iEye-master

MATLAB Tutorial : For the beginners in MATLAB, this example code will provide a great jump start. The code has comprehensive comments to elaborate the functionality explicitly.

说明：  此算法为最小二乘辅助变量法。uy2为含噪声数据，n=2,噪声模型n=2。左为输出数据，右为输入数据。k=2,3,4,5等等(Least-squares algorithm for the auxiliary variables. uy2 for data containing noise, n = 2, the noise model n = 2. Output data for the left and right for the input data. k = 2,3,4,5, etc.)

Matlab将figure系列另存为Gif动画(Save series of figures as gif with Matlab)

Implementation of brute force algorithm of pattern recognition.

语音信号的短时能量程序，可以实现清浊音分离(Short-time speech signal energy program, you can achieve the sound separation Qingzhuo)

LMS算法，已经通过相关调试，应用相应的语音段和噪声段文件进行调试(LMS algorithm, has been passed related to debugging, the application of appropriate voice and noise paragraph debug files)

用Matlab仿真实现最小二乘法和总体最小二乘法估计 假设仿真的观测数据 产生，其中 为0均值， 单位方差的高斯白噪声，取n=1,2,....128。 试用TLS，取AR阶数为4，估计AR参数 和正弦波频率；再用SVD-TLS ，估计AR参数 和正弦波频率。 (1)、在仿真中，AR阶数取为4和6。 (2)、执行SVD-TCS时，AR未知。仿真运行至少二十次。 (Simulation using Matlab and the overall least squares least squares estimate assumptions simulated observation data are generated, where 0 mean, unit variance Gaussian white noise, take n = 1,2 ,.... 128. Try TLS, take AR order of 4, estimated AR parameters and the sine wave frequency then SVD-TLS, estimated AR parameters and the sine wave frequency. (1), in the simulation, AR order is taken as 4 and 6. (2), when the implementation of SVD-TCS, AR is unknown. Simulation run at least twenty times.)

经典matlab书籍——《精通MATLABA6.5版》，张志涌等编著，北京航空航天大学出版社。配备书上详细的代码，学好MATLAB必备。 (Matlab classic books- proficient MATLABA6.5 Edition , edited by Zhang Zhiyong, etc., Beijing University of Aeronautics and Astronautics Press. Books with detailed code, learn essential MATLAB.)

matlab code for least square another fir

This file includes matlab source code for the Uncoded QPSK + Coded QPSK with Viterbi (Hard decesion) decoder.