SGA

数字信号处理基于matlab 文件内容 /conv(卷积部分) dupconv 重叠保留法 freqcirconv 频域圆周卷积 freqconv 频域卷积 timecirconv 时域圆周卷积 timeconv 时域卷积 /fft(频域分析部分) d2fft 基2FFT dft DFT最简化程序 dtft DTFT演示 /fir(fir滤波器设计) fir 得到fir滤波器hn getwindow 得到fir滤波器窗函数wn idealfilter 理想滤波器(低通,高通,带通)hdn idealhd 理想低通滤波器 /fir gui(fir滤波器GUI设计) gui_top 总图 gui_fir fir滤波器GUI gui_sigout 选择信号GUI /power caculate(功率谱分析) directpower 直接谱分析 indirectpower 间接谱分析(估计谱分析) noise 噪声谱分析 /sigout(常见信号产生) sigout 离散信号产生(Digital signal processing matlab based on the content of the document/conv (convolution part) dupconv law of reservations freqcirconv overlapping frequency domain circular convolution freqconv frequency domain convolution timecirconv time-domain circular convolution timeconv time-domain convolution/fft (frequency domain analysis part) d2fft base 2FFT dft DFT the most simplified procedure dtft DTFT demo/fir (fir filter design) fir be fir filter hn getwindow be fir filter window function wn idealfilter ideal filter (low pass, high pass, band-pass) hdn idealhd ideal low-pass Filter/fir gui (fir filter GUI design) gui_top general layout gui_fir fir filter selection GUI gui_sigout signal GUI/power caculate (power spectrum analysis) directpower direct spectral analysis indirectpower indirect spectral analysis (spectral analysis estimated) noise noise spectrum analysis/sigout (common signals) sigout discrete signals)

sequencia de imgs loira secretaria

悉尼大学SLAM团队的基于道路特征提取的探测树方法，直接运行viewLsr.m文件即可。(University of Sydney team based SLAM detection tree path feature extraction methods, directly run viewLsr.m files.)

high refractive index metals

some solutions for the nomal questions with matlab

说明：  经典的基本PSO粒子群优化算法的测试函数共享一下(Classic basic PSO Particle Swarm Optimization to share about the test function)

this matlab source code is for introduction

Open source radar simulation software

it s about a course in language C++ writen by professional professor in university course number 33

X2分布检验，只要是用来检验数据是否属于正态，对数正态，伽马分布(X2 distribution of test data as long as they are used to test whether they are Normal, Lognormal, Gamma distribution)