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Description: CIC滤波器matlab代码 D=5; r=D; fs=1e5; S3_cic=conv(conv(ones(1,D),ones(1,D)),ones(1,D)); %三个单级卷积 [h3,f3]=freqz(S3_cic,1,1000,fs); plot(f3/(fs/2),20*log10(abs(h3))-max(20*log10(abs(h3))),'r','LineWidth',1.4) ylabel('\fontsize{12}\bf幅度响应（dB）') xlabel('\fontsize{12}\bf归一化频率(\times\pi rad/sample)') grid; box on; axis([0 1 -80, 0])
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Author: 530228758@qq.com |
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Description: 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
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％db为相对振幅(dB)
％mag为绝对振幅
％pha为相位响应
％grd为群延时
％w为频率样本点向量
％b为Ha(z)分子多项式系数(对FIR而言，b=h)
％a为Hz(z)分母多项式系数(对FIR而言，a=1)
％-strike rate system in response to the absolute and relative value range db response phase and group delay response to the response function%% db relative amplitude (dB)% mag as the absolute amplitude% of MTS Phase Response% for the group delay grd% w frequency of sample points for the vector b Ha% (z) elements polynomial coefficient (F IR, b = h)% for a Hz (z) denominator polynomial coefficient (right FIR, a = 1)%
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Author: 吴江华 |
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Description: 根据语音信号的特点给出有关滤波器的性能指标：1）低通滤波器性能指标，fp=1000Hz，fc=1200 Hz， As=100dB，Ap=1dB；2）高通滤波器性能指标，fc=2800 Hz，fp=3000 Hz As=100dB，Ap=1dB；3）带通滤波器性能指标，fp1=1200 Hz，fp2=3000 Hz，fc1=1000 Hz，fc2=3200 Hz，As=100dB，Ap=1dB。用IIR对其分析，最后，利用MATLAB中的函数freqz画出各滤波器的频率响应。-This article according to the IIR filter and the FIR filter characteristic, uses the bilinearity method of transformation under the MATLAB bad boundary to design IIR and to design the FIR numeral filter separately with the window box number, and carries on the analysis to the gathering pronunciation signal, and finally gives IIR and FIR to the pronunciation filter effect.
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Size: 3072 |
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Description: 根据语音信号的特点给出有关滤波器的性能指标：1）低通滤波器性能指标，fp=1000Hz，fc=1200 Hz， As=100dB，Ap=1dB；2）高通滤波器性能指标，fc=2800 Hz，fp=3000 Hz As=100dB，Ap=1dB；3）带通滤波器性能指标，fp1=1200 Hz，fp2=3000 Hz，fc1=1000 Hz，fc2=3200 Hz，As=100dB，Ap=1dB。用IIR对其分析，最后，利用MATLAB中的函数freqz画出各滤波器的频率响应。-This article according to the IIR filter and the FIR filter characteristic, uses the bilinearity method of transformation under the MATLAB bad boundary to design IIR and to design the FIR numeral filter separately with the window box number, and carries on the analysis to the gathering pronunciation signal, and finally gives IIR and FIR to the pronunciation filter effect.
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Description: 幅频响应特性图[h1,w]=freqz(b1,1,N,1)
[h2,w]=freqz(b2,1,N,1) -Amplitude frequency response characteristics of Figure
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Size: 28672 |
Author: 汪月霞 |
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Description: 计算连续时间系统频率响应的函数，对matlab中自带的freqz函数进行了优化-Modified version of freqz subroutine
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Size: 1024 |
Author: 张伟 |
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Description: 经由正、负离散时间傅立叶变换表达式是信号分析的一个关键部分。
X( ) （3.9） （3.10）
当 LTI 系统用于滤波的时候，作为冲激响应离散时间傅立叶的频 率响应，提供了 LTI 系统间接的描述。离散时间傅立叶变换 X（ ）是 w 的周期复值函数，周期总是 2π，并且基周期通常选在区间[-π，π] 上。对离散时间傅立叶变换 DTFT 来说有两个问题： 1. DTFT 的定义对无限长信号是有效的。 2. DTFT 是连续变量 w 的函数 在 MATLAB 中， 任何信号 （向量） 必须是有限长度的， 所以 DTFT 无法用 MATLAB 直接计算。当能从变换定义式推导出解析式并计算 它时， 可以用 MATLAB 计算。 第二个问题是频率抽样问题。 MATLAB 擅长在有线网络点上计算 DTFT，通常选足够多的频率以使绘出的图 平滑，逼近真实的 DTFT。3.计算DTFT需要两个函数，MATLAB的freqz函数计算无限长信号，dtft（h，H）函数计算有限长信号的DTFT。-Passive and negative discrete Fourier transform expressions are a key part of signal analysis.
X () (3.9) (3.10)
When the LTI system is used for filtering, the frequency response of the discrete time Fourier as an impulse response provides an indirect description of the LTI system. Discrete time Fourier transform X () is the periodic complex function of w, the period is always 2π, and the base period is usually selected in the interval [-π, π]. There are two problems with the discrete-time Fourier transform DTFT: 1. The definition of DTFT is valid for infinite length signals. 2. DTFT is a function of continuous variable w In MATLAB, any signal (vector) must be finite length, so DTFT can not be directly calculated using MATLAB. When you can derive the analytic the transformation definition and calculate it, you can use MATLAB to calculate. The second problem is frequency sampling. MATLAB is good at calculating DTFTs at wired network points and usually selecting enough frequen
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Author: 张丽丽 |
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