COntents:
Signals & Systems, Classification of Continuous and Discrete Time signals, Standard Continuous and Discrete Time Signals
Block Diagram Representation of System, Properties of System
Linear Time Invariant Systems (LTI)
Convolution, Properties of Convolution, Performing Convolution
Differential and Difference Equation Representation of LTI Systems
Fourier Series, Dirichlit Condition, Determination of Fourier Coefficeints, Wave Symmetry, Exponential Form of Fourier Series
Fourier Transform, Discrete Time Fourier Transform
Laplace Transform, Inverse Laplace Transform, Properties of Laplace Transform
Z-Transform, Properties of Z-Transform, Inverse Z- Transform
Text Book
Signal & Systems (2nd Edition) By A. V. Oppenheim, A. S. Willsky & S. H. Nawa
Signal & Systems
By Prentice Hall
Reference Book
Signal & Systems (2nd Edition)
By S. Haykin & B.V. Veen
Signals & Systems
By Smarajit Gosh
Nyquist criterion for distortion less baseband binary channelPriyangaKR1
binary transmission system
From design point of view – frequency response of the channel and transmitted pulse shape are specified; the frequency response of the transmit and receive filters has to be determined so as to reconstruct [bk]
Signal and System, CT Signal DT Signal, Signal Processing(amplitude and time ...Waqas Afzal
Signal and System(definitions)
Continuous-Time Signal
Discrete-Time Signal
Signal Processing
Basic Elements of Signal Processing
Classification of Signals
Basic Signal Operations(amplitude and time scaling)
COntents:
Signals & Systems, Classification of Continuous and Discrete Time signals, Standard Continuous and Discrete Time Signals
Block Diagram Representation of System, Properties of System
Linear Time Invariant Systems (LTI)
Convolution, Properties of Convolution, Performing Convolution
Differential and Difference Equation Representation of LTI Systems
Fourier Series, Dirichlit Condition, Determination of Fourier Coefficeints, Wave Symmetry, Exponential Form of Fourier Series
Fourier Transform, Discrete Time Fourier Transform
Laplace Transform, Inverse Laplace Transform, Properties of Laplace Transform
Z-Transform, Properties of Z-Transform, Inverse Z- Transform
Text Book
Signal & Systems (2nd Edition) By A. V. Oppenheim, A. S. Willsky & S. H. Nawa
Signal & Systems
By Prentice Hall
Reference Book
Signal & Systems (2nd Edition)
By S. Haykin & B.V. Veen
Signals & Systems
By Smarajit Gosh
Nyquist criterion for distortion less baseband binary channelPriyangaKR1
binary transmission system
From design point of view – frequency response of the channel and transmitted pulse shape are specified; the frequency response of the transmit and receive filters has to be determined so as to reconstruct [bk]
Signal and System, CT Signal DT Signal, Signal Processing(amplitude and time ...Waqas Afzal
Signal and System(definitions)
Continuous-Time Signal
Discrete-Time Signal
Signal Processing
Basic Elements of Signal Processing
Classification of Signals
Basic Signal Operations(amplitude and time scaling)
Digital Signal Processing[ECEG-3171]-Ch1_L04Rediet Moges
This Digital Signal Processing Lecture material is the property of the author (Rediet M.) . It is not for publication,nor is it to be sold or reproduced.
#Africa#Ethiopia
The presentation covers sampling theorem, ideal sampling, flat top sampling, natural sampling, reconstruction of signals from samples, aliasing effect, zero order hold, upsampling, downsampling, and discrete time processing of continuous time signals.
Sampling is a Simple method to convert analog signal into discrete Signal by using any one of its three methods
if the sampling frequency is twice or greater than twice then sampled signal can be convert back into analog signal easily......
Classification of signals and systems as well as their properties are given in the PPT .Examples related to types of signals and systems are also given .
A signal is a pattern of variation that carry information.
Signals are represented mathematically as a function of one or more independent variable
basic concept of signals
types of signals
system concepts
Digital Signal Processing[ECEG-3171]-Ch1_L04Rediet Moges
This Digital Signal Processing Lecture material is the property of the author (Rediet M.) . It is not for publication,nor is it to be sold or reproduced.
