double_fY

合成孔径.ppt,合成孔径雷达.ppt,脉冲压缩雷达.ppt,目标分辨与模糊.ppt(Synthetic aperture. Ppt, synthetic aperture radar. Ppt, pulse compression radar. Ppt, objectives and fuzzy to tell. Ppt)

盲信号处理牛人cardoso，关于盲信号处理代数方法的程序-联合对角化算法。研究盲信号处理的人必读程序。(blind signal processing cattle were cardoso. on the blind signal processing methods of algebraic-joint diagonalization algorithm. Blind Study of the signal processing procedures mandatory.)

空间谱估计经典算法DOA的MUSIC 和 ESPRIT。适合于MATLAB和DOA算法入门。(MUSIC and ESPRIT algorithm appliment.)

this code is used to show the result of power flow solution of a power system

matlab Simulation program to realize OQPSK transmission system

（1） 熟悉连续信号经理想采样前后的频谱变化关系，加深对时域采样定理的理解． （2） 熟悉时域离散系统的时域特性 （3） 利用卷积方法观察分析系统的时域特性． （4） 掌握序列傅立叶变换的计算机实现方法，利用序列的傅立叶变换对连续信号，离散信号及系统响应进行频域分析． ((1) familiar with the continuous signal to the manager before and after the sampling of the spectrum changes relations and deepen the time-domain sampling theorem understanding. (2) familiar with the time-domain system discrete time-domain (3) using deconvolution method of analysis in time domain characteristics. (4) master sequence Fourier Transform computer, using the Fourier transform sequence of continuous signals, Discrete signal system response and frequency domain analysis.)

針對單輸入與雙輸入模糊溫度控制系統，以C語言程式分別實現(For single-input and two-input fuzzy temperature control system to realize, respectively, C language programs)

说明：  图像拼接，使用此代码可以方便的将一幅灰度图像或者彩色图像进行横向或者纵向拼接(Image mosaic, the use of this code can easily be a grayscale image or color image mosaic of horizontal or vertical)

消除实验图像中的背景噪声，噪声为随机或高斯噪声(Eliminating background emissions)

快速NCC(normalized cross correlation)算法实现。比matlab自带的normxcorr2 快10-20倍。在windows Unix环境下c语言，和matlab编译通过。(use Matlab on Windows or Linux or Mac OS X and want fast (exact, general-case) normalized correlation (NCC) code right now, then download it and enjoy the large performance gain over Matlab s normxcorr2 (demo included). For the brave (and/or masochistic) there is B), however, it is unlikely you will do better than the above. Thanks to Liang Jin for making the OS X binary (his performance comparison graph on a PowerPC). )