Effect of Quantization Error and SQNR on the ADC Using Truncating Method to the Nearest Integer Bit

This paper considers the effects of the quantization error and Signal Quantization Noise Ratio (SQNR) on the performance of an Analog Digital Converter of the sine signal using the Truncating method to the nearest integer bit. This Truncating method assigns each sample of the sine signal to the quantization level below it. By using MATLAB program, the experimental SQNRTruncating was always lower than the theoretical value as the number of bits increased in the digital word. This was expected because truncating the data leads to less accurate quantization of the signal and a lower SQNR. StatGraphics software was used to analyze simple regressions of the quantization error, and compare between Standard Deviation and Mean Absolute Deviation of the quantization error. StatGraph Plus program has been used to analyze the effect of the correlation coefficient statistic for truncating. Analysis Regression - Linear model using the StatGraph Plus program has been performed, then analysis of the effect of the statistic correlation coefficient and the equation of the regression line of dependent value (SQNR)Truncating on the independent value `number of bits (n)' is accomplished. Results show that increasing the value of (n) by one bit in digital word, the value of SQNR increases by 6 Decibels (dB).