fsk_ask_psk

李萨如图形，改变振幅比，频率比可以得到不同的图形组(Lissajous figure, changing the amplitude ratio, frequency ratio can be different from the graphic group)

产生一个长为1000的二进制随机序列，“0”的概率为0.8，”1”的概率为0.2； 对上述数据进行归零AMI编码，脉冲宽度为符号宽度的50 ，波形采样率为符号率的8倍，画出前20个符号对应的波形（同时给出前20位信源序列） 改用HDB3码，画出前20个符号对应的波形 改用密勒码，画出前20个符号对应的波形 分别对上述1000个符号的波形进行功率谱估计，画出功率谱 改变信源“0”的概率，观察AMI码的功率谱变化情况(A length of 1000 random binary sequence, and " 0" with a probability of 0.8, " 1" with a probability of 0.2 the AMI code above zero, the pulse width of the symbol width of 50 , the waveform sampling rate Symbol rate 8 times, draw the top 20 of the waveform corresponding to the symbol (the first 20 and gives the source sequence) switch HDB3 code, the first 20 to draw a waveform corresponding to the symbol to switch Miller code, the first 20 symbols correspond to draw The waveforms of the symbol of the waveform 1000 power spectrum estimation, shown to change the source power spectrum " 0" , the probability of observation of the power spectrum of AMI code changes)

幅频键控ASK的相干调制解调以及非相干调制解调的仿真实现，源代码中作了详细的备注，通过学习该代码能够对ASK的调制解调有更加深入的认识(Coherent amplitude and frequency shift keying ASK modulation and demodulation, and non-coherent modulation and demodulation simulation, source code made detailed notes, by learning the code to the ASK modulation and demodulation of a more in-depth understanding of)

说明：  matlab matlab v matlab matlab

A good matlab code that analysis the ROC curve and corresponding AUC value to estimate the sensitive and the currectness of the sample estimate. This code is suitable for variable type and function data.

极化码的构造编码以及各种译码方法的MATLAB仿真代码，可以直接调用函数。(The structure coding of polarization code and the MATLAB simulation code of various decoding methods can directly call the function.)

信号与系统基础教程 MATLAB例题 (Signals and systems based on MATLAB Tutorial Example)

fit_ML_normal - Maximum Likelihood fit of the laplace distribution of i.i.d. samples!. Given the samples of a laplace distribution, the PDF parameter is found fits data to the probability of the form: p(x) = 1/(2*b)*exp(-abs(x-u)/b) with parameters: u,b format: result = fit_ML_laplace( x,hAx ) input: x - vector, samples with laplace distribution to be parameterized hAx - handle of an axis, on which the fitted distribution is plotted if h is given empty, a figure is created. output: result - structure with the fields u,b - fitted parameters CRB_b - Cram?r-Rao Bound for the estimator value RMS - RMS error of the estimation type - ML

说明：  harris 角点检测 MATLAB 代码(Harris corner detection MATLAB code)

用matlab对图象实施预测编码和解码，并将原图象与解码图象进行方差计算。(Using matlab implementation of image predictive coding and decoding, and the original image and the decoded image variance calculations.)