FFT

第四版的proakis的数字通信配套matlab源程序--第一章部分(matlab code for digital communication <4th edition>)

有关PAPR的程序，希望大家好好学习，天天向上，努力提高自己(PAPR of the program on, I hope you study hard, every day, strive to improve their)

本光盘为《详解MATLAB快速入门与应用》一书的配套光盘，包括以下内容： 1.“sample”文件夹：提供了本书各章范例的源程序。(The CD is " Getting Started with MATLAB Detailed application," a book supporting the CD, including the following:. 1 " sample" folder: each chapter provides examples of the book source.)

利用总体变分法实现图像去噪，内有详细说明和事例(Variational method used to achieve the overall image denoising, with detailed descriptions and examples)

压缩包里有OFDM信号的分析，频谱，星座图，加窗(Compression bag with OFDM signal analysis, spectrum, constellation, plus window)

语音变速变调matlab程序，包含计算语音周期的函数m文件(Voice shifting tone matlab procedures, including voice-cycle calculation function m-file)

均匀介质二维声波数值模拟，采用reynold边界条件。带有公式及参考文献。带有速度模型以及雷克子波函数，解压后直接运行就可以(2D acoustic numerical simulation of a homogeneous medium, using the reynold boundary conditions. With formulas and references. With the velocity model and the the Ricker wave function, and can run directly after decompression)

半监督学习(Semi-Supervised Learning，SSL)是模式识别和机器学习领域研究的重点问题，是监督学习与无监督学习相结合的一种学习方法。半监督学习使用大量的未标记数据，以及同时使用标记数据，来进行模式识别工作。当使用半监督学习时，将会要求尽量少的人员来从事工作，同时，又能够带来比较高的准确性，因此，半监督学习目前正越来越受到人们的重视。(Semi-Supervised Learning (SSL) is a key issue in the field of pattern recognition and machine learning. It is a learning method combining supervised learning with unsupervised learning. Semi-supervised learning uses a large number of unlabeled data, as well as labeled data, for pattern recognition. When using semi-supervised learning, it will require as few people as possible to work, and at the same time, it can bring relatively high accuracy. Therefore, semi-supervised learning is receiving more and more attention.)

This program print pattern for circlar Array (uniform) Antenna

自己写的用matlab读取YUV文件,并分帧保存.生成一个N维矩阵(N是总帧数),一维就是一帧的数据. Y U V分别保存.(wrote it myself using Matlab YUV read documents, preservation and framing. Generating an N-dimensional matrix (N is the total frame count). is a one-dimensional data. Y U V were preserved.)