MilTrack_matlab_v1.0

MATLAB处理实验数据(MATLAB process experimental data )

偏振控制器，利用绑架球对QHQ型进行波长误差分析(Polarization controller, using the kidnapping of QHQ ball type for wavelength error analysis)

预测控制的matlab仿真试验，我编号的程序和大家分享一下(failed to translate make it failed to translate make it failed to translate make it failed to translate make it failed to translate make it failed to translate make it failed to translate make it failed to translate make it )

全向天线的波束下倾方向图程序（均匀轴向排列（8阵元）线状天线阵）；波达方向估计(omnidirectional antenna beam pattern under the dumping procedures (with uniform axial (RUF 8 million) linear arrays); DOA estimates)

canny_edge的源码 供朋友们参考(canny_edge friends as a reference source for)

很详细，具体的说明了matlab软件的入门和基础，希望对大家有帮助(Very detailed and specific description of the entry and basic matlab software, we hope to help)

color images secment code matlab

对复小波提取高频及低频的系数 并对相应的实小波的系数也进行了提取(Extraction of complex wavelet coefficients of high frequency and low frequency And the corresponding real wavelet coefficient were extracted )

多载波调制(Multicarrier Modulation)采用了多个载波信号。它把数据流分解为若干个子数据流，从而使子数据流具有低得多的传输比特速率，利用这些数据分别去调制若干个载波。所以，在多载波调制信道中，数据传输速率相对较低，码元周期加长，只要时延扩展与码元周期相比小于一定的比值，就不会造成码间干扰。因而多载波调制对于信道的时间弥散性不敏感。多载波调制可以通过多种技术途径来实现，如多音实现(Multitone Realization)、正交多载波调制(OFDM)、MC-CDMA和编码MCM(Coded MCM)。其中，OFDM可以抵抗多径干扰，是当前研究的一个热点。(Multi carrier modulation (Multicarrier Modulation) uses multiple carrier signal. It decomposes a data stream into a plurality of sub data stream, so that the sub data stream transmission bit rate is much lower, respectively to a plurality of carrier modulation using these data. )

sparsify is a set of Matlab m-files implementing a range of different algorithms to calculate sparse signal approximations. Currently sparsify contains two main sets of algorithms, greedy methods (collected under the name of GreedLab) and hard thresholding algorithms (collected in HardLab). See ALGORITHMS below for a list of available algorithms.(sparsify is a set of Matlab m-files implementing a range of different algorithms to calculate sparse signal approximations. Currently sparsify contains two main sets of algorithms, greedy methods (collected under the name of GreedLab) and hard thresholding algorithms (collected in HardLab). See ALGORITHMS below for a list of available algorithms.)