Now, if you were to think of it as a continuous source. So, for a where the variable of interest is a source x, so for a continuous source continuous source x then you would have the corresponding probability distribution function f subscript x of x and the entropy of this source H of x can be written as minus of minus infinity to infinity f x of x corresponding to P i and logarithm of 1 over f x of x, but that can be captured with a minus sign logarithm base 2 f x of x very very important that we are able to times dx. So, this would be our expression for the entropy of a continuous source. So, this can also be written just like we wrote last time it can be written as minus expected value of logarithm base 2 fx of x and this would be in terms of the bits per symbol, this would be the entropy of the source x.
अब, यदि आप इसे एक कंटीन्युअस सोर्स के रूप में सोचे, तो कंटीन्युअस सोर्स x का कोरस्पोंडिंग प्रोबेबिलिटी डिस्ट्रीब्यूशन फ़ंक्शन होगा और इस सोर्स की एन्ट्रोपी H= होगी, यह कंटीन्युअस सोर्स का एक्सप्रेशन है, पिछली बार की तरह इसे के रूप में लिखा जा सकता है और यह बिट्स प्रति सिम्बल के संदर्भ में होगा, यह सोर्स x की एन्ट्रॉपी होगी।