HW8

基于椭圆球面波脉冲组的多进制PPM-UWB系统(M-ary PPM-UWB systems using pswf pulse group)

用SRP-PHAT这个方法进行单个声源进行定位。并且举例说明(Single source locationing algorithm using SRP-PHAT with SRC_srplems)

基于EMD的直流电机换向电流提取程序。内含用LEM公司的霍尔传感器实测的微型直流电动机启动时的电流信号（真实的数据和大家分享），分别用小波滤波和EMD消噪，并用EMD提取直流分量、高频换向电流，对研究电机间接测速、启动特性测试很有帮助，对电机故障诊断也有帮助。(EMD-based DC motor commutation current extraction procedures. LEM s included with Hall sensors measured miniature DC motor start-up current signals (real data and to share), respectively, with wavelet filtering and EMD de-noising and extracted DC component with EMD, a high-frequency current commutation of indirect research motor speed, starting characteristics testing is helpful, for motor fault diagnosis can also help.)

manupulates vectors and matrices

关于ofdm系统仿真介绍。对于掌握OFDM很有用，原理在实践中应用。(Simulation of ofdm system introduced. OFDM is useful for the control, the principle applied in practice.)

new sharpening concept

Generate 100 samples of a zero-mean white noise sequence with variance , by using a uniform random number generator. a Compute the autocorrelation of for . b Compute the periodogram estimate and plot it. c Generate 10 different realizations of , and compute the corresponding sample autocorrelation sequences , and . Compute the average autocorrelation sequence as and the corresponding periodogram for . d Compute and plot the average periodogram using the Bartlett method. e Comment on the results in parts (a) through (d). (Generate 100 samples of a zero-mean white noise sequence with variance, by using a uniform random number generator.a Compute the autocorrelation of for. B Compute the periodogram estimate and plot it. C Generate 10 different realizations of, and compute the corresponding sample autocorrelation sequences, and. Compute the average autocorrelation sequence as and the corresponding periodogram for. d Compute and plot the average periodogram using the Bartlett method. e Comment on the results in parts (a) through (d).)

attendence project using face recognition system based on pca and lda algorithm

利用遗传算法解决一维装箱问题，包含了数据初始合理化，交叉变异的过程(The use of genetic algorithms to solve the one-dimensional packing problems, including the initial data rationalization, crossover and mutation process)

Return Sparc trap low-level code.