22lfm_radar

利用MATLAB實現類神經網路ART演算法(ART neural network)

信号的FFT变换、经典功率谱分析和现代功率谱分析，周期图法、尤利沃克方法、burg方法、协方差和改进协方差方法(Signal FFT transform, the classic power spectrum analysis and modern power spectrum analysis and periodogram method, method of Julius walker, burg, covariance and the covariance improvement method)

通过M atlab 模拟了随机产生的一定概率分布的信号序列, 叠加高斯噪声后利用最大后验概率(MAP)检 测到的误码率, 做出BER~ SNR曲线, 并与理论计算得到的曲线进行比较, 两者吻合.(M atlab simulated by a certain probability distribution of random signal sequence, use of superposition of Gaussian noise is the maximum a posteriori (MAP) detection to the error rate, making BER ~ SNR curves obtained with the theoretical curve of the combined fit.)

this is a matlab function that can be given to the genetic algorithm tool box to chose the best 10 positions of 1 s beside the original 6 in the upper left corner 1 s in the dct quantization matrix

通过锁相环的方法实现2fsk的传输系统的设计，，这是仿真图。。仅供参考(Achieved through the PLL 2fsk designed transmission system, which is the simulation of Fig. . For reference only.)

属于真实气体状态方程，可用于计算气体温度、压力和密度。(Calculate physical parameters of a gas, such as pressure, density, and temperature)

lear N = 10^5 EB_NO = [-1:30] liu1 = zeros(1,N) liu2 = zeros(1,N) for ii = 1:length(EB_NO) m= (2*(rand(1,N)>0.5)-1) + j*(2*(rand(1,N)>0.5)-1) s = (1/sqrt(2))*m normalization of energy to 1 n = 1/sqrt(2)*[randn(1,N) + j*randn(1,N)]

MATLAB APLICADO AL CONTROL AUTOMATICO

非线性动力学系统中，基于改进的C-C方法的相空间重构参数选择(Nonlinear dynamical systems, based on the phase space reconstruction method to improve the CC parameter selection)

genetic algorithm example in matlab