An AM-SC transmitter is modulating a message signal to transmit through a channel. The channel is bandwidth limited and noisy. The message Signal m(t) = Аcos(2πfmt) Transmitted signal g(t) Given Transmitter Modulator Carrier signal cos(2πfct) H(f) BWchannel 1 ‒‒‒‒‒‒ L -fub -fc-fib 0 fub fc ■ Transmitted signal g(t) = A сos(2лfmt) cos(2лfct) fub ise. Mun Noise LTI Additive Noise Channel Model Received signal r(t) cos(a) cos(b) = (cos(a + b) + cos(a − b)) - and, for A = 2, message frequency 150 Hz, channel carrier frequency fc = 110 MHz, A el ba Fitted ation B. If the noise variance ² (and, thus, power P) is , find the signal-to-noise ratio (SNR) at the channel output (i.e. the received signal's SNR as a measure of its quality) in decibels (dB).
Quantization and Resolution
Quantization is a methodology of carrying out signal modulation by the process of mapping input values from an infinitely long set of continuous values to a smaller set of finite values. Quantization forms the basic algorithm for lossy compression algorithms and represents a given analog signal into digital signals. In other words, these algorithms form the base of an analog-to-digital converter. Devices that process the algorithm of quantization are known as a quantizer. These devices aid in rounding off (approximation) the errors of an input function called the quantized value.
Probability of Error
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