chap3

Tabu search implementation in matlab

Matlab中提供了一种快速实现多项式拟合的方法函数polyfit()函数， 其格式：p=polyfit(x,y,n)其中x，y为样本向量，n为拟合的多项式的项数。下面拟f(x)=sinx+x,在区间【-3,3】上以0.5为间隔进行拟合。(Matlab provides a fast way to achieve polynomial fitting function polyfit () function, The format: p = polyfit (x, y, n) where x, y as the sample vector, n is the number of items of polynomial fitting. The following proposed f (x) = sinx+ x, the interval-3,3】 【intervals on the order of 0.5 to fit.)

粒子滤波程序，用于对运动目标的运动轨迹进行预测，并实现对目标的跟踪(PF example, for moving target location forecasitng & target tracking)

说明：  实现了对函数的奇偶分频的频谱分析，DFT什么的，包括了4个基础的信号处理实验代码(To achieve parity of function analysis of frequency spectrum)

here is a good code for reay please check it out guys

neural network program with 1

IEEE 802.11a系统OFDM仿真。假设OFDM系统物理层采用802.11a系统物理层参数，其中，1个长训练符号与6个OFDM数据符号构成1帧，信道为单径瑞丽衰落信道，接收端采用理想信道估计和利用训练符号进行信道估计时的误比特性能(IEEE 802.11a system OFDM simulation Assuming that the OFDM system physical layer uses the 802.11a physical layer parameters, among them, 1 long training symbols and 6 OFDM data symbol consisted of 1 frames, the channel into a single path Ruili fading channel, the receiver uses the ideal channel estimation and utilizes the training symbols to estimate channel bit error performance of the)

神经网络进行语音识别：/enframe.m，该函数将输入向量分为固定长度固定重叠量的帧。/SampleCreate.m,将取所有音频的mfcc系数处理成神经网络函数所需的输入格式(Neural networks for speech recognition)

本文对@:AB及其衍变模型进行了分析和总结，提出了直交门槛一般化自回归条件异方差#< 90 8 17C -D@:AB*模型。通过模型平稳性测试、@:效果检定、@:AB效果检定、模型阶数鉴定、模型参数估计与模型诊断对模型进行 评估，作者认为这种模型在估计投资组合资产收益的波动性上优越@:AB及其衍变模型。 (In this paper, @: AB model and its evolution are analyzed and summed up the proposed DC-AC threshold generalized autoregressive conditional heteroskedasticity# < 90 8 17C-D @: AB* model. Smooth adoption of the model testing, @: the effect of test, @: AB test the effect of model order identification, model parameter estimation and model diagnostics to assess the model, the authors suggest that this model portfolios in estimating the volatility of capital gains on the superior @ : AB and its evolution model.)

说明：  这是一部关于学习Matlab7.0版的编程书籍，比其他版本更详细(This is a version of the program on learning Matlab7.0 books, more than any other version)