asgn_6

确定lyapunov指数的Matlab计算程序。(Lyapunov index to determine the Matlab program.)

对高斯信道下的MATLAB仿真，还有锐利信道，还有些误码曲线，信噪比的统计(Gaussian Channels MATLAB simulation, there are sharp channel, and some error curve, the statistical signal to noise ratio)

说明：  图像检索 毕业设计的 关于 七个不变矩的 简单的实现功能的算法 给予你思路的一个小小的编程！！！(Image Retrieval on the graduation of seven moment invariant features a simple algorithm for the realization of an idea to give your little programming! ! !)

wav file to vector converter

多约束的广义预测控制算法。使用fmincon求解(GPC with constrains code is proposed. And fmincon function is uesed.)

Lfm信号的simulink模块，模拟的是10微秒的信号，已验证(Lfm signal Simulink module, analog signal is 10 microseconds, has been verified)

说明：  基于MATLAB GUI 设计的数字信号处理系统，可以实现基本的信号生成，信号分析和信号滤波以及简单的语音信号处理等功能。其中信号生成模块可实现正弦波、方波、三角波、高斯白噪声、chrip信号的生成和叠加；信号分析模块支持基本的傅氏变换下的频域分析功能；信号滤波模块可以实现数字低通、高通、带通、带阻下的切比雪夫、巴特沃思、椭圆滤波器的设计和滤波处理；语音信号处理模块可以实现音频文件的读取、播放、叠加噪声、滤波等功能。(Based on MATLAB GUI design of digital signal processing system, you can achieve the basic signal generation, signal analysis and signal filtering, and simple voice signal processing and other functions. The signal generating module can realize the sine wave, triangle wave, Fang Bo, Gauss, chrip generation and superposition of white noise signal; signal analysis module supports the analysis function of frequency domain Fourier transform basic conditions; signal filtering module can realize digital low-pass, high pass, band pass, band stop, Butterworth, the Chebyshev elliptic filter design filtering and processing of speech signal processing; module can realize audio files to read, play, adding noise, filtering and other functions.)

本设计主要对4PSK调制方式的信号，利用MATLAB的m文件进行最佳接收机的设计与仿真。对输入的叠加噪声的4PSK调制信号进行接收，利用相关解调器来实现信号解调，及最大似然准则来实现检测器。在相关解调器中，接收信号分别与基函数 和 相乘再积分。在检测器中，利用相位来判断输出，从而最终得到接收的数据。采用随机二进制数通过4PSK调制后叠加高斯白噪声再对设计的接收机进行测试，从测试的结果可看出，在信噪比大于-8dB时，误码率为0，说明该接收机较好的实现了抗噪声性能。(The design of the main 4PSK modulation mode of the signal, the use of MATLAB m file for the best receiver design and simulation. The 4PSK modulated signal of the input superimposed noise is received, and the demodulator is realized by the relevant demodulator, and the maximum likelihood criterion is used to realize the detector. In the associated demodulator, the received signal is multiplied by the basis function and multiplied by the basis function. In the detector, the output is judged by the phase, and finally the received data is obtained. Using the random binary number through 4PSK modulation after the superposition of white noise and then the design of the receiver to test the test results can be seen in the signal to noise ratio greater than-8dB, the bit error rate is 0, indicating that the receiver is better The realization of the anti-noise performance.)

k近邻选取，在降维的时候需要构造邻接矩阵，需要选取近邻的个数(k neighborhood selection)

This code contains the hilbert envelope method for extracting modal properties