three_mirror_cavity_clockwise

说明：  hough变换，可以经过图像的边缘点实现霍夫变换，即实现空间转换！(hough transform, image edge points can be achieved through the Hough transform, that is to achieve space conversion!)

对流体数及设置颜色，添加切片，顶光效果的设置等等(Number of fluid and set the color, add the slices, top light effect settings, etc.)

关于压缩感知的程序，传输的信号为语音信号，并且进行重构。(voice compressed)

ra_snr_gui.m 作用：统计不同信噪比下，五种信号的峰值旁瓣比RA和低高频均值比RM，绘制结果，参考图3.11和3.12 DFCW_RA_SNR.m 作用：产生正交离散频率编码信号，并计算峰值旁瓣比RA和低高频均值比RM LFM_RA_SNR.m 作用：产生线性调频信号，并计算峰值旁瓣比RA和低高频均值比RM OFDMLFM_RA_SNR.m 作用：产生正交频分线性调频信号，并计算峰值旁瓣比RA和低高频均值比RM PC_RA_SNR.m 作用：产生正交相位编码信号，并计算峰值旁瓣比RA和低高频均值比RM SIN_RA_SNR.m 作用：产生单载频信号，并计算峰值旁瓣比RA和低高频均值比RM 输入参数： vSNR：信噪比向量 输出结果： RA:峰值旁瓣比向量RA，对应信噪比向量 RM:低高频均值比向量RM，对应信噪比向量 calculateRA.m: 作用：计算不同信噪比下峰值旁瓣比RA和低高频均值比RM，参考论文3.4.5节 输入参数: sig：输入信号，可以是多行MIMO信号，运算中将合并为1行信号 vSNR：信噪比向量 输出结果： RA:峰值旁瓣比向量RA，对应信噪比向量 RM:低高频均值比向量RM，对应信噪比向量 sig_dfcw.m 作用：产生正交离散频率编码信号 sig_ofdm.m 作用：产生正交频分线性调频信号 sig_pc.m 作用：产生正交相位编码信号 (ra_snr_gui.m action: Statistics different SNR peak sidelobes than five signal RA and low high frequency average ratio RM, rendering the results, referring to Figure 3.11 and 3.12 DFCW_RA_SNR.m effect: generating orthogonal discrete frequency encoded signal, and calculate the peak sidelobe ratio RA and low and high frequency average ratio RM LFM_RA_SNR.m effect: generating chirp signal and calculates the peak sidelobe ratio RA and low high frequency average ratio RM OFDMLFM_RA_SNR.m effect: generating an orthogonal frequency division chirp signal and calculates peak sidelobe ratio RA and low and high frequency average ratio RM PC_RA_SNR.m effect: generating quadrature phase encoded signals and calculate peak sidelobe ratio RA and the average low and high frequency effects than RM SIN_RA_SNR.m: to produce a single carrier frequency signal, and calculate peak sidelobe ratio RA and RM lower than the average high-frequency input parameters: vSNR: SNR vector output: RA: peak sidelobe ratio v)

很简单的matla帧差法的代码。。。。。。。。。。。。(Very simple matla frame difference code)

calcula os sete momentos invariantes momentos hu

sobel算子 源代码，能完成图像边缘检测 (sobel operator )

说明：  进行数据的预处理，标准化和白化，便于数据的后续分析(Data preprocessing, standardization and whitening, facilitate the subsequent analysis of data)

该程序为量子免疫遗传算法，非常适合新手学习,(Quantum immune genetic algorithm, suitable for beginners to learn)

对原有数据进行排列，找到它所在位置，求出符合要求的最小值(The original data are arranged in a position to find it, find the minimum to meet the requirements)