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Proceedings of ICASSP '94. IEEE International Conference on Acoustics, Speech and Signal Processing最新文献

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Maximum Ch-entropy estimation of p-adic stationary process and its fast algorithm p进平稳过程的最大ch熵估计及其快速算法
Zhongkan Liu, Mingyong Zhou, H. Hama
In this paper the power spectral density of p-adic stationary stochastic process under the sense of Chrestenson transform (Ch-transform) and its maximum entropy estimator are studied. The relationship formula between the power spectral density and the entropy rate is first derived. The the normal equations of maximum Ch-entropy spectral estimator in closed expression are obtained. When the number of autocorrelation data is p/sup m/, where p/spl ges/2 and m/spl ges/1 are integers, the maximum Ch-entropy estimator can be directly expressed by the known finite autocorrelation data. These results are quite different from that of Fourier's. Numerical examples are provided to show the effectiveness of the maximum Ch-entropy estimator. General Hadmard ordering is introduced for the Kronecker formulation of the Ch-transform matrix. Such ordering can lead to a fast algorithm proposed in this paper which can reduce the computation complexity front O(p/sup 2m/) to O(mp/sup m/) when the number of autocorrelation data is p/sup m/ (m>1, p/spl ges/2).<>
本文研究了在christensen变换(Ch-transform)意义下p进平稳随机过程的功率谱密度及其最大熵估计量。首先推导了功率谱密度与熵率之间的关系式。得到了最大ch -熵谱估计的闭表达式正态方程。当自相关数据个数为p/sup m/,其中p/spl ges/2和m/spl ges/1为整数时,最大ch -熵估计量可直接表示为已知的有限自相关数据。这些结果与傅里叶的结果有很大的不同。数值算例表明了最大ch -熵估计器的有效性。介绍了ch变换矩阵的Kronecker公式的一般Hadmard排序。基于这种排序,本文提出了一种快速算法,当自相关数据个数为p/sup / (m>1, p/sup /2)时,将计算复杂度从0 (p/sup 2m/)降低到0 (mp/sup m/)。
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引用次数: 1
An efficient neural prediction for vector quantization 一种有效的矢量量化神经预测方法
R. Fioravanti, S. Fioravanti, D. Giusto
A novel predictive coding scheme for VQ is presented, called dynamic codebook reordering VQ (DCRVQ). Residual correlations between neighboring codevectors are exploited by a nonlinear prediction, that is a neural one. As a matter of fact, on the basis of the previously decoded codevectors, a multilayer neural network makes a prediction, and this result is used to reorganize the codebook in a dynamic way. This allows for efficient Huffman compression of codevector addresses after reordering.<>
提出了一种新的VQ预测编码方案——动态码本重排序VQ (DCRVQ)。通过非线性预测,即神经预测,利用相邻协矢量之间的残差相关性。实际上,多层神经网络在先前解码的编向量的基础上进行预测,并利用该预测结果对码本进行动态重组。这允许在重新排序后对编分器地址进行有效的霍夫曼压缩。
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引用次数: 1
New sets of constraints for maximally flat optimum broadband antenna arrays 最优宽带天线阵列的新约束集
I. Thng, A. Cantoni, Y. Leung
A method frequently employed to optimise the performance of a broadband antenna array processor is to find the set of processor weights which minimises its mean output power subject to linear constraints on the processor weights. These linear constraints determine the frequency response of the array processor in the look direction. To obtain robustness against mismatch between the array look direction and the actual signal direction, derivative constraints can be further imposed. However, derivative constraints corresponding to necessary and sufficient (NS) conditions for a maximally flat spatial power response in the look direction are in general quadratic. This limits their value for real-time processing. This paper presents several simpler derivative constraints. These constraints correspond only to sufficient conditions for maximal flatness but perform almost as well as the NS constraints and are better suited to real-time implementation.<>
优化宽带天线阵列处理器性能的一种常用方法是在处理器权重的线性约束下,找到使其平均输出功率最小的处理器权重集。这些线性约束决定了阵列处理器在外观方向上的频率响应。为了获得对阵列外观方向与实际信号方向不匹配的鲁棒性,可以进一步施加导数约束。然而,在注视方向上达到最大平坦空间功率响应的充分必要条件所对应的导数约束一般为二次型。这限制了它们在实时处理中的价值。本文提出了几种较简单的导数约束。这些约束只对应于最大平面度的充分条件,但性能几乎与NS约束一样好,更适合实时实现。
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引用次数: 17
Time-frequency distribution series 时频分布序列
S. Qian, Dapang Chen
