一种基于双通道自适应噪声对消的语音增强法

在自适应噪声对消(ANC)中,本文根据主辅通道噪声间的相关性,提出了一种自适应滤波语音增强算法。在低信噪比(-10～0dB)白噪声条件下,文中研究了辅助通道采集的噪声有无"串音"两种情况下的语音增强效果。研究表明:在无串音和有串音两种条件下,本文算法增强语音的信噪比分别比NLMS算法提高约14dB和5dB,PESQ_MOS得分分别比NLMS算法提高约1.13和0.83,同时增强语音的听觉质量得到了极大地改善。     

Alternative approach to low‐noise amplifier design for ultra‐wideband applications

Conventional ultra‐wideband low‐noise amplifiers require a flat gain over the entire 3.1–10.6 GHz bandwidth, which severely restraints the trade‐off spaces in low noise amplifier design. This article proposes a relaxed gain‐flatness requirement based on system level investigations. Considering the wireless transceiver front‐end with antenna and propagation channel, the unflat‐gain low‐noise amplifier with an incremental gain characteristic does not degrade the performance of overall system. As an alternative to its flat‐gain counterpart, the proposed unflat gain requirement tolerates gain ripple as large as 10 dB, which greatly eases the design challenges to low‐noise amplifier for ultra‐wideband wireless receivers. Two low‐noise amplifier examples are given to demonstrate the feasibility and design flexibility under the proposed gain‐flatness requirement. © 2007 Wiley Periodicals, Inc. Int J RF and Microwave CAE, 2007.     

An extremely fast adaptive high-performance filter to remove salt and pepper noise using overlapping medians in images

A new fast adaptive high-performance filter (FAHPF) has been proposed to remove salt-and-pepper noise in images. ‘Maximize the speed without compromising denoising performance’ is the fundamental intention to build up the FAHPF algorithm. Among diverse phases of filtering employed in the FAHPF, overlapping medians (OM) is our newly proposed frame-based filtering concept which is the basis for speed of FAHPF and running averages embedded with OM is an idea behind excellent denoising performance of FAHPF at the same pace. Simulation experiments have been conducted and denoising results of FAHPF has been investigated against very recently developed filtering methods. It is proved that the FAHPF excellently outperforms many of state-of-the-art filters considered for comparison, in terms of peak signal to noise ratio, structural similarity index, and visual representation and requires the extremely shortest execution time among all, which could make it as a real time filter.     

Occupational noise exposure of fishermen aboard small and medium-scale fishing vessels

There is little information about occupational noise exposure of fishermen working on small and medium-scale fishing vessels, mainly because of the difficulty of conducting noise exposure surveillance in such occupations. The objective of the current study was to evaluate the exposure of this group of workers to occupational noise using a combined measurement and questionnaire approach. Sound pressure levels were measured aboard 24 fishing vessels at all working or resting locations and during speeding and slow-down moods of the engine. The average existence times of the crew at such locations were collected using a questionnaire. The average daily noise exposure levels (L_EP,d,8h) for engine mechanics in all vessel types (91.2–94.3 dBA) and the tiller operators in gill/trammel and purse seining vessels (84.7–88.4 dBA) exceeded the NIOSH recommended exposure limit of 85 dBA. Other crew members were found to be exposed, on average, to daily noise exposure levels slightly lower than the recommended one (81.6–83.5 dBA). However, direct personal dosimetry for five crew members revealed daily noise exposure levels 1.1–5.1 dBA higher than the calculated averages, which might be attributed, partly, to sources of uncertainty. The results of this study suggest that small and medium-scale vessels fishermen are at high risk of NIHL, calling for development and enforcement of suitable interventions for hearing protection of the workforce of this sector.     

