nahai.m

说明：  在神经网络中用求协方差矩阵的方法对人脸图像进行压缩及恢复(In the neural network covariance matrix using the method of face image compression and restoration)

Inter-symbol interference if not taken care off may cause severe error at the receiver and the detection of signal becomes difficult. An adaptive equalizer employing Recursive Least Squares algorithm can be a good compensation for the ISI problem. In this paper performance of communication link in presence of Least Mean Square and Recursive Least Squares equalizer algorithm is analyzed. A Model of communication system having Quadrature amplitude modulation and Rician fading channel is implemented using MATLAB communication block set. Bit error rate and number of errors is evaluated for RLS and LMS equalizer algorithm, due to change in Signal to Noise Ratio (SNR) and fading component gain in Rician fading Channel.

说明：  董霖编著《matlab使用详解》程序源文件(董霖edited &quot matlab explain the use of&quot source documents)

用菲涅耳衍射模拟液晶相控阵的远场光强分布(Fresnel diffraction simulation of liquid crystal phased array far-field intensity distribution)

这是一个火车票分配问题（只有X是未知的） 假设初始座位数为N 分配给AB，BC，AC的座位数量为（xAB,xBC,xAC） 假设在时间t还剩余的A-B,B-C的可售座位数为（a,b） 三个区段的需求DAB,DBC,DAC,是独立的随机变量（也可以给确定的值），其价格分别为（fAB，fBC，fAC）(This is a train ticket assignment problem (only X is unknown). Suppose the initial number of seats is N The number of seats allocated to AB, BC and AC is (xAB, xBC, xAC). Assuming that the remaining A-B in time t remains, the number of seats available for sale is B-C (a, b). Demand DAB, DBC and DAC in three sectors are independent random variables (which can also be given a fixed value), and their prices are (fAB, fBC, fAC) respectively.)

MATlab code for frequency hole detection in cognitive radio

AR自适应滤波器，用Kalman滤波器跟踪AR模型的吸收变化(adaptive AR model，use kalman filter to trace the variance of ar coeffience)

Classes which implement this interface provide methods that deal with out from a remote shell command on a device/emulator.

jpeg compression , use DCT, Zigzag, Quantization,IDCT, InvZigzag, huffman to do the compression with matlab

channel simulation model for matlab