#Africa#Ethiopia
The presentation covers sampling theorem, ideal sampling, flat top sampling, natural sampling, reconstruction of signals from samples, aliasing effect, zero order hold, upsampling, downsampling, and discrete time processing of continuous time signals.
Sampling is a Simple method to convert analog signal into discrete Signal by using any one of its three methods
if the sampling frequency is twice or greater than twice then sampled signal can be convert back into analog signal easily......
Classification of signals and systems as well as their properties are given in the PPT .Examples related to types of signals and systems are also given .
A signal is a pattern of variation that carry information.
Signals are represented mathematically as a function of one or more independent variable
basic concept of signals
types of signals
system concepts
Representation of signals & Operation on signals
(Time Reversal, Time Shifting , Time Scaling, Amplitude scaling, Signal addition, Signal Multiplication)
Contemporary communication systems 1st edition mesiya solutions manualto2001
Contemporary Communication Systems 1st Edition Mesiya Solutions Manual
Download:https://goo.gl/DmVRQ4
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contemporary communication systems mesiya download
contemporary communication systems pdf
contemporary communication systems mesiya solutions
Explore the innovative world of trenchless pipe repair with our comprehensive guide, "The Benefits and Techniques of Trenchless Pipe Repair." This document delves into the modern methods of repairing underground pipes without the need for extensive excavation, highlighting the numerous advantages and the latest techniques used in the industry.
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Automobile Management System Project Report.pdfKamal Acharya
The proposed project is developed to manage the automobile in the automobile dealer company. The main module in this project is login, automobile management, customer management, sales, complaints and reports. The first module is the login. The automobile showroom owner should login to the project for usage. The username and password are verified and if it is correct, next form opens. If the username and password are not correct, it shows the error message.
When a customer search for a automobile, if the automobile is available, they will be taken to a page that shows the details of the automobile including automobile name, automobile ID, quantity, price etc. “Automobile Management System” is useful for maintaining automobiles, customers effectively and hence helps for establishing good relation between customer and automobile organization. It contains various customized modules for effectively maintaining automobiles and stock information accurately and safely.
When the automobile is sold to the customer, stock will be reduced automatically. When a new purchase is made, stock will be increased automatically. While selecting automobiles for sale, the proposed software will automatically check for total number of available stock of that particular item, if the total stock of that particular item is less than 5, software will notify the user to purchase the particular item.
Also when the user tries to sale items which are not in stock, the system will prompt the user that the stock is not enough. Customers of this system can search for a automobile; can purchase a automobile easily by selecting fast. On the other hand the stock of automobiles can be maintained perfectly by the automobile shop manager overcoming the drawbacks of existing system.
Sachpazis:Terzaghi Bearing Capacity Estimation in simple terms with Calculati...Dr.Costas Sachpazis
Terzaghi's soil bearing capacity theory, developed by Karl Terzaghi, is a fundamental principle in geotechnical engineering used to determine the bearing capacity of shallow foundations. This theory provides a method to calculate the ultimate bearing capacity of soil, which is the maximum load per unit area that the soil can support without undergoing shear failure. The Calculation HTML Code included.
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Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
• Remote control: Parallel or serial interface.
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• Remote control system for accessing CCR and allied system over serial or TCP.
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Technical Specifications
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
Key Features
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
• Remote control: Parallel or serial interface
• Compatible with MAFI CCR system
• Copatiable with IDM8000 CCR
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
Application
• Remote control: Parallel or serial interface.
• Compatible with MAFI CCR system.
• Compatible with IDM8000 CCR.
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
• Easy in configuration using DIP switches.
Industrial Training at Shahjalal Fertilizer Company Limited (SFCL)MdTanvirMahtab2
This presentation is about the working procedure of Shahjalal Fertilizer Company Limited (SFCL). A Govt. owned Company of Bangladesh Chemical Industries Corporation under Ministry of Industries.
Quality defects in TMT Bars, Possible causes and Potential Solutions.PrashantGoswami42
Maintaining high-quality standards in the production of TMT bars is crucial for ensuring structural integrity in construction. Addressing common defects through careful monitoring, standardized processes, and advanced technology can significantly improve the quality of TMT bars. Continuous training and adherence to quality control measures will also play a pivotal role in minimizing these defects.
