Introduction The Riemannian Sum is a discrete-time approximation of integration (which is a continuous time operation). The discrete-time approximation is useful because it allows integration to be performed on computer systems which are based on digital electronics. Digital electronics can only have discrete states (1s and Os) therefore all continuous-time signals are represented as a discrete-time signals on a computer system. Knowledge of the following topics is required to complete this assessment: Sampling - Converting x(t) to x[n] Converting between sample number (n) and time taken to reach that sample. This is discussed in Lecture 1. Nyquist Sampling Theorem - Discussed in Lecture 1. ● ● ● Overall Objective The objective for this assessment is for the student to write a C/C++ program that will generate a signal x[n]. The values for each sample of the signal and the value of the time (t) will be sent to a text file. This text file will then be used in MS Excel to plot the signal. The area under the signal (between 2 specified points in time) will then be calculated (in the C/C++ program) using the Riemannian Sum. This answer will be printed on the output window of the program. For this assessment a constant sampling time of 1ms will be used. Detailed Specification The C/C++ program will consist of 3 functions, these are: generateSignal (double* x_ptr, double t_start, double t_end) ● plotSignal (double* x_ptr) riemannianSum(double x_ptr) ● ● Generating the signal The function generateSignal(...) will be used generate the samples/values of x[n]. The signal will be generated from t = 0 up to t = (100ms + At) and At = 1ms. The signal to be generated is x(t) = sin(wt), where w = 2 nf and f = 50 Hz. You are free to declare any variables you may need inside this function, such as: pi, t, omega and n.
Introduction The Riemannian Sum is a discrete-time approximation of integration (which is a continuous time operation). The discrete-time approximation is useful because it allows integration to be performed on computer systems which are based on digital electronics. Digital electronics can only have discrete states (1s and Os) therefore all continuous-time signals are represented as a discrete-time signals on a computer system. Knowledge of the following topics is required to complete this assessment: Sampling - Converting x(t) to x[n] Converting between sample number (n) and time taken to reach that sample. This is discussed in Lecture 1. Nyquist Sampling Theorem - Discussed in Lecture 1. ● ● ● Overall Objective The objective for this assessment is for the student to write a C/C++ program that will generate a signal x[n]. The values for each sample of the signal and the value of the time (t) will be sent to a text file. This text file will then be used in MS Excel to plot the signal. The area under the signal (between 2 specified points in time) will then be calculated (in the C/C++ program) using the Riemannian Sum. This answer will be printed on the output window of the program. For this assessment a constant sampling time of 1ms will be used. Detailed Specification The C/C++ program will consist of 3 functions, these are: generateSignal (double* x_ptr, double t_start, double t_end) ● plotSignal (double* x_ptr) riemannianSum(double x_ptr) ● ● Generating the signal The function generateSignal(...) will be used generate the samples/values of x[n]. The signal will be generated from t = 0 up to t = (100ms + At) and At = 1ms. The signal to be generated is x(t) = sin(wt), where w = 2 nf and f = 50 Hz. You are free to declare any variables you may need inside this function, such as: pi, t, omega and n.
Introductory Circuit Analysis (13th Edition)
13th Edition
ISBN:9780133923605
Author:Robert L. Boylestad
Publisher:Robert L. Boylestad
Chapter1: Introduction
Section: Chapter Questions
Problem 1P: Visit your local library (at school or home) and describe the extent to which it provides literature...
Related questions
Question
![Introduction
The Riemannian Sum is a discrete-time approximation of integration (which is a continuous
time operation). The discrete-time approximation is useful because it allows integration to be
performed on computer systems which are based on digital electronics. Digital electronics
can only have discrete states (1s and Os) therefore all continuous-time signals are
represented as a discrete-time signals on a computer system.
Knowledge of the following topics is required to complete this assessment:
Sampling - Converting x(t) to x[n]
Converting between sample number (n) and time taken to reach that sample. This is
discussed in Lecture 1.
Nyquist Sampling Theorem - Discussed in Lecture 1.
Overall Objective
The objective for this assessment is for the student to write a C/C++ program that will
generate a signal x[n]. The values
(t) will be sent to a text file. This text file will then be used in MS Excel to plot the signal.
each sample of the signal and the value of the time
The area under the signal (between 2 specified points in time) will then be calculated (in the
C/C++ program) using the Riemannian Sum. This answer will be printed on the output
window of the program.
