Feng Juan's Fifth time assignment

Book on Exercise: P44

3-9 no redundancy of the source can also be compressed? Why?

Answer: yes.

Because redundancy provides the basis for a compressed signal, it also improves communication efficiency. Lossless compression and lossy compression. For the source of redundancy, lossless compression and lossy compression can be achieved, determined by the degree of compression. Only lossy compression can be performed when there is no redundancy in the source. Therefore, for non-redundant sources, only lossy compression can not be lossless compression.

3-10 can not be related to the source of the compression? Why?

Answer: yes.

At least the compression can be lossy, if there is redundancy (non-equal probability distribution of the source) can also be lossless compression.

Can the source of 3-12 equal probability distribution still compress? Why?

Answer: Yes.

because if the compressed source is not required to be distorted, then the source of the probability distribution can be completely lossy compression, if "equal" is the existence of "related", then the appropriate lossless compression will not lose useful information.

3-15 Some people think: "The image of the negative (black and white upside down) more than positive compression." Do you agree with his point of view? Why?

Answer: Disagree.

because the image of the negative and the image of the positive entropy is the same, so the compression results to keep the case, the two are the same compression ease.

3-16 Some people think: "The related source is non-equal probability distribution." Do you agree with his point of view? Why?

Answer: Disagree.

Because the equal probability distribution is not an indication of irrelevant, the associated source is not necessarily a non-equal probability distribution.

Feng Juan's Fifth time assignment