信息论准则的频谱感知技术

频谱感知是认知无线电通信的前提,针对传统单天线能量检测算法易受噪声不确定性影响的问题,结合MIMO的空间处理能力,提出一种基于信息论准则的频谱感知算法。首先通过实时侦听信道,获得观测信号的相关矩阵;然后利用AIC准则检测周围环境中是否有主用户存在。该算法无需预先得知噪声的功率信息、无需设置判决门限。仿真结果表明,相比于能量检测算法,该算法有效提高了系统的检测概率,对噪声不确定性具有鲁棒性。     

带有新型偏置电路的X波段低噪声放大器设计

针对温度等因素会改变三极管的静态工作点进而影响放大器性能的问题,采用一种直流偏置反馈控制技术,设计了一个X波段的低噪声放大器。同时,采用等资用功率增益圆和等噪声系数圆相结合的方法,以加快LNA的设计过程。对成品的实际测试和调试表明,此放大器达到了预定的技术要求,性能良好,其工作频率范围为10.2 GHz～10.8 GHz,噪声系数小于2 dB,增益达到34.5 dB,S参数S11优于-10 dB。     

基于三次定位过程的车牌精确定位算法设计

为了实现对车牌区域的精确定位,提出了一种基于三次定位过程的车牌定位算法,综合改进了数学形态学和纹理分析等方法.对自然环境下摄像头采集的车辆图像进行预处理后,使用像素统计法对车牌进行粗略定位,使用纹理分析法去除车牌上下边框和干扰,使用阈值法去除车牌左右边框和干扰,得到精确的车牌区域.另外还对图像的预处理进行简化,保证实时性要求.实验结果表明,改进后的算法能够对车牌进行实时、精确定位,满足了系统的要求.     

Observer-based H∞ fuzzy control for discrete-time Takagi–Sugeno fuzzy mixed delay systems with random packet losses and multiplicative noises

This paper investigates the observer-based H_∞ fuzzy control problem for a class of discrete-time fuzzy mixed delay systems with random communication packet losses and multiplicative noises, where the mixed delays comprise both discrete time-varying and distributed delays. The random packet losses are described by a Bernoulli distributed white sequence that obeys a conditional probability distribution, and the multiplicative disturbances are in the form of a scalar Gaussian white noise with unit variance. In the presence of mixed delays, random packet losses and multiplicative noises, sufficient conditions for the existence of an observer-based fuzzy feedback controller are derived, such that the closed-loop control system is asymptotically mean-square stable and preserves a guaranteed H_∞ performance. Then a linear matrix inequality approach for designing such an observer-based H_∞ fuzzy controller is presented. Finally, a numerical example is provided to illustrate the effectiveness of the developed theoretical results.     

Model-free control

‘Model-free control’and the corresponding ‘intelligent’ PID controllers (iPIDs), which already had many successful concrete applications, are presented here for the first time in an unified manner, where the new advances are taken into account. The basics of model-free control is now employing some old functional analysis and some elementary differential algebra. The estimation techniques become quite straightforward via a recent online parameter identification approach. The importance of iPIs and especially of iPs is deduced from the presence of friction. The strange industrial ubiquity of classic PIDs and the great difficulty for tuning them in complex situations is deduced, via an elementary sampling, from their connections with iPIDs. Several numerical simulations are presented which include some infinite-dimensional systems. They demonstrate not only the power of our intelligent controllers but also the great simplicity for tuning them.     

Compensatability and optimal compensation of systems with white parameters in the delta domain

Using the delta operator, the strengthened discrete-time optimal projection equations for optimal reduced-order compensation of systems with white stochastic parameters are formulated in the delta domain. The delta domain unifies discrete time and continuous time. Moreover, when formulated in this domain, the efficiency and numerical conditioning of algorithms improves when the sampling rate is high. Exploiting the unification, important theoretical results, algorithms and compensatability tests concerning finite and infinite horizon optimal compensation of systems with white stochastic parameters are carried over from discrete time to continuous time. Among others, we consider the finite-horizon time-varying compensation problem for systems with white stochastic parameters and the property mean-square compensatability (ms-compensatability) that determines whether a system with white stochastic parameters can be stabilised by means of a compensator. In continuous time, both of these appear to be new. This also holds for the associated numerical algorithms and tests to verify ms-compensatability. They are illustrated with three numerical examples that reveal several interesting theoretical and numerical issues. A fourth example illustrates the improvement of both the efficiency and numerical conditioning of the algorithms. This is of vital practical importance for digital control system design when the sampling rate is high.