1Roots of Digital Signal Processing
Digital Signal Processing is the mathematics, algorithms, and techniques used to manipulate signals after they have been converted into a digital form
2Examples of real-world signals used in DSP
Seismic vibrations, visual images, sound waves
3Four pioneering fields in early DSP
Radar & sonar, oil exploration, space exploration, medical imaging
4Goal of data compression in DSP
To reduce the number of bits per second needed to represent digital data
5Importance of DSP in space exploration
To enhance space photographs and analyze sensory data from remote probes
6Key application of DSP in medicine
Diagnostic imaging such as CT and MRI
7Purpose of DSP in telecommunications
Transferring information efficiently through various channels
8Sampling
The process of converting analog signals to digital by taking discrete values
9Sampling Rate
Number of samples taken per second in signal conversion
10Sampling Theorem (Nyquist)
The sampling rate must be at least twice the highest frequency of the signal to accurately reconstruct it
11Digital Filters
DSP tools used to modify or enhance signals by passing or blocking certain frequencies
12Frequency Response
How a system or filter reacts to different signal frequencies
13Multiplexing in telecommunications
Sending multiple signals through a single communication channel
14Compression in telecommunications
Reducing redundancy in digital signals to save space and bandwidth
15Echo Control in telecommunications
Technique used to eliminate delayed signals in phone conversations
16Audio Processing
Manipulating sound signals to improve or alter their quality
17Speech Generation
Creating human-like speech from text using computers
18Radar
Radio wave-based method to detect and locate objects using reflected signals
19Sonar
Sound wave-based method to detect objects underwater using echoes
20Use of DSP in CT scans
Converts detected x-rays into digital data for internal body imaging
21Use of DSP in MRI
Analyzes emitted radio waves from the body to create internal images
22Field where DSP helps multimedia presentations
Commercial (e.g., movie effects, video calls)
23Reason DSP is important in military
Used for radar, sonar, secure communications, and guidance systems
24Industrial use of DSP
Oil and mineral prospecting, process control, nondestructive testing
25Scientific applications of DSP
Data acquisition, spectral analysis, simulation, and modeling
26Common DSP technique for image enhancement
Filtering
27Effect of digitizing voice signals at 8000 samples/sec
Results in redundant data that can be compressed
28Why echo control is needed
To prevent hearing delayed versions of your own voice during calls
29Digital representation in audio storage
Prevents degradation compared to analog methods like cassettes
30DSP role in communication channels
Increases capacity and clarity while reducing cost and interference
31Definition of a signal
A description of how one parameter is related to another parameter, such as voltage varying with time
32Independent variable in a signal
A function of time, distance, position, or temperature
33Amplitude (A)
The peak deviation of the function from zero
34Wavelength (λ)
Distance between two points with the same phase, such as two crests or troughs of a sine wave
35Frequency (f)
Number of oscillations per second, measured in hertz (Hz)
36Period (T)
Time taken for one complete cycle of a wave
37Cycle in a sine wave
One full repetition of a wave pattern, including positive and negative peaks
38Continuous signals
Signals that take any value at any time, represented by smooth lines (analog systems)
39Example of continuous signal
Temperature variation throughout the day
40Discrete signals
Signals that take specific values at set intervals (digital systems)
41Example of discrete signal
Number of students recorded every hour in a classroom
42Digital signal
Data represented as binary values (0s and 1s) at fixed intervals
43Continuous-time signal
Has a value specified for all points in time
44Discrete-time signal
Has a value specified only at discrete points in time
45Vertical axis in a signal graph
Represents amplitude or dependent variable
46Horizontal axis in a signal graph
Represents independent variable, often time
47Time domain
Signal representation with time as the independent variable
48Frequency domain
Signal representation with frequency as the independent variable
49Amplitude modulation (AM)
Technique of transmitting information by varying the amplitude of a carrier wave while keeping frequency constant
50Carrier signal in AM
High-frequency signal with constant amplitude and frequency used to carry information
51Information signal in AM
The modulating signal containing the message, such as voice or music
52Modulated signal in AM
Carrier signal whose amplitude changes according to the information signal