直接基于灰度图象的多尺度角点检测方法

在计算机视觉领域中角点特征的提取具有相当重要的地位，因为角点包含了丰富的信息。本文提出了一种新的利用微分几何和小波变换的多尺度角点检测方法，它具有以下特点：一是无须提取边缘图象，而是直接在灰度图象上提取角点。二是由于利用了小波变换技术从多个尺度上进行角点的提取，所以它既较为有效的抑制了由于噪音等原因造成的诸多错误角点位置的出现，又能得到较为精确的有用角点位置。最后通过实验证明了本算法有效性。     

Synthesizing Energy-Efficient Embedded Systems with LOPOCOS

In this paper, we introduce the LOPOCOS (Low Power Co-synthesis) system, a prototype CAD tool for system level co-design. LOPOCOS targets the design of energy-efficient embedded systems implemented as heterogeneous distributed architectures. In particular, it is designed to solve the specific problems involved in architectures that include dynamic voltage scalable (DVS) processors. The aim of this paper is to demonstrate how LOPOCOS can support the system designer in identifying energy-efficient hardware/software implementations for the desired embedded systems. Hence, highlighting the necessary optimization steps during design space exploration for DVS enable architectures. The optimization steps carried out in LOPOCOS involve component allocation and task/communication mapping as well as scheduling and dynamic voltage scaling. LOPOCOS has the following key features, which contribute to this energy efficiency. During the voltage scaling valuable power profile information of task execution is taken into account, hence, the accuracy of the energy estimation is improved. A combined optimization for scheduling and communication mapping based on genetic algorithm, optimizes simultaneously execution order and communication mapping towards the utilization of the DVS processors and timing behaviour. Furthermore, a separation of task and communication mapping allows a more effective implementation of both task and communication mapping optimizationsteps. Extensive experiments are conducted to demonstrate the efficiency of LOPOCOS. We report up to 38% higher energy reductions compared to previous co-synthesis techniques for DVS systems. The investigations include a real-life example of an optical flow detection algorithm.     

基于小波基优化和动态比特分配的数字音频压缩编码方案

提出了一种新颖的基于自适应小波基优化选择和心理声学模型相结合的数字音频信号的透明质量编码方法，保证固定失真水平上使每帧信号的变换系数的动态分配的比特数最少，并且利用动态码本的方法来消除音频信号的统计冗余，进一步压缩比特率，对于抽样率为４４．１ｋＨｚ每样值用１６比特线性码表示的光盘单声道音乐信号可以压缩到６４ｋＢＰＳ左右。     

基于MATLAB的小波变换在图象压缩中的应用

近十几年来小波理论研究已成为应用数学的一个新方向。作为数学工具,小波被迅速应用到图像和语音分析等众多领域。该文试图基于MATLAB数学分析工具环境下从工程和实验角度出发,较为直观地探讨了小波变换在图像压缩中的应用。     

Application of Wavelet Packet De-noising in Time-Frequency Analysis of the Local Wave Method

The local wave method is a very good time-frequency method for nonstationary vibration signal analysis. But the interfering noise has a big influence on the accuracy of time-frequency analysis. The wavelet packet de-noising method can eliminate the interference of noise and improve the signal-noise-ratio. This paper uses the local wave method to decompose the de-noising signal and perform a time-frequency analysis. We can get better characteristics. Finally, an example of waveletpacket denoising and a local wave time-frequency spectrum application of diesel engine surface vibration signal is put forward.     

瞬时吸收率检测与高频噪声的剔除

在高分辨率处理过程中，由于地震数据记录中存在着一类并不被人们十分注意的，但影响却十分严重的高频噪声，使得高分辨率处理结果陷入一种“混沌”状态。为此，本文仔细分析和研究了这类噪声产生的物理机制和原因，并提出瞬时吸收率检测与高频噪声剔除的方法。     

接触传热表面粗糙度曲线的统计特征

测量了一般机械加工表面的轮廓曲线，基于小波变换提取了粗糙度曲线，分析了轮廓高度和接触峰高度的统计分布特征。研究结果表明，轮廓高度不服从严格的正态分布，但具有一定的正态性，而接触峰高度的统计特征与其评定标准有直接的关系。因此，对于接触热阻的计算模型来说，接触点数的计算应以合理选取接触峰的评定标准为前提。     

石油生产数据无线实时监测系统

石油生产数据无线实时监测系统是应用于大庆原油生产领域的综合性的大型计算机网络信息系统，具有很好经济效益和社会效益。本文介绍该系统的主要功能、结构和特点。     

钻井液波信号处理方法比较

无线随钻测量系统中的脉冲信号受各种噪声的干扰,在井口需要还原脉冲信号,实时监测井底的情况。采用傅立叶变换和小波变换2种方法对钻井液波信号进行了处理,并尝试性地采用相关系数来评判去噪效果的优劣。对巴特沃斯、切比雪夫和小波变换3种处理方法的结果进行了比较。结果表明:小波变换对这种信号的噪声抑制效果较好;对于钻井液波信号噪声的处理,小波变换明显地优于傅里叶变换;相关系数能够用来评判钻井液波信号处理结果的优劣。     

基于时频分析的地层吸收系数计算方法

时频分析方法是傅立叶变换及分析的发展,是地震信号处理的重要分析工具,其方法很多、应用广泛。重点介绍基于多种小波基的时频分析方法及S变换与广义S变换方法的时频分析方法,并应用于计算地层吸收系数,其结果优于常规的FFT方法,具有较高的分辨率。