists of vertically invariant morphological opening and closing operators. The shape of structuring element selected in this filter is disk. The filtering scales are varying according...
In this paper, mathematical morphology and its application on suppressing the noises in polluted insulator discharge acoustic emission signal are studied. After analyzing the typical characteristics of polluted insulator discharge signal, edge detection and Top-Hat Transform are adopted to suppress the noises in acoustic emission signal. Both of the two methods are able to remove noises in polluted...
We investigate noise reduction (NR) for speech signals for automatic speech recognition (ASR). We compare four transform based noise reduction algorithms according to their influence on ASR performance. These include frequency domain based algorithms using the discrete Fourier transform (DFT), the fast chirp transform (FCT), and the discrete wavelet transform (DWT), as well as a lattice filter based...
Speckle noise is one of the most critical disturbances that alter the quality of Synthetic Aperture Radar (SAR) coherent images. Before using SAR images in automatic target detection and recognition, the first step is to reduce the effect of speckle noise. Several adaptive and non-adaptive filters are widely used for despeckling in SAR images. In this paper, an adaptive mathematical morphological...
Traditional spatial-temporal adaptive signal processing techniques are often applied to conduct narrowband and wideband interferences. However, its mitigation performance degrades greatly due to mutual coupling. To solve this problem, this paper aims to utilize a spatial-temporal self-tuning synthesis filter capable of mutual coupling compensation and interference mitigation. The spatial filter and...
In transmission channel of wireless communication system, the major factors affect the communication quality by co-channel interference and channel fading, etc. This paper discussed how to encrypt original signals by using the amplitude-locked loop (ALL) algorithm in Gaussian noise channel environment. In this paper, we developed an amplitude-locked loop combined rotation algorithm to suppress co-channel...
Tow ship noise is a typical multi-path directional interference, and the receiving response of which on towed line array is worthy of in-depth study. Firstly, the sea trial data was analyzed to summarize the tow ship noise characteristics. Then the underwater acoustic field of tow ship noise was modeled to achieve the power distribution of the noise. Finally an important result was obtained, that...
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