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本程序是功率谱密度的仿真比较,关于三个信号源的具体情况参见《现代数字信号处理导论》上册，P202，习题5。
实验方法：周期图法、自相关法和协方差法。
-this procedure is the power spectral density of the simulation, 3 signal source on the specific circumstances, see the "modern digital signal processing" Introd
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用matlab产生自相关系数固定的序列,然后再观察其功率谱密度.-using Matlab correlation coefficient derived from the fixed sequence, and then observed its power spectral density.
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图像融合评价程序，通过均值，标准偏差，熵，梯度，相关系数，光谱扭曲度等多个指标对融合图像进行评价比较。-image fusion evaluation procedures, the mean, standard deviation, entropy, gradient, and the correlation coefficient. spectral distortion degree of integration of various indicators to evaluate the
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This function provides an ARMA spectral estimate which is maximum entropy satisfying correlation constraint (number of poles)and cepstrum
constrains (number of ceros)
The function requires 3 inputs: Input signal, Order of denonominator, Order
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This function provides an ARMA spectral estimate which is maximum entropy satisfying correlation constraint (number of poles)and cepstrum constrains (number of ceros)
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sndpeek is just what it sounds (and looks) like:
real-time 3D animated display/playback
can use mic-input or wav/aiff/snd/raw/mat file (with playback)
time-domain waveform
FFT magnitude spectrum
3D waterfall plot
lissajous! (inte
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影像融合评价程序，计算标准偏差，平均梯度，相关系数，光谱扭曲度等融合指标。,Image fusion evaluation, calculation of standard deviation, average gradient, correlation coefficient, spectral distortions, such as integration targets.
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产生LogNormal分布的相干相关高斯谱杂波序列。相关-Generated LogNormal Gaussian spectral distribution of coherent clutter-related sequences. Production of correlation sequences using frequency-domain method.
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正交信号校正，一种预处理算法，用来消除光谱中与浓度无关的信息，增强浓度与光谱的相关性-Orthogonal signal correction, a preprocessing algorithm, to eliminate the information in the spectrum unreleated with the target concentration, enhanceing the correlation between concentration and spectral
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随机信号分析实验之白噪声测试，白噪声信号的特性，包括均值、方差、相关函数、概率密度、频谱及功率谱密度等。- White noise of test random signal analysis experiment, white noise signal characteristic, including average value , variance, correlation function, probability density, frequency spectrum and powe
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AR模型,用经典法的自相关法求谱估计，简单实用-AR model, using the classic method of auto-correlation spectral estimation method, simple and practical
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随机产生序列u(n),计算自相关系数并且计算功率谱密度-Randomly generated sequence u (n), calculated from the correlation coefficient and calculate the power spectral density
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自相关函数Rxx（tao）可以了解不同时刻同一随机样本间的波形相似程度。
自功率谱密度函数Sxx（f）：反映相关函数在时域内表达随机信号自身与其他信号在不同时刻的内在联系。当随机信号均值为零时，自相关函数和自功率谱密度函数互为傅立叶变换对。
-Autocorrelation function Rxx (tao) can learn the same random sample at different times the degree of similarity between th
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这个函数用于估算光谱中的最大信息熵，它同时满足了倒频谱的局限和相关谱的局限-This function provides an ARMA spectral estimate which is maximum
entropy satisfying correlation constraint (number of poles)and cepstrum constrains (number of ceros)
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方便准确的计算信号的互相关函数和互相关功率谱密度。-To facilitate accurate calculation of the signal cross-correlation function and cross-correlation power spectral density.
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了解随机信号自身的特性，包括均值（数学期望）、方差、相关函数、频谱及功率谱密度等。-Understanding of random signal their characteristics, including mean (mathematical expectation), variance, correlation function, spectrum and power spectral density.
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利用现代谱估计中的AR 模型求取仿真噪声信号和真实噪声信号的模型参数，然后利用这些参数求得信号的功率谱图，通过功率谱图定性地描述主噪声源和次噪声源。在利用信号功率谱图定性描述噪声源后，进一步地利用曲线相似度和曲线关联度定量的识别主噪声源和次噪声源-Use of modern spectral estimation of AR model to strike a realistic simulation of the noise signal and noise model parameters,
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用相关图方法进行现代谱分析实验，经实验运行，结果有效。-Correlation diagram method using spectral analysis of modern experiments, the experimental run, the results are valid.
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利用循环谱相关法从高白噪声中检测识别出BPSK调制的直扩信号。(Detection and identification of BPSK modulated DSSS signals from high white noise using cyclic spectral correlation method.)
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2fsk调制仿真产生IQ数据，然后利用循环谱相关算法估计2fsk的Dev，代码完整可用(2FSK modulation simulation produces IQ data, and then uses cyclic spectral correlation algorithm to estimate the Dev of 2FSK. The code is complete and available)
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