搜索资源列表
Butterworth
- 基于最大平坦特性的巴特沃斯(Butterworth)函数的逼近函数数字滤波器设计（包括高通，低通，带通，带阻）-Based on the maximum flatness of Butterworth (Butterworth) function approximation function digital filter design (including high pass, low pass, band pass, band stop)
Caure
- 基于通带和阻带都有波动的椭圆（Caure）函数的滤波器设计（包括低通，高通，带通，带阻）-Filter design based on the elliptic (caure) function with both passband and stopband fluctuations (including low pass, high pass, band pass, band stop)
Chebyshev
- 基于等波动特性的切比雪夫(Chebyshev)函数的数字滤波设计（包括ChebyshevⅠ型和ChebyshevⅡ型的低通，高通，带通，带阻滤波器）-Based on the wave characteristics of Chebyshev design of digital filter function (low pass, including Chebyshev type I and type II Chebyshev high pass, band pass, band stop fi
ofdm_2
- OFDM仿真包括信号源,卷积码编码，交织，qpsk调制，IFFT，组帧，上采样，通过FIR滤波器 通过高斯信道，再经过低通FIR滤波器，下采样，拆帧，FFT，qpsk解调，接收数据；计算误比特率-OFDM simulation including the signal source, sampling convolutional encoding, interleaving, QPSK modulation, IFFT, frame,, through the FIR filter throu
bbb
- 二．二维小波分解与重构程序说明 1.主函数 mymain.m:通过调用所写的函数对信号进行二维小波分解与重构 main.m:利用MATLAB中小波变换函数实现 2.调用的子函数 function [x2,cA,cV,cH,cD] mydwt2(x,Lo_D,Hi_D) 函数mydwt() 对 x 进行二维小波分解 输入参数为x,Lo_D,Hi_D x为输入信号，Lo_D为低通滤波器,Hi_D为高通滤波器 输出参数：cA,cV,cH,cD —— 是
qpskl
- 基于Simulink的QPSK的调制解调，高斯信道，采样和保持，判决门限，低通滤波，误码率统计等，建议采用MATLAB新版本。-Based on Simulink QPSK modulation and demodulation, Gaussian channel, sampling and hold, decision threshold, low-pass filter, bit error rate statistics, the proposed new version of MATLA
picture-filter
- 低通、高通、带阻滤波器进行介绍并进行具体滤波操作，比较这几种滤波器的图像处理效果。-Low pass, high pass, band-stop filter described filtering operation, and specifically, Comparative effects of these types of image processing filters.
filter_Demo1
- 仿真有噪声数据，并进行滤波器设计和滤波展示，实现低通，高通，带通；-Simulation of noise data, and filter design and filter display, to achieve low-pass, high-pass, band pass
012
- 包含理想低通滤波、巴特沃斯低通滤波和高斯低通滤波程序。并且每个程序包含两个不同截止频率的滤波器。-Including ideal low-pass filtering, Bartworth low-pass filtering and Gaussian low-pass filtering procedures. And each program contains two different cutoff frequency filters.
Gui_quwu
- 图像去噪，采用GUI界面形式，里面包括高斯滤波，低通滤波和理想滤波三种方法。-Image denoising, using GUI interface form, which includes Gaussian filtering, low-pass filtering and ideal filtering three methods.
XXBKGN2
- 可对图像分别进行一层也可以对图像进行低通和高通滤波处理,-Respectively in an image can be a layer can also be for low-pass and high-pass filtering processing,
geatures
- 对图像进行小波变换,功能：高通滤波,低通滤波,图像复原,增强,融合！-Wavelet transform for image features: high pass filtering, low-pass filtering, image restoration, enhancement, fusion!
085108
- 该程序可以对图像进行小波变换,高通滤波,低通滤波以及逆变换,-The program can be carried out on the image wavelet transform, high-pass filtering, low-pass filtering and inverse transformation,
yinxianggaoditonglvbo
- 这是一个音像高低通滤波MATLAB代码，其中包括巴特沃斯低通滤波，高斯高通滤波，高斯低通滤波，理想矩形低通滤波，理想圆形低通滤波-This is a sound image high and low pass filter MATLAB code, which includes Butterworth low-pass filter, Gaussian high-pass filter, Gaussian low-pass filter, ideal rectangular low-pass f
lvbo
- 简单的滤波代码，包含高通滤波，低通滤波，带通滤波和带阻滤波。- U7B80 u5E5 u6E4 u6E4 u6E1 u6E1 u6E2 U5E26 u963B u6EE4 u6CE2 u3002
Image-enhancement
- 主要用于图像增强，包括巴特沃兹低通滤波、巴特沃兹高通滤波、中值滤波、直方图均衡化、直方图规定化。已运行成功。-Mainly used for image enhancement, including Bartwarts low-pass filter, Butterworth high-pass filter, median filter, histogram equalization, histogram specification. Has been running successfully
FIR
- 1、验证窗函数 N 变化时，验证其频谱主瓣副瓣比、主瓣宽度的变化。 a)矩形窗函数的 N 变化时，验证其其频谱主瓣副瓣幅度比基本不会发生变化， 而主瓣宽度将会变窄。这说明，当用矩形窗函数设计滤波器时，增大 N 不能使 得阻带衰减减小，但能够减小过渡带。 b)再选取其他的窗如 hamming/hanning 窗，验证当 N 变化时，其频谱主瓣宽 度变化、主瓣副瓣比值变化情况。 2、用窗函数法设计线性相位 FIR 低通，通带截止频率 wp=0.5PI, 阻带截止频率 ws=0.6PI,
显示加速度计和陀螺仪的10位原始数据
- 显示加速度计和陀螺仪的10位原始数据 #include <STC12C5A60S2.H> #include <stdio.h> //Keil library #include <INTRINS.H> // 定义51单片机端口 //**************************************** sbit SCL=P2^0; //IIC时钟引脚定义 sbit SDA=P2^1; /
MAX262
- max262模块程控 高通滤波 低通滤波 带通滤波(max262 Module program contro High pass filter, low-pass filter, band pass filter)
smooth-filter
- 高斯频域滤波，各向异性滤波，低通滤波，作为图像平滑处理(gaussian filter in frequency field)