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Proceedings of the Sixth International Symposium on Signal Processing and its Applications (Cat.No.01EX467)最新文献

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A CMOE-CMA RAKE receiver structure for near-far frequency selective fading CDMA channels 一种用于近远选择性衰落CDMA信道的CMOE-CMA RAKE接收机结构
P. Yuvapoositanon, J. Chambers
A novel initialization scheme for a constant modulus algorithm RAKE (CMA-RAKE) receiver for frequency-selective fading asynchronous code-division multiple access (CDMA) channels is proposed. The solutions from the minimization of the constrained minimum output energy (CMOE) criterion are adopted as the initialization of the subsequent CMA receivers. The proposed receiver is proven to be near-far resistant at different levels of near-far problems. Simulations confirm the superiority of the receiver over the existing RAKE receivers in terms of signal-to-interference plus noise (SINR) ratio over a wide range of near-far situations.
提出了一种适用于频率选择衰落异步码分多址(CDMA)信道的恒模算法RAKE (CMA-RAKE)接收机初始化方案。采用约束最小输出能量(CMOE)准则的最小化解作为后续CMA接收机的初始化。所提出的接收机在不同级别的近距离问题上被证明具有近距离抵抗能力。仿真证实了接收机在广泛的近距离情况下的信噪比(SINR)优于现有的RAKE接收机。
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引用次数: 0
Image compression using a stochastic competitive learning algorithm (SCoLA) 基于随机竞争学习算法的图像压缩
A. Bouzerdoum
We introduce a new stochastic competitive learning algorithm (SCoLA) and apply it to vector quantization for image compression. In competitive learning, the training process involves presenting, simultaneously, an input vector to each of the competing neurons, which then compare the input vector to their own weight vectors and one of them is declared the winner based on some deterministic distortion measure. Here a stochastic criterion is used for selecting the winning neuron, whose weights are then updated to become more like the input vector. The performance of the new algorithm is compared to that of frequency-sensitive competitive learning (FSCL); it was found that SCoLA achieves higher peak signal-to-noise ratios (PSNR) than FSCL.
提出了一种新的随机竞争学习算法(SCoLA),并将其应用于图像压缩的矢量量化。在竞争学习中,训练过程包括同时向每个竞争神经元提供一个输入向量,然后将输入向量与它们自己的权重向量进行比较,并根据一些确定性失真度量宣布其中一个为获胜者。这里使用随机标准来选择获胜的神经元,然后将其权重更新为更像输入向量。将新算法的性能与频率敏感竞争学习(FSCL)进行了比较;结果表明,与FSCL相比,SCoLA具有更高的峰值信噪比。
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引用次数: 1
Optimal design of variable fractional-delay digital filters 可变分数延迟数字滤波器的优化设计
T. Deng
This paper presents a closed-form solution for obtaining the optimal coefficients of variable FIR filters with continuously adjustable fractional-delay (FD) response. The design is formulated as a weighted-least-squares (WLS) approximation problem without discretizing the frequency and fractional-delay parameters. Compared with the existing WLS method, the discretization-free one can yield a closed-form optimal solution with considerably reduced computational complexity.
本文提出了一种求连续可调分数延迟(FD)响应的可变FIR滤波器最优系数的封闭解。该设计是一个加权最小二乘(WLS)近似问题,没有离散频率和分数延迟参数。与现有的WLS方法相比,无离散化的WLS方法可以得到封闭形式的最优解,大大降低了计算复杂度。
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引用次数: 0
Compensation of saturation effects in current transformers using neural networks 电流互感器饱和效应的神经网络补偿
B. Leprettre, P. Bastard
Magnetic current transformers (CTs) are currently used in electrical devices in order to measure currents. The accuracy of CTs can severely decrease in case of saturation of the magnetic core, which can severely distort the current observed at the secondary coil of the CT. If the current in the primary coil has to be evaluated, to trip a relay for instance, saturation effects must be taken into account. A method using neural networks (NNs) is proposed. First, a large set of current signals encountered in low voltage installations has been built. Saturation has been added with a previously validated CT model. Then, a NN has been trained to invert the saturation effects and to reconstruct the primary current from the distorted one.
