lexicographysort

即将于matlab的小波变换的示例工具箱，里面含有较多的示例程序(Toolbox upcoming matlab wavelet transform example, which contains more sample programs)

精通MATLAB 是北航的张志用写的电子书 介绍了MATLAB6.5的使用 (Proficient in MATLAB was written by Zhang Beihang' s book describes the use of MATLAB6.5)

说明：  使用matlab simulink编写的卡尔曼滤波程序(Prepared using matlab simulink Kalman filtering process)

包括 MUSIC算法，ESPRIT算法 ROOT-MUSIC算法，ML法能够很好的估计信号的信噪比,ofdm系统仿真 含16qam调制 fft 加窗 加cp等模块。( Including the MUSIC algorithm, ESPRIT algorithm ROOT-MUSIC algorithm, ML estimation method can be a good signal to noise ratio, ofdm system simulation including 16qam modulation fft windowing modules plus cp.)

说明：  关于AR模型MATLAB程序，同时进行频谱分析(AR model on the MATLAB program, at the same time spectrum analysis)

svpwm 模型实例，希望大家给出意见 (SVPWM model as an example, hope everyone give advice )

　　　近20年来，阵列信号处理已成为信号处理的一个重要分支，本次实验就是通过MUSIC（Multiple Signal Classification）算法对混叠有高斯白噪声的双信源信号进行频谱分析。(Space there is more than one letter (No.) source, it is often necessary to separate these signals in order to track or detect the spatial signal we are interested in, inhibition of those who are considered interference signal. To this end, the need to use the antenna array to receive multiple spatial signal analysis and processing of the the spatial signal received by the antenna array known as array signal processing. The past 20 years, array signal processing has become an important branch of signal processing, this experiment is the MUSIC (Multiple Signal Classification) algorithm aliasing Gaussian white noise dual source signal spectrum analysis.)

effective segmentation algorithm

constructive role of noise in signal detection from parallel arrays of quantizers.(A noisy input signal is observed by means of a parallel array of one-bit threshold quantizers,in which all the quantizer outputs are added to produce the array output.s(t)=s1(t)with prior probability P0,or s(t)=s0(t)with prior probability P1=1-P0 input signal-noise mixture x(t)=s(t)+n(t) x(t) is observed by means of a parallel array of M threshold comparators. yi(t)=U[x(t)+wi(t)-theta],i=1,2...M.wi(t) is threshold noise.Y(t)=y1(t)+y2(t)+...yM(t), the array output Y(t) is meansured at T distinct times.the plot is fthe theoretical value of minimal detection error probability Per varied with sigma.)

matlab的基础技术文档，很管用，还有很多实例(matlab based technical documentation, very useful, there are many instances)