MATLAB Signals Theory- Linear Time - Inveriant Discrete Time System

A linear time-invariant discrete-time system has transfer function h(z)=((z^2)-z-2)/((z^2) + 1.5z-1) a. Use MATLAB to obtain the poles of the system. Is the system stable? Explain. b. Compute the step response. This should be done analytically, but you can use MATLAB commands like conv and residue. c. Plot the first seven values of the step response. Is the response increasing or decreasing with time? Is this what you would expect, and why?

Use MATLAB and simulink to solve three questions on linear time-invariant discrete-time system.

(la_7.doc) A linear time-invariant discrete-time system has transfer function H (z) = z² - z – 2 ----------- z² - 1.5z - 1 a. Use MATLAB to obtain the poles of the system. Is the system stable? Explain. b. Compute the step response using MATLAB commands like conv and residue. c. Plot the first seven values of the step response. Is the response increasing or decreasing with time? Is this what you would expect, and why? (la_8.doc) Question 1 a. Plot the Bode plots (both magnitude and phase) for the given transfer function H (s) = 1000(s + 1)/(s+20)² Use the command semilogx to make your plots. b. What kind of filter is this? What is the ba... click for more

Fast Fourier Transform

I need help completing this assignment. It involves performing a few computations using Matlab. I have completed a,b,and c. This is the code I have so far: load handel; plot(linspace(0,9,73113,y); sound(y); Y=fft(y). P=abs(Y); plot(P); I am stuck when I get to letter d,e, and f. I don't understand how to generate a new sequence with the same length as Y[k]. Also, is the code I have written correct?

Plot Magnitude of a Sequence in Matlab

Consider a sequence x[n]={1,-1,1,-1}. I need help in determining how to use the function fft to find the DFT coefficients X[k] of x[n] in Matlab. Also, how would you plot the magnitude of X[k] in Matlab?

Fourier Transform

Please see attachment. 1. What is the Fourier Transform for the convolution of sin(2t)*cos(2t). 2. Compute the inverse Fourier transform for X(w)= sin^2*3w 3. A continuous time signal x(t) has the Fourier transform X(w) = 1/jw+b where b is a constant. Determine the Fourier transform for v(t) = x*(5t-4)