MyIFFT

本书全面阐述了Matlab的所有关键特性和功能，提供了精通Matlab所需要的所有方法和手段，通过实例向读者展示如何编写高效的Matlab代码。(Matlab book comprehensively expounded all the key features and functionality, providing all the required proficiency in Matlab ways and means, an example to show the reader how to write efficient Matlab code.)

matlab源码，主要包括基础的图形应用，界面编程，图像处理，数值分析。为方便阅读，将其整合成一个chm格式文档。(matlab source code, mainly based graphics application, interface programming, image processing, numerical analysis. To facilitate the reading, will be consolidated into a chm format documentation.)

本文采用模糊数学和优化理论建立起一套预测模型由计算机自动预测电力负荷从而保证了预测结果的正确性和可信度通过对深圳市远景年电量预测的实例表明该方法是可行而有效的 (this fuzzy optimization theory and mathematical model to establish a set automatically by a computer forecasting electricity load so guarantee the accuracy of the results and credibility of the Shenzhen City Vision, electricity demand forecasting examples show that the method is feasible and effective)

matlab结构优化设计程序,对结构设计十分有用。(the program of the matlab,it is very helpfull.)

Parallel Chopper circuit

通信中的采样钟恢复，用gardner 算法提取时钟误差。(STR for sampling Time recovery)

我做的关于广义预测控制的小程序，请大家给与一件(I have done on the generalized predictive control of a small program)

说明：  瞬时测频的基础知识、多信道法瞬时测频、鉴频法瞬时测频、干涉仪比相法瞬时测频、驻波鉴相法瞬时测频、瞬时测频编码、数字计算法瞬时测频(Instantaneous Frequency Measurement of the basic knowledge, multi-channel method of instantaneous frequency measurement, frequency Instantaneous Frequency Measurement Act, interferometer phase method than the Instantaneous Frequency Measurement, standing-wave phase Instantaneous Frequency Measurement Act, Instantaneous Frequency Measurement encoding, digital calculation of Instantaneous Frequency Measurement)

高斯信道下BPSK信号的编码和译码，带有完整的说明(Gaussian channel under BPSK signal encoding and decoding, with complete instructions)

Matlab simulation for drawing the BER plot of the LTE turbo code, using either the BCJR algorithm or the fully-parallel algorithm. Copyright (C) 2013 Robert G. Maunder The simulation can be started by running the main.m script. This can be modified to either the BCJR algorithm or the fully-parallel algorithm, as well as to the frame length N. As the simulation proceeds, it will gradually plot the BER that can be achieved using various number of decoding iterations, as selected in main.m. A greater number of decoding iterations will give a lower BER. The script main.m can also be modified to make the BER plots smoother and reach lower BERs, at the cost of making the simulation run slower.