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IIR滤波器设计
- 现有一个信号：x(n)=1+cos(π*n/4)+ cos(2*π*n/3)设计及各种数字滤波器以达下列目的： 低通滤波器，滤除cos(2*π*n/3) 的成分，即想保留的成分为1+cos(π*n/4) 高通滤波器，滤除1+cos(π*n/4) 的成分，即想保留的成分为cos(2*π*n/3) 带通滤波器，滤除1+cos(2*π*n/3) 的成分，即想保留的成分为cos(π*n/4) 带阻滤波器，滤除cos(π*n/4) 的成分，即想保留的成分为1+cos(2*π*n/3)
ofdmphn_Evm
- 利用Matlab编程模擬phase noise對OFDM signal的影響,希望供大家参考,Error vector magnitude (EVM) -simulation using Matlab programming phase noise of the impact of the OFDM signal hope that for your reference, Error vector magnitude (EVM)
band-pass-filter 线性相位FIR带通滤波器
- 用MATLAB函数fir1设计一个具有如下指标的线性相位FIR带通滤波器：阻带截止频率为0.55pi 和0.85pi，通带截止频率为0.65pi和 0.75pi，最大通带衰减为0.2dB，最小阻带衰减为42dB。分别利用下面的窗函数来设计滤波器：汉宁窗、汉明窗、布莱克曼窗。对于每种情况，给出其冲激响应系数并画出设计的滤波器的幅频响应。-Designed with a MATLAB function with the following indicators fir1 linear phase F
ST
- 本程序是基于S变换的短时电能质量扰动检测方法实现的，用于分析电压暂降的幅值、相位跳变、持续时间和谐波含量进行分析-This procedure is based on the S transform short-term power quality disturbance detection method implemented for the analysis of voltage sag magnitude, phase transition, duration, and harmonic
EVM
- 该算法是经典的信噪比估计算法——误差矢量幅值法，通过计算接收信号中同相分量和正交分量的二、四阶矩，该算法能够很好的估计信号的信噪比-The algorithm is a classic signal to noise ratio estimation algorithm- the error vector magnitude method, by calculating the received signal with the phase component and quadrature com
FIRWindowstechnique.m
- scr ipt for designing FIR filter low pass with lineal phase & cut-frecuency equal to obtained from a IRR Filter. Windows used: a)Rectangular window. b)Hamming window. c)Kaiser window. "Calculus of the windows are obtained
IIRButterworthfilter.m
- scr ipt to design an IIR Filter low pass using Butterworth & lineal transformation to convert from analogic to digital a prototype filter. by actinio vjgonzalezg@gmail.com :) It plots: 1-Frecuency response of the filter imp
fftplot
- compute and/or plot the magnitude in dB and phase in degrees of the FFT data in Y
ex03
- 信号的时间宽度和频率带宽反映的是 、 围绕 和 的扩展程度，信号的带宽（ ）完全由幅度、幅度的导数及相位的导数所决定。称T和B分别为信号 的时宽和带宽，TB称为时宽－带宽积,。此程序用于计算信号的时间宽度和频率带宽。-Signal time width and frequency bandwidth of reflected that and it spreads around the signal bandwidth () completely by the magnitude, amplit
fft
- 产生一个正弦衰减曲线，进行快速傅里叶变换，并画出幅值图，相位图，实部图，虚部图-Decay to produce a sine curve, the fast Fourier transform, and draw magnitude diagram, phase diagram, the real figure, the imaginary part of Fig.
fftfenxi
- 对一个模拟信号进行fft变换，并求出其幅值图和相位图，对于fft初学者会有一定的用途-An analog signal fft transform, and find its magnitude and phase diagrams, for beginners there will be some use of fft
power_3phsignaldq
- A Discrete 3-Phase ProgrammableSource block is used to generate a 1 pu, 15 degrees positive sequence voltage. At t = 0.05 s the positive sequence voltage is increased to 1.5 pu. At t = 0.1 s an unbalance is introduced by adding a 0.3 pu negative sequ
phae1
- suppose we r having ECG disease data in time-domain plot, with the help of these code. we generate the magnitude diagram of the ECG.by using continuous wavelet transform.at different scale also we can plot phase,contour plot.-suppose we r having ECG
FIRBSF_v3
- Design a linear phase minimum order FIR Band Stop filter to stop the frequency band 0.45π to 0.55π with atleast 60dB attenuation at the edges. Further -3dB frequencies are required to be at 0.3π and 0.7π. 1. Plot the frequency response of the psue
FFT_angle_A
- 利用fft来估计幅值和相位，打算和随机共振一起使用的-Use fft to estimate the magnitude and phase, intended to be used together and stochastic resonance
freqz_m
- 求取系统的绝对幅度响应、相对的db值幅度响应、相位响应和群延时响应的函数-The absolute magnitude of the strike system response, a function of the relative a dB value amplitude response, phase response and group delay response
wzFunFFT90
- 频谱分析通用程序，输入为时域信号，返回频域信号（幅值与相位）-Spectrum analysis of the general program, the input time-domain signal, to return to the frequency domain signal (magnitude and phase)
MAGNITUDE-AND-PHASE-RESPONSE-OF-BANDPASS-AND-STOP
- MAGNITUDE AND PHASE RESPONSE OF BANDPASS AND BANDSTOP FILTER
MAGNITUDE-AND-PHASE-RESPONSE-OF-HIGHPASS-AND-LOWP
- MAGNITUDE AND PHASE RESPONSE OF HIGH AND LOWPASS FILTER
replacing-phase-and-magnitude
- replacing phase and magnitude of 2 images,to show the importance of phase of images