Using the orthogonal-like Gabor (1946) expansion, we decompose the Wigner-Ville (1932, 1948) distribution as a linear combination of localized and oscillated 2D Gaussian functions. Based on the degree of oscillation, we further group those 2D Gaussian functions into time-frequency functions P/sub d/(t,/spl omega/) and thereby obtain the so-called time-frequency distribution series (TFDS). The TFDS/sub D/ consists of up to Dth order P/sub d/(t,/spl omega/). Since the influence of P/sub d/(t,/spl omega/) on those useful properties is inversely proportional to d, by adjusting the order D of the TFDS one could easily balance the cross-term interference and the useful properties.<>
使用类似正交的Gabor(1946)展开,我们将Wigner-Ville(1932, 1948)分布分解为局部和振荡二维高斯函数的线性组合。根据振荡程度,我们进一步将二维高斯函数分组为时频函数P/sub d/(t,/spl ω /),从而得到所谓的时频分布序列(TFDS)。TFDS/sub D/由高达D阶的P/sub D/ (t,/spl /)组成。由于P/sub d/(t,/spl ω /)对这些有用特性的影响与d成反比,因此通过调整TFDS的d阶,可以很容易地平衡交叉项干扰和有用特性。
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引用次数: 13
Transient sonar signal classification using hidden Markov model and neural net 基于隐马尔可夫模型和神经网络的瞬态声纳信号分类
A. Kundu, George C. Chen, C. E. Persons
In ocean surveillance, a number of different types of transient signals are observed. These sonar signals are waveforms in one dimension (1-D), and often display an evolutionary pattern over the time scale. The hidden Markov model (HMM) is well-suited to classification of such 1-D signals. Following this intuition, the application of HMM to sonar transient classification is proposed and discussed in this paper. Toward this goal, three different feature vectors based on autoregressive (AR) model, Fourier power spectrum, and wavelet transforms are considered in our work. The neural net (NN) classifier has been successfully used for sonar transient classification. The same set of features as mentioned above is then used with an NN classifier. Some concrete experimental results using "DARPA standard data set I" with HMM and NN classification schemes are presented. Finally, a combined NN/HMM classifier is proposed, and its performance is evaluated with respect to individual classifiers.<>
在海洋监测中,可以观测到许多不同类型的瞬态信号。这些声纳信号是一维(1-D)的波形,并且经常在时间尺度上显示出进化模式。隐马尔可夫模型(HMM)非常适合于这种一维信号的分类。基于这种直觉,本文提出并讨论了HMM在声纳瞬态分类中的应用。为了实现这一目标,我们在工作中考虑了基于自回归(AR)模型、傅立叶功率谱和小波变换的三种不同特征向量。神经网络分类器已成功用于声纳瞬态分类。然后将上面提到的相同的特征集与NN分类器一起使用。在“DARPA标准数据集I”上采用HMM和NN分类方案,给出了一些具体的实验结果。最后,提出了一种神经网络/HMM组合分类器,并对其性能进行了相对于单个分类器的评价。
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引用次数: 55
A low power subband video decoder architecture 一种低功耗子带视频解码器结构
B. Gordon, T. Meng
The paper describes a VLSI architecture designed to reconstruct a subband-encoded video stream. This architecture differs from previous designs in its low power operation. The chip operates at a maximum 20 MHz with a 1.5 V supply and can process up to 10 M color (YUV) pixels/sec while dissipating only 16 mW. The low power consumption is achieved through efficient algorithm-to-hardware mapping, a low-complexity subband filter, minimal memory accesses, a reduced supply voltage, and elimination of external memory support. A single chip will support color images up to 352 pixels wide, while multiple chip configurations can achieve any desired display resolution.<>
本文介绍了一种用于重建子带编码视频流的VLSI结构。这种架构不同于以前的低功耗设计。该芯片在1.5 V电源下的最大工作频率为20 MHz,可以处理高达10 M颜色(YUV)像素/秒,而功耗仅为16 mW。低功耗是通过高效的算法到硬件映射、低复杂度的子带滤波器、最小的存储器访问、降低的电源电压和消除外部存储器支持来实现的。单个芯片将支持高达352像素宽的彩色图像,而多个芯片配置可以实现任何所需的显示分辨率。
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引用次数: 20
Concurrency characteristics in DSP programs DSP程序中的并发特性
L. Guerra, M. Potkonjak, J. Rabaey
The exploration of concurrency has emerged as a dominant research problem in the VLSI DSP literature. A great variety of forms of concurrency exploration have been proposed, analyzed and used on a number of hardware platforms. The belief that the DSP domain is amenable to concurrency exploration has been gaining popularity; however, no systematic study has been conducted to confirm or dispel this claim. This paper presents a global view of the concurrency problem, presenting comprehensive statistics on concurrency properties in commonly used DSP programs. Particular emphasis is placed on the potential cost effectiveness of concurrency exploitation.<>
