Wavelet is one of the most outstanding techniques in image processing , and fractal signal processing is a new analysis method developed in past two decades . a study of combining those two methods of signal processing and applying them to image processing is the topic of this thesis 本文对分形这种信号处理中常用的非线性处理技术及其在图像处理中的应用进行了研究，将其与小波变换相结合，用于图像压缩、图像边缘提取、 sar图像消噪等领域，取得了较好的效果。
Application of emd and wavelet transform to diagnosis machine fault in this paper a signal singularity detection method is introduced , with which the signal is decomposed into imfs ( intrinsic mode function ) by the emd ( empirical mode decomposition ) and the singularity of the imfs is extracted by the wavelet transform 利用emd方法和小波变换进行机械故障诊断本文采用经验模式分解( emd )与小波变换相结合的方法分析非平稳机械故障信号的奇异性，进行机械故障诊断。
The main works and innovations of this thesis are as follows : ( 1 ) based on the oversampling of ofdm frequency response , this paper proposes a channel estimator which combines the comb - pilot - tones partitioning and the fourier transform with the same pilot symbol samples 具体而言，主要有以下六个方面的工作和创新点： ( 1 )利用在ofdm系统中信道的频域响应是过采样的特性，提出了在频域内用均匀梳状分布的导频符号和与导频符号数相同点的傅里叶变换相结合的信道估计方法。
This dissertation is mainly about the transit radiation of the electron beam passing through the gap with the random standing wave electric field . in order to satisfy the requirement of the task , the feasibility of generation of more than 1 gw high power microwave in x - band using the transit radiation oscillator based on the transit effect is studied 研究了二维柱坐标系网格划分算法，并用此算法对五腔开放腔进行网格划分，采用时域有限差分与快速傅里叶变换相结合的方法计算了五腔开放腔/ 6 、 2 / 6 、 3 / 6 、 4 / 6 、 5 / 6模这五个模式的频率和场分布。
In this algorithm , bss and discrete wavelet transform are combined : binary image is used as watermark and is embedded into the wavelet domain to ensure the robustness and invisibility of watermark ; bss is applied in the extraction of watermark to get the watermark with definite resolution on the condition of lack of source image . it is experimently proved that our blind watermark algorithm based on bss is satisfying 该算法将盲信号分离问题和离散小波变换相结合用于数字图像水印技术：水印嵌入时，以二值图像作为水印，嵌入到被保护图像的小波域中，保证了水印的鲁棒性和不可见性；水印提取时利用盲信号分离算法在没有原始图像的情况下将具有一定分辨率的水印图像提取出来，直观方便。
The radar target identification based on artificial neural network is the protagonist of the chapter 4 . bp network and wavelet network are used to classified the emulational radar targets . with the powerful capability of non - linnear identification of bp neural network , its ’ born limitations such as local extremum , slow convergence etc . can be reformed by the wavelet network , which is a network with a wavelet function embedded into the node of a bp network 研究了基于人工神经网络模型的雷达目标hrrp识别方法。 bp人工神经网络强大的非线性处理能力,在解决复杂目标分类识别时有优势;小波神经网络针对bp网络的不足,将bp网络和小波变换相结合,在网络收敛、网络初始化方面弥补了bp网络的部分缺陷,其识别性能和抗噪性能与bp网络相比有所提高。
A high - resolution method for frequency measurement is strongly introduced in the paper , which is aim at detecting the frequency of regular and binary phase coding modulated pulse signals with high frequency precision . considering the popularity of linear frequency modulated ( lfm ) signal in electronic systems , this paper then referred a radon - stft arithmetic to calculate the carry frequency of lfm signal . both of these methods referred above are implemented in the signal if detection software 针对常规脉冲调制信号和脉内二相编码调制信号,本文提出一种高精度的数字化测频方法,以提高信号载频测量精度;线性调频信号作为一种典型的非平稳信号在各种领域应用十分广泛,但对其载频的数字化测量比较困难,本文利用图像处理中的radon变换与信号时频分析中的线性变换相结合的算法来完成对其载频的测量。
A personal identification system based on iris pattern is composed of iris image acquisition , image preprocessing , feature extraction and matching . others " algorithms of iris location are studied and the deficiencies in them are pointed . considered the brim character and hough transform , two different location methods are put forward 在虹膜定位过程中，分析了前人一些算法中的不足，结合边缘特征和hough变换，对内外边缘提出了两种不同的定位方法：对内边缘，采用边缘跟踪和hough变换相结合的方法；对外边缘，根据外边缘特性结合梯度算子找到梯度最大值对应的圆参数。
