Digital Signal Processing
Signals
Signal is a detectable energy (voltage or current or field strength) which carries information.
Various types of signals are defined here.
Systems
Definitions of several systems that used in DSP.
Convolution
Convolution is the most important and fundamental concept in signal processing and analysis.
By using convolution, we can construct the output of system for any arbitrary input signal, if we know the impulse response of system.
Luminance
RGB color image can be converted into the gray scale image with a weighted sum of each color component. It describes a fast conversion formula from RGB to gray scale.
Histogram
Histogram is a graphical representation of data distribution.
Histogram is used to enhance the image contrast or to determine the threshold values for region segmentation.
Canny Edge Detection
Canny edge detection
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Signal is a detectable energy (voltage or current or field strength) which carries information.
Definitions of several systems that used in DSP.
Convolution is the most important and fundamental concept in signal processing and analysis.
RGB color image can be converted into the gray scale image with a weighted sum of each color component. It describes a fast conversion formula from RGB to gray scale.
Histogram is a graphical representation of data distribution.
Canny edge detection
