programming_tips

说明：  阵列信号处理，空时抗干扰的HA算法Matlab仿真(Array signal processing, space-time algorithm for Matlab simulation of interference of the HA)

The goal of SPID is to provide the user with tools capable to simulate, preprocess, process and classify in vivo and ex vivo MRS signals. These tools are embedded in a matlab graphical user interface (GUI). (Pre)processing and classification methods can also be automatically run in a row using the matlab command line

使用Wigervillerdecompostion方法和短时傅里叶变换分解信号，得到信号的时频分布。(Use Wigervillerdecompostion decomposition method and short time Fourier transform signal to obtain time-frequency distribution.)

基于simulink的rayleigh信道仿真（jakes模型）及误码率的计算(Rayleigh channel simulink based simulation (jakes model) and the BER)

贝叶斯估计，最小二乘法，递推最小二乘法，梯度校正法，增广最小二乘法进行系统辨识(Bayesian estimation, least squares, recursive least squares method, the gradient correction method, the augmented least squares method for system identification)

毕业设计中，用Matlab实现了机器人最优路径规划中的全局路径规划，算法采用的是基于方向权的 RPIjWY 二叉树算法，同时结合了哈夫曼编码二叉树的 JCCUmxQ综合。(Graduation design, using Matlab to achieve the optimal path planning of robot global path planning algorithm uses a binary tree algorithm based on the direction of the right RPIjWY , combined with the binary tree Huffman coding JCCUmxQ comprehensive.)

hht 一种改进希尔伯特黄变换的信号处理相关资料，HHT 在对非线性非平稳的信号进行处理的相关资料(hht )

一个最速下降的开发, matlab的代码示例。希望对大家有所帮助(steepest descent)

说明：  1， 自动去除导频，空子载波的simulink模块 2， 接下来是转二进制的模块（集成在解交织解卷积模型里，用一个Interger2Bit实现） 3， 然后是解交织解卷积模型—deconv. 负责解交织和解卷积 4， 再就是解RS解随机化模型—decode_new. 负责解RS解随机化 5， decode.m文件： 负责主程序的运行，实现参数的输入和修改，支持各种调制编码方式 (1, automatically remove the pilot, take advantage of the simulink Carrier Module 2, followed by a binary switch module (integrated in deinterleave deconvolution model, with a Interger2Bit achieve) 3, followed by deconvolution model deinterleave-deconv . responsible for reconciliation deinterleave convolution 4, Then solution RS solution model random-decode_new. responsible solution RS solution randomized 5, decode.m documents: the main program is responsible for the operation, to achieve input and modify parameters to support a variety of modulation encoding)

matlab环境下实现局部均值分解（LMD）(matlab environment to achieve local mean decomposition (LMD) )