lib2

Some algorithms in the realm of ultrasound

Matlab source codes for a book: Quarteroni Saleri 2006 Scientific Computing with MATLAB and Octave

mn逻辑航迹起始,运行在matlab平台，代码非常简单实用(M/Nlogic target tracking initial)

EB power theft identification

 产生长度为1000的标准正太分布的随机信号，画出时域波形及频谱；  采用u=255的非均匀PCM编码，每符号为8bit，画输入-输出关系图；  计算信号量化噪声比（SQNR）；  信道误码率为10-3；  解码，并画出u律反变换后的信号时域波形及频谱。 扩展要求：  采用均匀PCM、量化级数可变、信道误码率可变。 ( have a standard length of 1000 is too random signal distribution, draw time-domain waveform and frequency spectrum  u = 255 using the non-uniform PCM encoding, each symbol for 8bit, drawing input- output relationship diagram  calculated quantization noise signal than (SQNR)  channel bit error rate of 10-3  decoder, and law to draw u the signal after the inverse transform time-domain waveform and frequency spectrum. Expansion of the requirements:  uniform PCM, quantization level variable, a variable channel bit error rate.)

一个单纯形法的程序 可以显示出最优解 最佳值 和迭代次数(a simplex method procedures can demonstrate that the optimal solution the best value and the number of iterations)

fs = 8000 t = (0:1/fs:1). x1 = cos(2*pi*t*300) x2 = cos(2*pi*t*400) ha = phased.ULA( NumElements ,10, ElementSpacing ,1) ha.Element.FrequencyRange = [100e6 300e6] fc = 150e6 x = collectPlaneWave(ha,[x1 x2],[10 20 45 60] ,fc) rng default noise = 0.1/sqrt(2)*(randn(size(x))+1i*randn(size(x))) hdoa = phased.ESPRITEstimator( SensorArray ,ha,... OperatingFrequency ,fc) doas = step(hdoa,x+noise) az = broadside2az(sort(doas),[20 60])

说明：  求信号处理中的峰值信噪比，学通信与仪器的都可用(peak signal noise ratio)

R/S分析的程序，用来计算Hurst指数用的(R/S analysis procedures used to calculate the index Hurst)

采用matlab simulink仿真，搭建了通信仿真系统，具有很好的参考价值，希望对你有帮助(Using matlab simulink simulation, set up communication simulation system, with a good reference value, we want to help you)