LPR_2011

说明：  人工小波神经网络的初始化文件，已结合遗传算法，很有特色(A initial souce code for wavelet neural network,which is engaged with GA method)

波束形成也称为空域滤波，即通过一定布置的空间阵元对空间信号场进行采样，然后经过加权处理得到期望的输出结果。(failed to translate)

This is attitude control system software

Cordicc implementation using MATLAB to calculate sin cosine function also convert form polar to cartessia or cartessian to polar(this is a cordic implementation using matlab to compute sin cosine also transfer polar to cartessian vice versa)

Matlab Program that plots the rootlocus of given transfer functions

认知无线电中的主用户的能量检测，非协作检测，Rayleigh衰落信道下(Cognitive radio, primary user detection, under Rayleigh channel)

WIM2-ITU的Matlab 文档，很有借鉴性(WIM2-ITU Matlab documentation)

将MATLAB源文件编译成可执行程序的步骤(MATLAB source files will be compiled into an executable program steps)

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)

powell code for matlab