fuzzyPID-MATLAB

使用MATLAB从你的iPhone或iPad上的内置传感器采集传感器数据(Use MATLAB to acquire sensor data from built-in sensors on your iPhone or iPad. )

In recent years large scientific interest has been devoted to joint data decoding and parameter estimation techniques. In this paper, iterative turbo decoding joint to channel frequency and phase estimation is proposed. The phase and frequency estimator is embedded into the structure of the turbo decoder itself, taking into consideration both turbo interleaving and puncturing. Results show that the proposed technique outperforms conventional approaches both in terms of detection capabilities and implementation complexity.

讲述了有关滑模控制的理路知识，算法基础和工程实际应用，同时也提供了matlab仿真的例子以及相关程序。(About the rational approach on sliding mode control knowledge base and practical application of engineering algorithms and also provides examples of matlab simulation and related procedures.)

Matlab 常用图像处理,包括图像相除、相乘、灰度线性变换、图像增强、降噪(matlab Common image processing, including image division, multiplication, gray linear transformation, image enhancement, noise reduction)

基于matlab软件，实现3D有边界的voronoi图。(A Voronoi diagram with a boundary for 3D)

Statistical Pattern Recognition Toolbox(This toolbox implements a selection of statistical pattern recognition methods described in the monograph )

双站SAR成像的例子，里面解决了非线性问题(an example of bisar,in order to deal with the nonlinear problem)

本程序主要针对计算机模拟进行相关程序的编写！(The program focused on the preparation of related computer simulation program!)

MIMO-OFDM自适应实现，如果有自适应调制,进行逐用户,逐OFDM符号,逐子载波的星座调制(MIMO-OFDM Adaptive be achieved if there is an adaptive modulation performed by the user, per OFDM symbol-by-subcarrier modulation constellation)

说明：  基于负熵的盲源分离算法，可以用于语音的盲分离，提高语音信号质量。本代码中，对原始信号分别为正弦波，方波，和随机信号，通过高斯信道的混合矩阵，获得接收信号，并通过基于负熵的盲源分离算法分理处原始信号。PS：Matlab版本为2018Ra(The blind source separation algorithm based on negative entropy can be used for speech blind separation and improve the quality of speech signal. In this code, for the original signal, sine wave, square wave and random signal, the received signal is obtained through the mixture matrix of the Gauss channel, and the original signal is processed by the blind source separation algorithm based on negative entropy. PS: MATLAB Version 2018Ra)