| rdfs:comment
| - This page contains resources about Signal Processing in general. More specific information is included in each subfield.
- Signal processing is the process of extracting distinguishing features from a raw biometric sample, which may include some or all of the following:
* signal or image normalization
* segmentation
* feature extraction
* quality assessment, and
* template creation.
- Signal processing transforms the input signal to output signal using either linear transformation function or nonlinear transformation functions. If the input signal vector is , the output signal vector transformed by linear matrix filter is given by where is the linear transformation matrix. For nonlinear signal processing, the output signal vector is given by where is the nonlinear transformation function.
- Signal processing is an area of electrical engineering and applied mathematics that deals with operations on or analysis of signals, in either discrete or continuous time, to perform useful operations on those signals.
- Signal processing is the processing, amplification and interpretation of signals. Signals may come from various sources. There are various sorts of signal processing, depending on the nature of the signal, as in the following examples. Topics in signal processing:
* Quantization (signal processing)
* Anti-aliasing
- Signal processing is the analysis, interpretation, and manipulation of signals. Signals of interest include sound, images, biological signals such as ECG, radar signals, and many others. Processing of such signals includes filtering, storage and reconstruction, separation of information from noise (for example, aircraft identification by radar), compression (for example, image compression), and feature extraction (for example, speech-to-text conversion).
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| abstract
| - This page contains resources about Signal Processing in general. More specific information is included in each subfield.
- Signal processing is the process of extracting distinguishing features from a raw biometric sample, which may include some or all of the following:
* signal or image normalization
* segmentation
* feature extraction
* quality assessment, and
* template creation.
- Signal processing transforms the input signal to output signal using either linear transformation function or nonlinear transformation functions. If the input signal vector is , the output signal vector transformed by linear matrix filter is given by where is the linear transformation matrix. For nonlinear signal processing, the output signal vector is given by where is the nonlinear transformation function.
- Signal processing is an area of electrical engineering and applied mathematics that deals with operations on or analysis of signals, in either discrete or continuous time, to perform useful operations on those signals.
- Signal processing is the processing, amplification and interpretation of signals. Signals may come from various sources. There are various sorts of signal processing, depending on the nature of the signal, as in the following examples.
* Digital signal processing - for signals that have been digitized. Processing is done by digital circuits, microprocessors or computers.
* Analog signal processing - for signals that have not been digitized
* Audio signal processing - for electrical signals representing sound
* Speech signal processing - for interpreting spoken words
* Video signal processing - for interpreting moving pictures
* Array processing Topics in signal processing:
* Quantization (signal processing)
* Anti-aliasing
- Signal processing is the analysis, interpretation, and manipulation of signals. Signals of interest include sound, images, biological signals such as ECG, radar signals, and many others. Processing of such signals includes filtering, storage and reconstruction, separation of information from noise (for example, aircraft identification by radar), compression (for example, image compression), and feature extraction (for example, speech-to-text conversion). In communication systems, signal processing only occurs at OSI layer 1, the physical layer (modulation, equalization, multiplexing, radio transmission, etc) in the seven layer OSI model, as well as at OSI layer 6, the presentation layer (source coding, including analog-to-digital conversion and data compression).
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