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于 2011-05-24 发布 文件大小:283KB
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  fft变换举例,实例分析MATLAB 中的FFT变换的使用方法,清晰明了。(fft transform example)

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    A good survvy in the field of segment and other direction.How to choose a better method to improve the effect.
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  • LHS
    拉丁超立方抽样,调用方式如下:S=lhs(m,dist,mu,sigma,lowb,upb) m: a scalar,the number of sample points dist: A row with distribution type flags of basic random variables the value of the flag can be 1 (for uniform distribution, 2(for normal distribution), 3(for lognormal) and 4(for extreme type 1). mu: A row vector comprising the mean value of basic random variables. sigma: A row vector with its length equaligng to mu,including the standard deviation of basic random variables. lowb: a row vector with its elements are the lower bound of the sampling interval upb:a row vector with its elements are the upper bounds of the sampling interval dist,mu,sigma,lowb,upb must have the same length. Output argument S: sampling point matrix, of which each row is a sampling point.(code of Latin Hypercube Sampling)
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  • RA ra_snr_gui.m 作用
    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)
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