ECG-experiment

基于MATLAB的语音信号端点检测，短时能量分析，短时过零率，和GUI界面实现(aaaaa)

本程序是关于随机信号特征值提取，有界面显示，特征值包括自相关函数，和功率谱密度(This program is about random signal characteristic value is extracted, and to have the interface shows, including the autocorrelation function characteristic value, and power spectral density )

改进的小波图像维纳滤波程序，可用于图像的去噪和重构。(Wiener filtering of wavelet image improvement program can be used for image denoising and reconstruction.)

％ y=filter(sig,fmin,fmax) ％ 对信号进行理想滤波，可完成低通，带通 ％ sig为被滤波信号 ％ fmin为下限频率，当fmin为0时为低通滤波器，当fmin>0时，为带通滤波器 ％ fmax为上限频率，fmax>fmin ％ fs为信号的采样频率 ％ y为经过滤波后的信号 (％ Y = filter (sig, fmin, fmax)％ of the ideal signal filtering, to be completed by low-pass, band-pass filter％ sig for signal％ fmin is the minimum frequency, when fmin for 0:00 for the low-pass filter, when fmin > 0, for the bandpass filter％ fmax is the upper limit frequency, fmax> fmin％ fs for signal sampling frequency％ y for the filtered signal)

说明：  VQ声纹识别算法和实验. 摘要：采用线性预测倒谱系数(1inear prediction cepstrum coefficient，LPCC)作为语音的特征参数，矢量量化(vector quantity，VQ)方法进行模式匹配，探讨声纹识别以实现身份认证，并对此识别方法进行了相关的实验．通过验证，这种方法可以区分不同的说话人，并且在做说话人辨认实验时可达到较高的识别率．(VQ pattern recognition algorithms and experimental sound. Abstract: The linear prediction cepstral coefficients (1inear prediction cepstrum coefficient, LPCC) as the voice of the characteristic parameters, vector quantization (vector quantity, VQ) method of pattern matching, pattern recognition of sound in order to achieve authentication and identification methods relevant to this experiment. Validated, this method can distinguish between different speaker, and speaker identification experiments to do to reach a higher recognition rate.)

运动捕获数据周期运动，用于做运动分割或关键帧提取(Motion capture data periodic motion, used to make motion segmentation or keyframe extraction)

INDIRECT CONTROL OF DFIG

Can_1st (CAN Network demonstration with mikroE s CAN module)

Particle Swarms Optimization

说明：  动态矩阵控制MATLAB源程序，是基于阶跃响应的模型预测控制(Dynamic Matrix Control MATLAB source code is based on the step response of model predictive control)