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to select a band of frequencies, while rejecting out-of-band signals, thereby minimizing IMD products However, this filter must not be so tight that insertion loss (IL), noise figure (NF), and group delay variations (GDV) are increased excessively BPF1 will also help reject the first LO frequency from radiating its CW signal back through BPF2 and the LNA The LNA, because of its reverse isolation, can significantly attenuate this reradiation by itself, selecting the proper mixer with an adequate amount of port isolation BPF1 will further assist BPF2 in the attenuation of image frequencies and image noise located at (2 LO) RF, or LO IF (Normally image noise at a second or third mixer stage can be ignored because of the predominant noise contribution of these first stages of the receiver) In fact, the frequency of the IF is chosen to permit a receiver to reject this first RF image frequency without requiring an excessively expensive, complex, and tight image filter before the first down-mixer, MIXER1 The next stage, the LNA, will set most of the receiver s noise figure and IMD performance The LNA normally gives us approximately 20 dB of front-end RF gain, with a low NF of less than 2 dB BPF2 attenuates any harmonics created by the nonlinearity of the LNA, as well as the image noise caused by the LNA itself (since no amplifier is noiseless) BPF2 will further reject some of the out-of-band signals and LO feedthrough In receivers with a single filter in the receiver s front-end, the BPF1 would match the antenna to the input of the LNA, decrease the amplitude of the outof-band signals from overloading this amplifier, and provide a certain amount of image filtering But considering that filter insertion loss before the LNA is directly translated into increased NF, an image filter (BPF2) is usually placed between the LNA and the first mixer to decrease IL at the BPF1 preselector The two-filter method decreases the NF, while assisting the preselector in rejecting undesired signals as well as any image signal and the ever-present image noise As stated above, but well worth repeating: Low noise figure for a receiver means utilizing a low NF and high-gain amplifier in the receiver s front end, since any losses before the receiver s LNA will correlate dB for dB in an increased NF; 3 dB of filter loss before the LNA equals 3 dB more NF, which translates into a less sensitive receiver Unfortunately, there is a slight compromise that must be made in LNA design: For the highest front-end gain, the LNA must be matched to the receiver s front-end filters But this matching can increase the noise, since an optimum NF match will rarely coincide with a high return loss, or low mismatch loss, match So, considering that the first stage of a receiver is required to be designed for the lowest NF and the highest gain, we will normally match for the best NF that the amplifier can provide, while providing acceptable gain We can see the importance of LNA gain by glancing at the formula below, as the second stage of the receiver will only add to the overall noise figure of the receiver by the second stage s NF divided by this first stage of gain, or: NFOVERALL second-stage NF first-stage gain.

an image So it has to take an image that contains millions of colors and reduce it down to an image that contains only 256 colors As you can imagine, in most cases, the realistic effect of the RGB color is lost in the translation, which makes it a bad choice for images like photographs or paintings

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Downloaded from Digital Engineering Library @ McGraw-Hill (wwwdigitalengineeringlibrarycom) Copyright 2004 The McGraw-Hill Companies All rights reserved Any use is subject to the Terms of Use as given at the website

Downloaded from Digital Engineering Library @ McGraw-Hill (wwwdigitalengineeringlibrarycom) Copyright 2004 The McGraw-Hill Companies All rights reserved Any use is subject to the Terms of Use as given at the website

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Figure 2-5 The same image in RGB (left) and Indexed Color (right) modes; even if you can t see the color here, you can tell that the Indexed Color image contains far fewer details and shades

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