Matlab

matlab软件上的数字图像处理基础源程序(digital image processing programs)

This is implemented by Matlab and includes all mathematical functions of Quaternion.

Weighted covariance function. Allows to give more weight on recent observations.

当圆柱型阵列的来波方向为0.5137（对应的pi 坐标）时阵列波束形成方向图(When a cylindrical array for DOA 0.5137 (corresponding to the coordinates of pi) when the array beamforming pattern)

Article about Estimating Optimal Tracking FIlter

偏最小二乘算法matlab程序，通用的，里面有使用说明(Partial least squares algorithm matlab program, universal, there are instructions)

simulation LLR and Hardware

说明：  基于RSSI的论文,讲解其发展现状和应用场合。主要为说明形式(Paper based on RSSI)

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)

说明：  Generate the CW signal