Assignment-Sharp-3-Speech-Processing

采用一种快速收敛变步长LMS（Least mean square ） 自适应最小均方算法matlab源程序，其中算法所做的工作是用FIR 滤波器的预测系统，对IIR系统进行预测，如果阶数越高越能逼近被预测系统。(Using a fast convergence of variable step size LMS (Least mean square) adaptive least mean square algorithm matlab source, one of algorithm is the work done by FIR prediction filter systems, prediction of IIR systems, if the higher order the more it can be prediction system approximation.)

电脑上保存的一些vc和MATLAB混合编程的资料，其中还有vc和matcom接口的视频演示。(Computer, save some of the vc and MATLAB mixed programming information, which are vc and matcom interface video presentation.)

粒子群优化算法演示，演示2d粒子群优化算法(Particle Swarm Optimization demonstration, demo 2d particle swarm optimization algorithm)

说明：  在网上下载的好用的傅里叶变换程序 时域变频域信号分析(Fourier transform program)

根据系统传递函数求系统时域性能指标，输入为阶跃信号(Transfer function evaluation system according to the system performance in time domain, the input step signal)

近红外光谱平滑去噪算法，由于光谱仪得到的光谱信号中既有有用的信息，同时也叠加着随机误差，即噪声，而这种方法能取到很好的去噪作用。(Nir denoising smoothing algorithm, as a result of the spectrometer for spectrum signal in both the useful information, and superposition of the random error, the noise, and this method can get very good denoising effect. )

先对语音信号进行采集、播放，分析其频谱，对该信号源添加噪声，再播放音频并分析频谱，然后分别通过IIR低通、带通滤波器和FIR低通、带通滤波器，分别播放音频和得到滤波后的频谱。(Firstly， voice signal acquisition, play, analyze its spectrum to add noise to the signal source, and then play the audio spectrum analysis, and then were by IIR low-pass, band-pass filter and FIR low-pass, band-pass filters, respectively, play audio and get the spectrum after filtering.)

MATLAB e books for beginner

matlab/simulink环境下仿真的异步电动机矢量控制，运行良好，基础系统，可供初学(matlab/simulink environment simulation of induction motor vector control, runs well, base system, for beginners)

弹道计算工具，包括文档说明，和相关源代码，好东西(Ballistic calculation tools, including documentation, and related source code, good things)