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MA（q)模型逆相关函数估计方法MATLAB例程(MA (q) model of inverse correlation function estimation routines MATLAB)

说明：  垂直阵测量误差分析及甚宽频带恒定束宽性能，吴国清的论文(Vertical array analysis and measurement error is very broadband constant beamwidth performance, Wu Guoqing papers)

说明：  对图像进行niblack二值化，用的是niblak算法，是最基本的niblack(Niblack the image binarization, using a niblak algorithm is the most basic niblack)

HTML version of popular game Petals Around the Rose

压缩包里只有程序没有仿真图">

关于车辆声音信号的滤波、能量以及频谱分析(Voice signals on the vehicle filtering, spectral analysis of energy and)

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)

The files explain aliasing , gibbs, dft and fft. All are very useful in signal processing applications and the files illustrate the contents very well with plots/graphs.

飞机自然特性分析。 给定一个飞机纵向与横侧向运动状态空间方程，分别在时域、幅频域、复域分析飞机的纵向和横侧向自然特性(Given the natural characteristics of the aircraft an aircraft longitudinal and lateral motion state space equation, respectively, in test domain, amplitude and frequency domain, complex domain of the aircraft longitudinal and lateral natural features)

The attached file acts as guidance to developers working in the matlab platform.