chapter-2

matlab code for speech recognition of single utterances

读取语音信号 对语音信号进行分帧 加矩形窗 傅立叶变换 并且实现倒谱(Read the speech signal of the voice signal framing plus Fourier transform rectangular window and realize cepstrum)

说明：  <最优化及matlab的应用>课后题的编程(Most optimized operating)

hoffman channel coding project

G-code生成器，在matlab中使用，模拟数控加工，用于生成G代码(G-code Generator can be used in Matlab to simulate computerize-numberal-control process and generate general G code.)

该程序实现的是扩展卡尔曼粒子滤波，即采用扩展卡尔曼滤波得到粒子滤波的建议分布，粒子滤波再从其中采样进行滤波。(The program implementation is the extended Kalman particle filter, that is, extended Kalman filter using the particle filter proposal distribution, the particle filter and then is filtered from one sample.)

波达方向估计一直是信号处理的经典问题，本文利用盲子空间思想，新颖独特。(DOA Estimation of signal processing has been a classical problem, we use the blind subspace thinking, innovative and unique.)

matlab上实现网格空时码（STTC）的仿真。(Simulation of trellis space time code (STTC) on matlab.)

画ROC曲线,并求取相应的pf,pd值，求AUC值的matlab代码(Draw the ROC curve, and solve the PD, PF values)

we will be addressing the major concerns in telecommunication nowadays which are channel equalization and echo cancellation using different adaptive algorithms in order to identify the most efficient methodology. There are a number of conventional algorithms available in literature and every algorithm has its own properties, however the aim of every adaptive algorithm is to achieve minimum mean square error at a high rate of convergence and with less complexity. The experimental results prove that Normalized Least Mean Square algorithm (NLMS) is the best for channel equalization