The problem of encoding conversion was tossed for several hours and died of depression

First: You can create slots by building culture-generating buildings such as large stages and theaters, and by constructing certain spectacles! You can see the details of this in the tech tree!

Second, the random leader's personality can't be seen directly, but it can be seen through his development direction and the strange ** he built in the later stage, and some people always fight and build the spectacle that increases the siege attack power by 15% in the early stage is an aggressive type! Some people build the cultural type of the big library first, some people build the development type of the big pyramid first, and so on! Thirdly, he covets your territory, which shows two things:

1. Your territory is larger than his or your territory has luxuries that he does not have. 2. Your military strength is much weaker than his! There are many ways to solve the problem, and you can ally players or city-states near his territory through diplomacy.

The most direct way is to build an army, expand your military power, and when you surpass him, even if it is only slightly surpassing him, even if you build a city and build his side, he will condemn you at most and will not beat you! In my experience, when he covets your territory, it's too late for you to build troops, hurry up and concentrate the existing troops in Chengshi, which is closest to his territory, and defend it, because in your territory, your attacks will increase, and there are city attacks as a backing (the dying units move to the city to add health), and always keep an eye on this, don't take the opportunity to surround your other cities, it's basically nothing! His army is depleted, and you just have to fight back!

Can't. OpenOffice is poorly compatible with DOCX. You can only wait for the subsequent upgrade version.

WPS is a great option. In addition, mathetype is the industry standard, the standard format of the formula, and the vast majority of magazines and graduations are required to use formulas in this format. You don't have a choice.

1. Take the txt file as an example. The file must first be opened.

2. After opening the file, you can't see the file encoding. At this time, click File->Save As.

3. In the pop-up Save as Pair Dust dialog box, you can see the encoding format of the file if you destroy the number, which is marked with a red box in **.

4. If you want to modify the encoding format of the file, then you can know Yu Chan through the place where the encoding format is displayed, drop down, and select the encoding you want to use; Then click Save, and you can generate another encoded file.

<> binary system is converted into binary or filial piety, xun octal or hexadecimal system.

27 = 16 + 8 + 2 + 1 = 2 4 + 2 3 + 2 1 + 1 then the binary is 11011 to complete 8 bits, which is the high plus 0

for 00011011

The complement of a negative number is a positive number and adds 1 inversely, and getting a 11100101 is what is sought.

It's just a snapshot that is created every once in a while.

Instead of directly encoding the spatial image signal, the transformation coding first transforms the spatial image signal mapping to another orthogonal vector space (transformation domain or frequency domain) to generate a batch of transformation coefficients, and then encodes these transformation coefficients. Transformation coding is an indirect coding method, in which the key problem is that when the time domain or space domain is described, the correlation between the data is large, and the data redundancy is large, and the data correlation is greatly reduced, the data redundancy is reduced, the parameters are independent, and the data volume is small, so that the quantization can obtain a larger compression ratio. Typical quasi-optimal transformations are DCT (Discrete Cosine Transform), DFT (Discrete Fourier Transform), WHT (Walsh Hadama Transform), HRT (Haar Transform), etc.

Among them, the most commonly used is the discrete cosine transformation.

In bit allocation in transform encoding, partition encoding is based on.

maximum variance criterion; The threshold coding is based on the maximum-magnitude criterion.

Transform coding is an important type of encoding for distortion encoding.

Generally speaking, signal compression refers to the signal after rebasing, and then transformed into a signal with a certain degree of exponential attenuation of coefficients under an orthogonal basis, with very few large coefficients and many small coefficients.

Transform coding is to reduce the spatial correlation of the image signal from the perspective of frequency domain, and it has achieved similar effects to the first coding in terms of reducing the digitization rate. After entering the 80s, a set of hybrid coding schemes combining motion compensation and transformation coding was gradually formed, which greatly promoted the development of digital coding technology. In the early 90's, ITU made the famous ** coding proposal for conference television applications, which was the first widely used hybrid coding scheme.

Later, with the introduction of continuously improved coding standards and recommendations, such as MPEG1 MPEG2 MPEG4, hybrid coding technology gradually matured and became one of the most widely used digital coding technologies.

Transcoding technology converts a signal from one format to another. It has two important functions for different lead areas. The first is to enable communication between legacy and emerging devices.

For example, many of the existing conferencing systems are based on the old coding standards, while the latest conferencing systems adopt baseline specifications. Therefore, real-time transcoding technology is an essential factor to enable communication between the two. According to the format, it is divided into, audio transcoding, and transcoding.