代码搜索：Num
找到约 10,000 项符合「Num」的源代码
代码结果 10,000
www.eeworm.com/read/439446/7708511
m p6_2.m
% Program P6_2
% Parallel Form Realizations of an IIR Transfer
num = input('Numerator coefficient vector = ');
den = input('Denominator coefficient vector = ');
[r1,p1,k1] = residuez(num,den);
[r2,p
www.eeworm.com/read/439446/7708539
m noisepwr2.m
function nvar = noisepwr2(num,den)
% Computes the approximate output noise variance due
% to input quantization of a digital filter
% by summing the square of the impulse response samples
%
% num and
www.eeworm.com/read/439446/7708545
m noisepwr1.m
function nvar = noisepwr1(num,den)
% Computes the output noise variance due
% to input quantization of a digital filter
% based on a partial-fraction approach
%
% num and den are the numerator and den
www.eeworm.com/read/439446/7708559
m p2_5.m
% Program P2_5
% Compute the impulse response y
clf;
N = 40;
num = [2.2403 2.4908 2.2403];
den = [1 -0.4 0.75];
y = impz(num,den,N);
% Plot the impulse response
stem(y);
xlabel('Time index n'); ylabel
www.eeworm.com/read/439446/7708574
m p8_4.m
% Program P8_4
num = remez(9, [0 0.3 0.5 1],[1 1 0 0]);
disp('Filter coefficients are ');disp(num);
impres = filter(num,1 ,[1 zeros(1,9)]);
disp('Actual filter coeffs are '); disp(impres);
www.eeworm.com/read/439446/7708575
m p8_1.m
% Program P8_1
Wp = [0.4 0.5]; Ws = [0.1 0.8]; Rp = 1; Rs = 30;
[N1, Wn1] = buttord(Wp, Ws, Rp, Rs);
[num,den] = butter(N1,Wn1);
disp('Numerator coefficients are ');disp(num);
disp('Denominator coeffi
www.eeworm.com/read/439446/7708584
m p7_1.m
% Program P7_1
% Design of a Butterworth Bandstop Digital Filter
Ws = [0.4 0.6]; Wp = [0.2 0.8]; Rp = 0.4; Rs = 50;
% Estimate the Filter Order
[N1, Wn1] = buttord(Wp, Ws, Rp, Rs);
% Design the
www.eeworm.com/read/439446/7708589
m p6_2.m
% Program P6_2
% Parallel Form Realizations of an IIR Transfer
num = input('Numerator coefficient vector = ');
den = input('Denominator coefficient vector = ');
[r1,p1,k1] = residuez(num,den);
www.eeworm.com/read/439446/7708617
m noisepwr2.m
function nvar = noisepwr2(num,den)
% Computes the approximate output noise variance due
% to input quantization of a digital filter
% by summing the square of the impulse response samples
%
% num
www.eeworm.com/read/439446/7708622
m noisepwr1.m
function nvar = noisepwr1(num,den)
% Computes the output noise variance due
% to input quantization of a digital filter
% based on a partial-fraction approach
%
% num and den are the numerator an