AirSWOT---JPLs-Earth-Science-Airborne-Program

北邮研究生信息论，许文俊老师，编程作业。离散信道容量的迭代实现。(Beijing University of Posts and Telecommunications graduate information theory, Xu Wenjun teacher, programming assignments. Iterative discrete channel capacity to achieve.)

本文对变步长(VSS) 自适应滤波算法进行了分析,针对输入信号高度相关时算法收敛速度下降导致性能下降 的问题,提出了一种解相关变步长归一化LMS 自适应算法,引入相关性原理,使得算法保持良好的收敛性能。计算机仿真 结果与理论分析相一致(In this paper , we discuss and analyze the variable step2size adaptive algorithm(VSSLMS) ,in which the descent of it s convergence speed leads to the reduction of performance when input signals are heavily correlated . As a result , we propose an uncorrelated variable step2size normalized LMS adaptive algorithm. Due to the principle of correlation ,the algo2 rithm can achieve good performance. The simulations agree to the theoretical analysis.)

Steganography using Matlab

用Matlab实现风车的转动，不错很实用的程序(The rotating windmill with Matlab, very good and practical procedures)

本实验语音库为免费的柏林情感语音库，其采样频率为16KHZ，16bit量化。该语音库共有500 句情感语音信号，分别由十名专业演员(5 男，5 女)在不同情感状态下（高兴、愤怒、平静、悲伤、害怕、厌烦、憎恨）朗读十句不同文本的德语组成。本实验选取其中的部分情感（高兴、愤怒、悲伤）加以识别。仿真实验环境为MATLAB7.0。 实验选取的情感特征为短时平均能量、短时平均幅度、基频和短时过零率。为了降低不同人在表达不同情感时的个人差异造成的影响，本文实验过程中将提取的情感特征进行归一化处理。归一化采取将同一个人的三种情感语音信号的情感特征放在一起归一化处理，并将归一化后的情感特征作为KNN分类器的训练样本和测试样本。 该实验使用了传统的KNN算法和改进算法两种识别方式，通过实验结果对比了各自的特点。 (This experiment YuYinKu for free Berlin YuYinKu emotion, the sampling frequency for 16 KHZ, 16 bit quantification. The YuYinKu 500 words of emotional speech signal, respectively by ten professional actors (5 male, five female) in different emotional state (happy, anger, sadness, fear, calm, bored, hate) read ten sentences in different text of the German. This experiment selection of part of the emotions (joy, anger, sadness) is recognized. The simulation experiment environment for MATLAB7.0. The selection of emotional characteristics for short-term average energy, short-term average amplitude, frequency, and the short zero rate. In order to reduce the different people in different emotional expression of the impact of individual differences, the experiment process will extract emotional characteristics is normalized. The normalized will take the same three kind of emotional speech signal emotional features normalized put together, and after the normalized the emotional characteristics)

Series and Prallel Feedbaack

自己写的matlab程序，用kay方法进行频率估计，已通过验证。(kay matlab)

实验matlab实验matlab实验matlab实验matlab(experimental matlab experimental matlabexperimental matlab experimental matlab)

PRTool 5,matlab模式识别工具箱-PRTool 5 ,A Matlab Toolbox for Pattern Recognition(PRTool 5, matlab Pattern Recognition Toolbox-PRTool 5, A Matlab Toolbox for Pattern Recognition)

MATLAB最优化问题的牛顿拉格朗日求解算法(matlab: Newton-Lagrengge solver algothrim for a optimal problem )