Democratizing Fuzzing at Scale by Abhishek Aryaabh.arya
Presented at NUS: Fuzzing and Software Security Summer School 2024
This keynote talks about the democratization of fuzzing at scale, highlighting the collaboration between open source communities, academia, and industry to advance the field of fuzzing. It delves into the history of fuzzing, the development of scalable fuzzing platforms, and the empowerment of community-driven research. The talk will further discuss recent advancements leveraging AI/ML and offer insights into the future evolution of the fuzzing landscape.
Overview of the fundamental roles in Hydropower generation and the components involved in wider Electrical Engineering.
This paper presents the design and construction of hydroelectric dams from the hydrologist’s survey of the valley before construction, all aspects and involved disciplines, fluid dynamics, structural engineering, generation and mains frequency regulation to the very transmission of power through the network in the United Kingdom.
Author: Robbie Edward Sayers
Collaborators and co editors: Charlie Sims and Connor Healey.
(C) 2024 Robbie E. Sayers
Courier management system project report.pdfKamal Acharya
It is now-a-days very important for the people to send or receive articles like imported furniture, electronic items, gifts, business goods and the like. People depend vastly on different transport systems which mostly use the manual way of receiving and delivering the articles. There is no way to track the articles till they are received and there is no way to let the customer know what happened in transit, once he booked some articles. In such a situation, we need a system which completely computerizes the cargo activities including time to time tracking of the articles sent. This need is fulfilled by Courier Management System software which is online software for the cargo management people that enables them to receive the goods from a source and send them to a required destination and track their status from time to time.
Vaccine management system project report documentation..pdfKamal Acharya
The Division of Vaccine and Immunization is facing increasing difficulty monitoring vaccines and other commodities distribution once they have been distributed from the national stores. With the introduction of new vaccines, more challenges have been anticipated with this additions posing serious threat to the already over strained vaccine supply chain system in Kenya.
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2. Continuous-Time Signals
• Continuous-Time Signals
– Time is a continuous variable
– The signal itself need not be continuous
2
• We will look at several common
continuous-time signals and also
operations that may be performed on them
3. Unit Step Function u(t)
( )
<
≥
=
00
01
t
t
tu
t
1
3
•Used to characterize systems
•We will use u(t) to illustrate the properties of continuous-time signals
t
0
5. 1. Time Reversal
• Flips the signal about the y axis
• y(t) = x(-t)
ex. Let x(t) = u(t), and perform time reversal
5
Solution: Find y(t) = u(-t)
Let “a” be the argument of the step function u(a)
( )
<
≥
=
00
01
a
a
au
Let a = -t, and plug in this value of “a”
( )
>
≤
=−
00
01
t
t
tu
t
1
0
6. 2. Time Shifting / Delay
• y(t) = x(t – td)
• Shifts the signal left or right
• Shifts the origin of the signal to td
6
• Rule Set (t – td) = 0 (set the argument equal
to zero)
Then move the origin of x(t) to td
• Effectively, y(t) equals what x(t) was td seconds
ago
7. 2. Time Shifting / Delay
ex. Sketch y(t) = u(t – 2)
Method 1
Let “a” be the argument of “u”
( )
≥
=
≥−
=
≥
=
2102101 tta
ay
7
( )
<
=
<−
=
<
=
2002000 tta
ay
t
1
0
1 2
Method 2 (by inspection)
Simply shift the origin to td = 2
8. 3. Amplitude Scaling
• Multiply the entire signal by a constant value
