03-08-2013, 04:00 PM
Digital Signal Processing
Signal Processing[.ppt (Size: 42 KB / Downloads: 133)
Signal Processing
Humans are the most advanced signal processors
speech and pattern recognition, speech synthesis,…
We encounter many types of signals in various applications
Electrical signals: voltage, current, magnetic and electric fields,…
Mechanical signals: velocity, force, displacement,…
Acoustic signals: sound, vibration,…
Other signals: pressure, temperature,…
Most real-world signals are analog
They are continuous in time and amplitude
Convert to voltage or currents using sensors and transducers
Analog circuits process these signals using
Resistors, Capacitors, Inductors, Amplifiers,…
Analog signal processing examples
Audio processing in FM radios
Video processing in traditional TV sets
Pros and Cons of Digital Signal Processing
Pros
Accuracy can be controlled by choosing word length
Repeatable
Sensitivity to electrical noise is minimal
Dynamic range can be controlled using floating point numbers
Flexibility can be achieved with software implementations
Non-linear and time-varying operations are easier to implement
Digital storage is cheap
Digital information can be encrypted for security
Price/performance and reduced time-to-market
Cons
Sampling causes loss of information
A/D and D/A requires mixed-signal hardware
Limited speed of processors
Quantization and round-off errors