搜索资源列表
ecgprocess
- Q波和S波通常是低幅高频波,一般Q波位于S波之前,S波位于R波之后 ,由于他们是一般向下的波,所以他们的峰值点和极值是对应的。因次在检测到R波向左和向右分别搜寻到极值点,对应的就是Q波和S波。而现在我们只需要检测到R波,所以就不需要检测Q波与S波的极值点了。-Q-wave and S-wave amplitude high-frequency waves are usually low, generally located before the Q-wave S-wave, S-wave is
psnr-and-nc
- 用于计算图像的峰值信噪比PSNR和归一化相关系数NC-Peak signal to noise ratio and normalized correlation
paprofdmbpsk
- scr ipt for computing the per symbol peak to average PAPR for an OFDM transmit waveform (loosely based on IEEE 802.11A specifications) Further, Cumulative Distribution Function (CDF) plots of the PAPR is captured
jianyishiboqi
- 基于STM32示波器设计源码,基于固件库3.5版本设计,实现了波形打点显示,峰峰值测量,频率测量等功能-Based on the STM32 Oscilloscope source design, firmware version 3.5 library based design to achieve the RBI waveform display , peak to peak measurement, frequency measurement capabilities
jiao
- 在ofdm系统中,采用部分序列发降低峰值平均功率比的仿真实验-In the ofdm system, part of the sequence of hair are adopted to decrease the peak to average power ratio simulation experiment
PSNR
- 此程序用来计算灰度图像的失真程度。计算峰值信噪比(PSNR)子程序-This program is used to calculate the extent of gray image distortion. Calculate the peak signal to noise ratio (PSNR) subroutine
code
- 各种图像放大算法的比较和峰值信噪比的源码-Comparison of various image zoom algorithms and peak signal to noise ratio of the source
BLDC_1300_control-for-Ebike-code
- BLDC_1300_control for Ebike code: 使用英飞凌XMC1301单片机的基于电动自行车控制方波电机驱动程序,原理图请参照英飞凌官网提供例程,带有霍尔中断采样、电流补偿、峰值电流限制、过流过压保护等重要部分。仅供开发者设计学习参考,由此带来的商品问题将不负任何责任,谢谢!-BLDC_1300_control for Ebike code: Electric bicycle control of square wave motor driver based on
net37
- 一个在Simulink环境下,对Elman神经网络用于峰值检波的一个仿真,里面含有详细的仿真过程及结果,包括对Elman神经网络的训练结果。-One in the Simulink environment, Elman neural network simulation for a peak detector, which contains detailed simulation process and results, including the results of Elman neural
lpc
- LPC提取共振峰,由matlab平台实现,是一种提取共振峰信息的有效方法.-from Matlab platform is a resonance peak extraction of information in an effective manner.-LPC formant extraction, implemented by the matlab platform is an effective method to extract formant information.-From Ma
yuanma
- 对于元音信号的综合分析,如共振峰等,对于这方面的用户实用-For the comprehensive analysis of the vowel sound signals, such as resonance peak, etc., for the user and practical
code1
- matlab中,时频峰值滤波处理地震记录时的窗长讨论代码-matlab window length, the time-frequency peak filtering processing of seismic records of discussions code
HOMEWORK
- 用LabVIEW编制一个完整应用软件,完成以下功能: 1、产生一个正弦波,叠加一个噪声信号,从界面上可以调整噪声和信号的幅度、频率等参数,此信号作为后续分析的信号源; 2、显示信号的时域波形,点击按钮可以显示信号的幅度谱、功率谱 3、图形上可以显示光标,具有峰值跟踪功能,同时将峰值频率、幅度显示在界面上。 4、点击按钮可以计算显示信号的失真度(THD)、信噪比(SNR)、各次谐波的频率和幅度;-Preparation of a complete application using
fspecial
- 对加入椒盐噪声的图像进行均值滤波,里面附带图像,峰值信噪比,信噪比-Add salt and pepper noise on the image mean filter, which is attached to the image, the peak signal to noise ratio, SNR
medfilt2
- 对加入椒盐噪声的图像进行中值滤波,里面附带图像,峰值信噪比,信噪比-Add salt and pepper noise on the image median filtering, which comes with the image, the peak signal to noise ratio, SNR
wiener2
- 对加入高斯噪声的图像进行维纳滤波,里面附带图像,峰值信噪比,信噪比-Gaussian noise on images Wiener filter, which comes with the image, the peak signal to noise ratio, SNR
cuevelet--yinyuzhi
- 曲线波变换用于图像去噪可以很好的解决物体沿曲线边缘的特性,本算法采用硬阈值对图像进行去噪,里面包含侧视图像和峰值信噪比-Curvelet transform for image denoising can solve problems well along the curve edge features, the algorithm adopts hard thresholding for image denoising, which contains the side view image a
curvelet--ruanyuzhi
- 曲线波变换用于图像去噪可以很好的解决物体沿曲线边缘的特性,本算法采用软阈值对图像进行去噪,里面包含侧视图像和峰值信噪比-Curvelet transform for image denoising can solve problems well along the curve edge features, the algorithm used for image denoising threshold, which contains the side view image and peak si
curvelet--banruanyuzhi
- 曲线波变换用于图像去噪可以很好的解决物体沿曲线边缘的特性,本算法采用半软阈值对图像进行去噪,里面包含侧视图像和峰值信噪比-Curvelet transform for image denoising can solve problems well along the curve edge features, the algorithm used for image denoising semi soft threshold, which comprises a side view image a
curvelet--zhezhongyuzhi
- 曲线波变换用于图像去噪可以很好的解决物体沿曲线边缘的特性,本算法采用硬软折中阈值对图像进行去噪,里面包含侧视图像和峰值信噪比-Curvelet transform for image denoising can solve problems well along the curve edge features, the algorithm uses the hard and soft compromise threshold for image denoising, which contains