Dijkstra(matlab)

ofdm的通信系统的平台，希望对大家有所帮助(ofdm communication system platform, we want to help)

基于边缘梯度的图像匹配，实现对寻找块图像的精确寻找(Gradient based edge image matching, to achieve the exact image of the search block to find)

这是一个基于空时分组编码的MIMO_OFDM通信系统的仿真设计。此系统包括QPSK调制解调，IFFT调制，空时编解码，基于训练符号的信道估计等通信模块。 (This is a space-time block coding based on the MIMO_OFDM communication system simulation design. This system consists of QPSK modulation and demodulation, IFFT modulation, space-time coding and decoding, based on training symbols such as communication channel estimation module.)

用fft对数字信号进行频谱分析,包括对信号的采样，频谱分析，相位分析(The frequency spectrum analysis based on fft)

in this file has matlab code for video stabiliz

利用newmark法求动力响应的程序，可以参考(Newmark method for the dynamic response of the program)

multimedia content encription a book in image processing

图像复原 退化模型 连续退化模型 离散退化模型 复原的代数方法 代数复原原理 逆滤波复原 最小二乘方滤波 MATLAB 实现图像复原 维纳滤波复原 规则化滤波复原 Lucy-Richardson 复原 盲去卷积复原 图像复原的其它 MATLAB 函数 (Degradation of image restoration model continuous degradation model discrete degradation model recovery principles of algebra algebraic inverse filter to recover to recover MATLAB least squares filtering for image restoration Wiener filter to recover the rules-based filtering to recover Lucy-Richardson deconvolution to recover Blind Image Restoration to recover the other MATLAB Functions)

小波降噪、时频分析等方法，系统地研究航天电子设备多余物噪声检测过程中各操作变量和微粒物理参数对声波频谱的影响。通过单因素试验，详细分析了微粒粒径、振动力学条件中加速度和频率等3因素对声音信号频谱分布的影响规律，比较了短时傅里叶变换和小波变换的特点。该结果为进一步识别多余物微粒的参数提供了指导依据(the complexity of the material interaction and the properties of the particles themselves make the received signal difficult to analyse. This paper based on particle collision sound wave mechanism, using the methods of wavelet de-noising, time-frequency analysis and so on, this paper systematically studies the influence of various operating variables and particle physics parameters on the sound spectrum in the process of detecting the noise of aerospace electronic equipment. Through the single factor test, the influences of the three factors such as acceleration and frequency on the spectral distribution of the sound signal are analyse in detail, and the characteristics of the short-time Fourier transform and the wavelet transform are compared. The result provides a guideline for further identification of the parameters of the extraneous particles.)

说明：  个人总结的matlab常用技巧，主要为输出图表时表格的形式(personal lessons Matlab commonly used techniques, mainly for export charts when a form)