磁性电流互感器(CTs)目前用于电气设备中以测量电流。在磁芯饱和的情况下,CT的精度会严重降低,这会严重扭曲CT次级线圈上观察到的电流。如果必须评估初级线圈中的电流,例如跳闸继电器,则必须考虑饱和效应。提出了一种基于神经网络的方法。首先,建立了低压装置中遇到的大量电流信号。饱和度已添加到先前验证的CT模型中。然后,训练一个神经网络来反转饱和效应,并从失真电流中重建初级电流。
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引用次数: 5
Importance coding of surveillance imagery for interpretability using quadtree dynamic importance maps 利用四叉树动态重要性图对监控图像的可解释性进行重要性编码
A. Nguyen, V. Chandran, S. Sridharan, R. Prandolini
This paper presents an importance coding technique to improve the interpretability versus bit-rate performance for an image compression system. The term interpretability is a subjective image quality measure of the content recognition performance by trained image analysts. A quadtree dynamics importance map is used to aid the prioritisation of the image encoded bit-stream according to its importance for interpretability. The importance map is generated using several bottom-up, context-free features for the identification of regions-of-interest in surveillance imagery that correlate well with visual attention processes in humans. Traditional PSNR progressive coders rely on descending wavelet coefficient magnitudes to prioritise the encoded bit-stream. The importance coder discussed in the paper is designed such that the JPEG2000 standard can implement the importance prioritisation schema (without the need to send the importance map information). Subjective evaluations indicate that the proposed schema is better than traditional PSNR progressive coders for the purpose of very low bitrate content recognition.
本文提出了一种重要的编码技术,以提高图像压缩系统的可解释性和比特率性能。术语可解释性是经过训练的图像分析人员对内容识别性能的主观图像质量度量。使用四叉树动态重要性映射来根据可解释性的重要性对图像编码的比特流进行优先级排序。重要性图是使用几个自下而上的、与上下文无关的特征生成的,用于识别与人类视觉注意过程密切相关的监视图像中的感兴趣区域。传统的PSNR累进编码器依靠小波系数降阶来对编码的比特流进行优先级排序。本文所讨论的重要性编码器设计使JPEG2000标准能够实现重要性优先级模式(不需要发送重要性图信息)。主观评价表明,该模式在非常低比特率的内容识别方面优于传统的PSNR渐进式编码器。
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引用次数: 2
Fast rational approximation algorithms of signal and noise subspaces 信号和噪声子空间的快速有理逼近算法
M. Hasan
Fast methods for approximating the dominant and subdominant subspaces have been developed. These methods offer a computational benefit in that subspaces are computed without the costly eigendecomposition or singular value decomposition. More generally we provided a way of splitting an L-dimensional space into several complementary invariant subspaces of the sample covariance matrix, without actually computing any eigenvalues. Frequency estimators such as MUSIC-, minimum-norm-, and ESPRIT-type are then derived using these approximated subspaces. The computation of obtaining these approximate subspaces and estimators are shown to be less than the standard techniques. Through several examples it is demonstrated that these methods have a performance comparable to that of MUSIC yet will require fewer computation to obtain the signal subspace projection.
提出了一种快速逼近显性子空间和次显性子空间的方法。这些方法在计算子空间时不需要昂贵的特征分解或奇异值分解。更一般地说,我们提供了一种将l维空间分割成样本协方差矩阵的几个互补不变子空间的方法,而不需要实际计算任何特征值。然后使用这些近似子空间推导出诸如MUSIC-、最小范数-和esprit类型的频率估计器。得到这些近似子空间和估计量的计算比标准方法要少。通过几个实例表明,这些方法具有与MUSIC相当的性能,但需要更少的计算来获得信号子空间投影。
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引用次数: 2
Applying time-frequency methods to pressure and structure-borne sound for combustion diagnosis 将时频法应用于压力声和结构声的燃烧诊断
S. Carstens-Behrens, J. Böhme
This work presents the application of three different time-frequency methods to pressure and structure-borne sound signals to improve combustion diagnosis of internal combustion engines. Increasing engine efficiency and reduction of pollutants imply enhanced knowledge of the combustion process. The methods presented deepen the understanding of the measured signal and stimulate improved algorithms for knock detection.
