3) We want to quantize a source with pdf given as in the following figure. f(x) 1 a) In the class, we have seen that, if the distribution is uniform, then the uniform quantizer gives an error variance of 0 = where A corresponds to the quantization interval. Consequently, if we quantize this triangular pdf source with a uniform quantizer, what would the quantization error be (with respect to the same parameters)? b) Compare this quantization error to the uniform distribuation case. Which one is larger? Why? e) Devise another quantization frame (with different intervals, and different representations). Describe your reasoning. 3) We want to quantize a source with pdf given as in the following figure. f(x) 1 a) In the class, we have seen that, if the distribution is uniform, then the uniform quantizer gives an error variance of 0 = where A corresponds to the quantization interval. Consequently, if we quantize this triangular pdf source with a uniform quantizer, what would the quantization error be (with respect to the same parameters)? b) Compare this quantization error to the uniform distribuation case. Which one is larger? Why? e) Devise another quantization frame (with different intervals, and different representations). Describe your reasoning