By Saeed V. Vaseghi
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Additional resources for Advanced Signal Processing and Noise Reduction, 2nd Edition (Electrical Engineering & Applied Signal Processing Series)
G. quantisation noise in digital coding of speech or image signals, or lost data packets in digital data communication systems. 31 White Noise Depending on its frequency or time characteristics, a noise process can be classified into one of several categories as follows: (a) Narrowband noise: a noise process with a narrow bandwidth such as a 50/60 Hz ‘hum’ from the electricity supply. (b) White noise: purely random noise that has a flat power spectrum. White noise theoretically contains all frequencies in equal intensity.
19. 20 A simplified sample-and-hold circuit diagram. 2 Quantisation For digital signal processing, continuous-amplitude samples from the sample-and-hold are quantised and mapped into n-bit binary digits. For quantisation to n bits, the amplitude range of the signal is divided into 2n discrete levels, and each sample is quantised to the nearest quantisation level, and then mapped to the binary code assigned to that level. 21 illustrates the quantisation of a signal into 4 discrete levels. Quantisation is a many-to-one mapping, in that all the values that fall within the continuum of a quantisation band are mapped to the centre of the band.
A radar system consists of a transceiver (transmitter/receiver) that generates and transmits sinusoidal pulses at microwave frequencies. The signal travels with the speed of light and is reflected back from any object in its path. The analysis of the received echo provides such information as range, speed, and acceleration. 13) where A(t), the time-varying amplitude of the reflected wave, depends on the position and the characteristics of the target, r(t) is the time-varying distance of the object from the radar and c is the velocity of light.
Advanced Signal Processing and Noise Reduction, 2nd Edition (Electrical Engineering & Applied Signal Processing Series) by Saeed V. Vaseghi