• y(t) = Bx(t)
ex. Sketch y(t) = 5u(t)
8
t
5
0
9. 4. Addition of Signals
• Point-by-point addition of multiple signals
• Move from left to right (or vice versa), and add
the value of each signal together to achieve the
final signal
• y(t) = x (t) + x (t)
9
• y(t) = x1(t) + x2(t)
• Graphical solution
– Plot each individual portion of the signal (break into
parts)
– Add the signals point by point
10. 4. Addition of Signals
ex. Sketch y(t) = u(t) – u(t – 2)
First, plot each of the portions of this signal separately
•x1(t) = u(t) Simply a step signal
•x2(t) = –u(t-2) Delayed step signal, multiplied by -1
10
t
1
1 2
-1
x1(t) = u(t)
x2(t) = -u(t - 2)
Then, move from one side to
the other, and add their
instantaneous values
t
1
0
1 2
y(t)
11. 5. Multiplication of Signals
• Point-by-point multiplication of the values
of each signal
• y(t) = x1(t)x2(t)
11
• Graphical solution
– Plot each individual portion of the signal
(break into parts)
– Multiply the signals point by point
12. 5. Multiplication of Signals
ex. Sketch y(t) = u(t)·u(t – 2)
First, plot each of the portions of this signal separately
•x1(t) = u(t) Simply a step signal
•x2(t) = u(t-2) Delayed step signal
12
t
1
1 2
x1(t) = u(t)
x2(t) = -u(t - 2)
Then, move from one side to
the other, and multiply
instantaneous values
t
1
1 2
y(t)
13. 6. Time Scaling
• Speed up or slow down a signal
• Multiply the time in the argument by a
constant
• y(t) = x(at)
13
• y(t) = x(at)
|a| > 1 Speed up x(t) by a factor of “a”
|a| < 1 Slow down x(t) by a factor of “a”
• Key Replace all instances of “t” with “at”
14. 6. Time Scaling
ex. Let x(t) = u(t) – u(t – 2)
Sketch y(t) = x(2t)
1
x(t)
First, plot x(t)
Replace all t’s with 2t
14
t1 2
y(t) = x(2t) = u(2t) – u(2t – 2)
Turns on at
2t ≥ 0
t ≥ 0
No change
Turns on at
2t - 2 ≥ 0
t ≥ 1
t
1
1 2
y(t)
This has effectively “sped up” x(t) by a factor of 2
(What occurred at t=2 now occurs at t=2/2=1)
15. 6. Time Scaling
ex. Let x(t) = u(t) – u(t – 2)
Sketch y(t) = x(t/2)
1
x(t)
First, plot x(t)
Replace all t’s with t/2
15
t1 2
y(t) = x(t/2) = u(t/2) – u((t/2) – 2)
Turns on at
t/2 ≥ 0
t ≥ 0
No change
Turns on at
t/2 - 2 ≥ 0
t ≥ 4
This has effectively “slowed down” x(t) by a factor of 2
(What occurred at t=1 now occurs at t=2)
t
1
1 2
y(t)
3 4
16. Combinations of Operations
• Combinations of operations on signals
– Easier to Determine the final signal in stages
– Create intermediary signals in which one
operation is performed
16
operation is performed
17. ex. Time Scale and Time Shift
Let x(t) = u(t + 2) – u(t – 4)
Sketch y(t) = x(2t – 2)
t
1
1 2
x(t)
3 4-1-2
Can perform either operation first
Method 1 Shift then scale
17
Method 1 Shift then scale
Let v(t) = x(t – b) Time shifted version of x(t)
Then y(t) = v(at) = x(at – b)
Replace “t” with the argument of “v”
Match up “a” and “b” to what is given in the
problem statement
at – b = 2t – 2
(Match powers of t)
a = 2
b = 2
Therefore, shift by 2,
then scale by 2
t
1
1 2
v(t) = x(t - 2)
3 4 5 6
t
1
1 2
y(t) = v(2t) = x(2t - 2)
3 4 5 6
18. ex. Time Scale and Time Shift
Let x(t) = u(t + 2) – u(t – 4)
Sketch y(t) = x(2t – 2)
t
1
1 2
x(t)
3 4-1-2
Can perform either operation first
Method 2 Scale then shift
18
Method 2 Scale then shift
Let v(t) = x(at) Time scaled version of x(t)
Then y(t) = v(t – b) = x(a(t – b)) = x(at – ab)
Replace “t” with the argument of “v”
Match up “a” and “b” to what is given in the
problem statement
at – ab = 2t – 2
(Match powers of t)
a = 2
ab = 2, b = 1
Therefore, scale by
2, then shift by 1
t
1
1 2
v(t) = x(2t)
3 4-1-2
t
1
1 2
y(t) = v(t - 1) = x(2(t - 1))
x(2t - 2)
3 4-1-2
19. ex. Time Scale and Time Shift
• Note – The results are the same
• Note – The value of b in Method 2 is a
scaled version of the time delay
– t = 2
19
– td = 2
– Time scale factor = 2
– New scale factor = 2/2 = 1