fft1．用Matlab产生正弦波,矩形波,以及白噪声信号，并显示各自时域波形图 2．进行FFT变换，显示各自频谱图，其中采样率，频率、数据长度自选 3．做出上述三种信号的均方根图谱,功率图谱,以及对数均方根图谱 4．用IFFT傅立叶反变换恢复信号，并显示恢复的正弦信号时域波形图-fft1. Using Matlab generated sine wave, rectangular wave, as well as the white noise signal, and displa

别对两幅图像提取广义特征点后， 利用基于根均方误差和交叉相关的两级匹配算法完成同名控制点的建立。并以局部加权直线拟合方法来校正图像 的几何畸变。最后建立两幅图像之间的函数映射关系，完成图像的配准。实验结果证明了该方法的有效性。-Do the two images extracted generalized characteristic point, the root mean square error-based and cross-correlation of the two cont

In this paper the analysis of the compression process was performed by comparing the compressed signal against the original signal. To do this the most powerful speech analysis and compression techniques such as Linear Predictive Coding (LPC) and Dis

对2维doa进行估计，在不同的快拍数情况下，BPSK信号的经典MUSIC估计比单频信号的经典MUSIC估计方法均方根误差性能更好-On 2 d to estimate doa. In different fast take several cases, BPSK signal of classical MUSIC estimate than single frequency signal of the classical MUSIC estimation method root mean squ

PF-RMSE 单变量非静态增长模型（UNGM模型）粒子滤波算法下，均方根误差分析仿真-Under PF-RMSE univariate non-static growth model (UNGM model) particle filter, root mean square error analysis and simulation