并发性的探索已经成为VLSI DSP文献中一个主要的研究问题。各种形式的并发探索已经被提出、分析并在许多硬件平台上使用。认为DSP领域适合并发探索的观点已经越来越流行;然而,没有系统的研究来证实或驳斥这一说法。本文介绍了并发问题的全局视图,对常用DSP程序的并发特性进行了全面统计。特别强调的是并发开发的潜在成本效益。
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引用次数: 6
Multi-band residual coding of CELP codecs at 8 kb/s 8 kb/s的CELP编解码器多频带剩余编码
P. Mermelstein, Ping Zheng, M. Saikaly
We explore the benefits for CELP coding of speech at 8 kb/s of dividing the residual signal after pitch filtering into three band-passed components and using separate codebooks to represent each component. Minimization of the perceptually weighted error between the input signal and the reconstructed signal is divided into several band-limited minimization operations where the lowest frequency match dominates the quality of the result. For equal total numbers of bits allocated to code the residual in a 5 ms frame, spectral division of the coding operation results on the average in a better match than temporal division into subframes. These results permit the design of a high quality speech codec at 8 kb/s with modest delay and low complexity.<>
我们探讨了将基音滤波后的剩余信号分成三个带通分量并使用单独的码本来表示每个分量的好处,以8 kb/s的速度对语音进行CELP编码。将输入信号和重构信号之间的感知加权误差最小化分为几个带限最小化操作,其中最低频率匹配主导结果质量。对于在5ms帧中分配给残差编码的总比特数相等,编码操作的频谱划分结果平均比分子帧的时间划分结果更好。这些结果允许设计一个高质量的8 kb/s语音编解码器,具有适度的延迟和低复杂性。
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引用次数: 3
Optimal VLSI architecture for distributed arithmetic-based algorithms 基于分布式算法的VLSI最优架构
Kamal Nourji, N. Demassieux
Digital signal processing algorithms often use inner product as basic computation. In this paper we propose a new design methodology for synthesizing an optimal VLSI architecture implementing a real-time Distributed Arithmetic-based inner product. Our design methodology considers the design space as bidimensional one. In the first dimension we consider all possible input data parallelisations: from bit-serial to bit-parallel. In the second dimension we consider all possible lookup-table partitioning. Using a new ROM generic model, expressions are developed for area and maximum input data bandwidth, which allows to have an explicit formulation of the area-bandwidth tradeoff. Finally, for a given set of application constraints (inner product size and data bandwidth), we exhibit the optimal architectural parameters that provide the smallest chip area.<>
数字信号处理算法通常使用内积作为基本计算。在本文中,我们提出了一种新的设计方法,用于综合实现实时分布式算术内积的最佳VLSI架构。我们的设计方法将设计空间视为二维空间。在第一个维度中,我们考虑所有可能的输入数据并行:从位串行到位并行。在第二个维度中,我们考虑所有可能的查找表分区。使用新的ROM通用模型,开发了面积和最大输入数据带宽的表达式,这允许有一个显式的面积-带宽权衡公式。最后,对于给定的一组应用约束(内部产品尺寸和数据带宽),我们展示了提供最小芯片面积的最佳架构参数。
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引用次数: 12
Source number estimator using Gerschgorin disks 使用Gerschgorin磁盘的源数估计器
Hsien-Tsai Wu, J. Yang, Fwu-Kuen Chen
The eigenstructure based estimator designed to be used with the aid of the Gerschgorin's disk theorem is proposed for source number detection. By introducing the unitary transformation of the covariance matrix, the Gerschgorin radii of the eigenstructure are exploited to determine the number of sources while overcoming a lack of data samples, noise model and data independency information. Unlike conventional methods such as Akaike information criterion (AIC) and minimum descriptive length criterion (MDL), which are based on the cluster analysis of the eigenvalues used in conjunction with statistical formulations, the proposed method called the Gerschgorin disk estimator (GDE), provide more accurate detection of the source number in situations of both simulated and measured experimental data.<>
提出了一种基于特征结构的估计器,并利用Gerschgorin圆盘定理进行源数检测。通过引入协方差矩阵的酉变换,利用特征结构的Gerschgorin半径来确定源的数量,同时克服了缺乏数据样本、噪声模型和数据独立性信息的问题。与Akaike信息准则(AIC)和最小描述长度准则(MDL)等基于特征值的聚类分析与统计公式相结合的传统方法不同,该方法称为Gerschgorin磁盘估计器(GDE),在模拟和测量实验数据的情况下都能更准确地检测源数
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引用次数: 58
期刊
Proceedings of ICASSP '94. IEEE International Conference on Acoustics, Speech and Signal Processing
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