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