本文介绍了三种不同时频方法对压力和结构声信号的应用,以提高内燃机的燃烧诊断。提高发动机效率和减少污染物意味着提高燃烧过程的知识。所提出的方法加深了对测量信号的理解,并促进了爆震检测算法的改进。
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引用次数: 19
Wideband audio compression using a combined wavelet and WLPC representation 使用组合小波和WLPC表示的宽带音频压缩
Daryl Ning, Mohamed Deriche
In this paper, we present results for a combined wavelet warped linear prediction (WLP) audio coder. In contrast to conventional LP, WLP allows for the control of frequency resolution to closely match the response of the human auditory system. The coder first uses WLP analysis on each frame of audio, and then applies a discrete wavelet transform (DWT) to the residual signal (prediction error). A psychoacoustic model is used in parallel to obtain a global masking threshold used in bit allocation. Bits are dynamically allocated to the DWT coefficients in an attempt to minimise the perceptually significant quantisation error. For monophonic signals sampled at 44.1 kHz, the coder achieves near transparent quality for a variety of speech and music signals at an average bit-rate of 64 kb/s. The power of the proposed coder resides in its easy scalability to lower bit rates.
本文给出了一种组合小波扭曲线性预测(WLP)音频编码器的结果。与传统的LP相比,WLP允许控制频率分辨率,以密切匹配人类听觉系统的反应。编码器首先对音频的每一帧使用WLP分析,然后对残差信号(预测误差)应用离散小波变换(DWT)。并行使用心理声学模型来获得用于位分配的全局掩蔽阈值。位动态分配给DWT系数,以尽量减少感知上显著的量化误差。对于以44.1 kHz采样的单声道信号,编码器以64 kb/s的平均比特率实现了各种语音和音乐信号的近透明质量。该编码器的强大之处在于其易于扩展以降低比特率。
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引用次数: 1
Multiplierless implementation of recursive digital filters using a class of low sensitivity structures 使用一类低灵敏度结构的递归数字滤波器的无乘法器实现
M. Bhattacharya, J. Astola, T. Saramäki
One of the method of reducing coefficient sensitivity is that of coefficient translation. The structure is altered in such a way that the sensitivity with respect to the modified coefficients is reduced to a great extent compared to that with respect to the original coefficients. In low sensitivity structures the modified coefficients can be realized with multipliers of shorter wordlength i.e., in fewer number bits. When these are implemented in minimum numbers of signed powers of two (MNSPT) form, we have a multiplierless implementation These implementations are not associated with increase in the order of the filter that involves more number of shift registers, data paths, control circuits, etc., and hence, an increase in complexity i.e. indirect overheads.
降低系数敏感性的方法之一是系数平移法。结构以这样一种方式改变,使得相对于修改系数的灵敏度与相对于原始系数的灵敏度相比在很大程度上降低。在低灵敏度结构中,修改系数可以用更短的字长乘法器来实现,即在更少的位数上。当这些以最小2的有符号幂(MNSPT)形式实现时,我们有一个无乘法器实现。这些实现与涉及更多移位寄存器,数据路径,控制电路等的滤波器顺序的增加无关,因此,复杂性增加,即间接开销。
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引用次数: 0
Velocity estimation in cellular systems based on the time-frequency characteristics of the received signal 基于接收信号时频特性的蜂窝系统速度估计
G. Azemi, B. Senadji, B. Boashash
Estimating the velocity of the mobile units is of great importance in hierarchical cellular systems since the satisfactory handover of mobiles to macro or micro-cells depends on its present velocity. In this contribution, the first moment of the instantaneous frequency (IF) of the received signal, is proposed as a new velocity estimator. The performance of this estimator in the presence of Rayleigh fading, log-normal shadowing, and additive white Gaussian noise is compared with the conventional zero crossing rate (ZCR) estimator. Simulations show that the performance of the proposed estimator is superior to that of the ZCR velocity estimator, in the presence of additive noise. Also it has been shown that the IF velocity estimator is robust in the presence of shadowing.
估计移动单元的速度在分层元胞系统中是非常重要的,因为移动单元与宏细胞或微细胞的满意切换取决于其当前的速度。在此贡献中,提出了接收信号的瞬时频率(IF)的一阶矩作为新的速度估计量。在存在瑞利衰落、对数正态阴影和加性高斯白噪声的情况下,与传统的零交叉率(ZCR)估计器进行了性能比较。仿真结果表明,在加性噪声存在的情况下,该估计器的性能优于ZCR速度估计器。同时也证明了中频速度估计在阴影存在下是鲁棒的。
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引用次数: 7
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Proceedings of the Sixth International Symposium on Signal Processing and its Applications (Cat.No.01EX467)
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