LiZiqun

软判决在OQPSK解调中实现对信号纠错的分析与纠错的(Soft-decision in the OQPSK demodulator to achieve error correction signal analysis and error correction)

是一个完成循环卷积的MATLAB程序 实现方法实在时域完成的，不同于简单的频域实现，有较好的注释，一看就能懂，用的是矩阵的方法实现的(Is a cyclic convolution achieve implementation of the MATLAB program with it, the finish time domain, frequency domain is different from the simple implementation, there is a good note, one can look to understand, are used in the implementation matrix)

AFSA_fx是用人工鱼群算法（artificial fish swarm algorithm）解决一元函数寻优问题。文件打开后运行AFSA_fx.m文件即可得到结果，代码中有详细注释，方便修改。运行示例已经保存为图片附在压缩包中。(AFSA_fx is (artificial fish swarm algorithm) function is used to solve a dollar AFSA optimization problem. Run AFSA_fx.m file to get the file to open the result, the code has detailed notes, easy to modify. Run the sample has been saved as a picture attached to the compressed package.)

基于软阈值的提升小波去噪程序，用于信号处理(A soft threshold based lifting wavelet de-noising program for signal processing)

DOA估计算法，包括music算法，卡尔曼滤波算法，空间平滑算法，改进的空间平滑算法，自适应梯度算法。(DOA estimation algorithms, including music algorithm, Kalman filtering algorithm, spatial smoothing algorithm, improved spatial smoothing algorithm, adaptive gradient algorithm.)

实现简单计算器功能的matlab源码，适合初学者学习。(The realization of a simple calculator function matlab source, suitable for beginners to learn.)

等温线，matlab等温线经典程序，内置数据-IIsotherms ， (The isotherm, matlab isotherm classic program, built-in data-IIsotherms,)

说明：  用Matlab/Simulink研究2ASK(DPSK)在加性高斯白噪声信道下的误码率性能与信噪比之间的关系；试用Matlab/Simulink研究2ASK(DPSK)+信道编码（取汉明码）在加性高斯白噪声信道下的误码率性能与信噪比之间的关系(Matlab/Simulink additive white Gaussian noise channel 2ASK (DPSK) the relationship between performance and signal-to-noise ratio of the bit error rate trial Matlab/Simulink study 2ASK (DPSK)+ channel coding (whichever is the Hamming code) in Canada the relationship between performance and signal-to-noise ratio of Gaussian white noise channel BER)

分数付立业变换函数，MATLAB编写，很方便调用(Score Fourier transform industry function, MATLAB prepared, it is convenient to call)

This function is another tutorial on how to do computer vision type stuff with Octave/Matlab. It shows how to implement Hartley and Zisserman s "DLT" algorithm for estimating a homography from point correspondences