基于PCNN的图像融合规则

简单介绍了多小波变换和脉冲耦合神经网络(pulse-coupled neural network, PCNN)的原理和特点.提出了在多小波分解后的高频域和低频域都使用基于PCNN的融合规则的算法.为了验证所提出的融合规则的有效性,对可见光图像和红外图像进行了融合实验,给出了评价融合质量的对比结果.实验结果表明,所提出的图像融合算法在增加图像对比度、保留图像细节信息、增加信息量方面都有明显的提高.     

Low-complexity MP3 decoder based on Broadcom embedded platform

A low-complexity MP3 decoder based on Broadcom embedded platform was proposed.C-code level optimization algorithms on inverse quantization,stereo decoding and alias reduction based on PC were proposed to further reduce the amount of memory usage and the computational complexity.Furthermore,the executable file of the optimized MP3 decoder was generated under the Linux environment,and transplanted to the set-top box based on Broadcom embedded platform.Experiment results showed that the total time for decoding was reduced on the embedded platform,and the goal of real time and fluent playing of audio files was fulfilled,which demonstrated the effectiveness of the proposed MP3 decoder.The proposed MP3 decoder could be applied in fields such as the set-top box based on Broadcom embedded platform and other portable devices.     

微波晶体管参数的测量方法

本文用信号流国和矩阵方法分析了测量激彼晶体管S参数的三种方法，分别给出了10个和8个误差参数信号流图新的显式解。为各种型号的矢量网络分析仪测量做液晶体管S参数，提供了精确测试方法。     

基于TMS320C64xx的H.264编码器优化

本文分析了H.264 软件编码器的结构,提出了影响速度的瓶颈,并给出其中两方面的优化方案: 改进的块匹配算法和1 / 4 象素参考帧插值函数结构的优化。同时,针对高性能D S P 芯片 TMS320C64xx的特点提出了一系列的优化方案,最后讨论了C 语言程序在DSP 硬件上优化设计的 一般性规则。     

直扩系统中基于匹配追踪的调频干扰识别方法研究

本文针对线性和非线性调频干扰,通过构建多时频结构特征原子词典,运用匹配追踪算法来实现具有不同时频结构特征调频干扰的分类和识别,依此提出了一个针对调频干扰的识别和分类方法。计算机仿真结果表明,该方法不仅能实现对不同时频结构特征调频干扰的分类和识别,而且不需要预先训练,从而降低算法复杂性,提高了时效性。      

冗余度为零子波变换

文中在讨论子波变换的性质后,提出基于"频谱切割"的冗余度为零的子波变换新方法.为了压缩信息量,所以把FFT改成计算速度更快的DCT.     

基于小波域改进HMT模型的图像恢复算法

针对图像恢复中的边缘模糊问题,提出了一种基于小波域改进隐马尔可夫树( IHMT) 模型的图像恢复算法。IHMT模型更多描述了相邻尺度小波系数的互相关性,能准确刻画自然图像小波系数的统计特性。本文从图像恢复的贝叶斯框架出发,将简化的IHMT模型作为图像小波域的先验模型,构造正则化约束进行图像恢复。采用近似等价的方法,将含有混合密度的恢复方程简化为单一密度求解。实验结果表明,该算法能有效再现图像的边缘信息,提高峰值信噪比。     

具有三维姿态测量功能的无人机自动驾驶仪的设计与实现

自动驾驶仪是无人机的核心控制部分.论文介绍了一种具有三维姿态测量功能的小型无人机自动驾驶仪的硬件设计,分析了各部分硬件的功能和相互接口,给出了实验数据.该自动驾驶仪集成了多种利用微机电技术制造的传感器,具有飞行增稳和三维姿态测量功能,可以接收全球定位系统信号,根据设定航线实现按预定航线自主飞行.     

一种新的自适应图像分割方法

目的研究图像分割的最佳阈值．方法一种基于灰度图像直方图嫡和遗传算法的自适应图像分割算法．结果在此研究中,分割问题被定义为一个优化问题,由于遗传算法能够有效地搜索分割参数空间,则以遗传算法的适应值作为质量标准．结论此方法可用于最佳阈值分割．     

Application of improved BPNN in image restoration-learning coefficient

A new method of artificial intelligence based on a new improved back propagation neural network (BPNN) algorithm is partially applied in the problem of image restoration. In order to overcome the inherited issues in conventional back propagation algorithm i.e. slow convergence rate, longer training time, hard to achieve global minima etc., different methods have been used including the introduction of dynamic learning rate and dynamic momentum coefficient etc. With the passage of time different techniques has been used to improve the dynamicity of these coefficients. The method applied in this paper improves the effect of learning coefficient η by using a new way to modify the value dynamically during learning process. The experimental results show that this helps in improving the efficiency overall both in visual effect and quality analysis.