For this assessment a constant sampling time of 1ms will be used.
Detailed Specification
The C/C++ program will consist of 3 functions, these are:
generateSignal(double* x_ptr, double t_start, double t_end)
plotsignal (double* x_ptr)
riemannianSum(double x_ptr)
Generating the signal
The function generateSignal.) will be used generate the samples/values of x[n]. The
signal will be generated from t = 0 up to t = (100ms + At) and At = 1ms. The signal to
be generated is x(t) = sin(wt), where w = 2 uf and f = 50 Hz. You are free to declare
any variables you may need inside this function, such as: pi,t, omega and n.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fd5c7675d-aa7f-4743-b5fb-fd18075f0eb0%2Ff1a98de7-aedc-4d81-a1e4-365a40018567%2Fz7qet7i_processed.jpeg&w=3840&q=75)
Transcribed Image Text:Introduction
The Riemannian Sum is a discrete-time approximation of integration (which is a continuous
time operation). The discrete-time approximation is useful because it allows integration to be
performed on computer systems which are based on digital electronics. Digital electronics
can only have discrete states (1s and Os) therefore all continuous-time signals are
represented as a discrete-time signals on a computer system.
Knowledge of the following topics is required to complete this assessment:
Sampling - Converting x(t) to x[n]
Converting between sample number (n) and time taken to reach that sample. This is
discussed in Lecture 1.
Nyquist Sampling Theorem - Discussed in Lecture 1.
Overall Objective
The objective for this assessment is for the student to write a C/C++ program that will
generate a signal x[n]. The values
(t) will be sent to a text file. This text file will then be used in MS Excel to plot the signal.
each sample of the signal and the value of the time
The area under the signal (between 2 specified points in time) will then be calculated (in the
C/C++ program) using the Riemannian Sum. This answer will be printed on the output
window of the program.
For this assessment a constant sampling time of 1ms will be used.
Detailed Specification
The C/C++ program will consist of 3 functions, these are:
generateSignal(double* x_ptr, double t_start, double t_end)
plotsignal (double* x_ptr)
riemannianSum(double x_ptr)
Generating the signal
The function generateSignal.) will be used generate the samples/values of x[n]. The
signal will be generated from t = 0 up to t = (100ms + At) and At = 1ms. The signal to
be generated is x(t) = sin(wt), where w = 2 uf and f = 50 Hz. You are free to declare
any variables you may need inside this function, such as: pi,t, omega and n.
Expert Solution
This question has been solved!
Explore an expertly crafted, step-by-step solution for a thorough understanding of key concepts.
Step by step
Solved in 3 steps
Knowledge Booster
Learn more about
Need a deep-dive on the concept behind this application? Look no further. Learn more about this topic, electrical-engineering and related others by exploring similar questions and additional content below.Recommended textbooks for you
Introductory Circuit Analysis (13th Edition)
Electrical Engineering
ISBN:
9780133923605
Author:
Robert L. Boylestad
Publisher:
PEARSON
Delmar's Standard Textbook Of Electricity
Electrical Engineering
ISBN:
9781337900348
Author:
Stephen L. Herman
Publisher:
Cengage Learning
Programmable Logic Controllers
Electrical Engineering
ISBN:
9780073373843
Author:
Frank D. Petruzella
Publisher:
McGraw-Hill Education
Introductory Circuit Analysis (13th Edition)
Electrical Engineering
ISBN:
9780133923605
Author:
Robert L. Boylestad
Publisher:
PEARSON
Delmar's Standard Textbook Of Electricity
Electrical Engineering
ISBN:
9781337900348
Author:
Stephen L. Herman
Publisher:
Cengage Learning
Programmable Logic Controllers
Electrical Engineering
ISBN:
9780073373843
Author:
Frank D. Petruzella
Publisher:
McGraw-Hill Education
Fundamentals of Electric Circuits
Electrical Engineering
ISBN:
9780078028229
Author:
Charles K Alexander, Matthew Sadiku
Publisher:
McGraw-Hill Education
Electric Circuits. (11th Edition)
Electrical Engineering
ISBN:
9780134746968
Author:
James W. Nilsson, Susan Riedel
Publisher:
PEARSON
Engineering Electromagnetics
Electrical Engineering
ISBN:
9780078028151
Author:
Hayt, William H. (william Hart), Jr, BUCK, John A.
Publisher:
Mcgraw-hill Education,