A person is recording measurements from an analog data reader. During the first reading, he was not looking at the meter from a straight angle. He gets the reading of 72. At a second reading later he looks straight at the machine and gets the reading of 70. a) Which reading number is nearer to the actual value? b) What is the error type that happened in that reading? c) Suppose the data reader becomes faulty due to the extreme heat and gives a third measurement of 65. What type of error happened now? d) The data reader is working properly now, but there is a slight difference between two readings for the same measure. What type of error happened now and how can we minimize it?
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
This topic is widely taught in many undergraduate and postgraduate degree courses of:
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