bloom america

Ahem, there were some errors just now. Please correct them and wait a moment.

When I was typing "Don't Believe in Love", I accidentally pressed delete. Fortunately, there was still content in the clipboard.

Damn it, if nothing goes well, everything goes wrong...

So, please don’t believe in love...

…

Time went like this, gradually entering July 1982. After several missions, the 141st Special Forces Group regained its strength under the leadership of the newly emerged Price.

Catherine also noticed that plans for her seemed to be starting to take shape.

But no one seems to know that there is a force that does not belong to both sides, but it is hidden among these people at this time...

Companies like Nintendo are already a small role for Catherine now, and Catherine doesn't care much about these people anymore.

Catherine's games like Counter-Strike are actually not just games she cares about. Catherine likes the feeling of competition and the excitement of e-sports games. At the same time, she also likes first-person shooting games.

a hobby.

However, this has the least to do with profit.

As a digger who has no worries about debts, Catherine said that things like money have actually been much better for a long time...

"Ark University recently developed an imaging material that they think may be useful."

Elsa looked at the documents below, and then sorted out the more important ones, and one document was about an imaging device for a metatropic material.

Metatropic materials have characteristics that materials in nature do not have. Their structures are specially designed artificially and have precise shapes, sizes, arrangements and directions. They can affect sound waves or light waves in an unconventional way.

For example, metatropic materials can "invisible" light waves and bend sound waves as a noise reduction system in high-noise urban areas.

...Well, except that it is not as strong as Catherine's tempered carbon nanotube fiber material, the properties of this thing are no less than those of tempered carbon nanotube fiber.

Ark University used the light wavelength leakage characteristics of metatropic dielectric materials to create a device with new functions: a microwave imaging system.

The system compresses images while they are being captured - rather than only processing them after they are captured, as is the case with digital cameras and mobile phones.

Each pixel of a picture in a digital camera is equivalent to one pixel of information recorded by the sensor in the camera. After collecting all the light intensity information in the scene, a traditional digital camera uses an algorithm to discard some data, and then compresses it into a jpeg file (

Unless you specifically specify to store the original data). The image quality obtained in this way is not bad, because most of the discarded data is redundant.

Compressed sensing aims to simplify this process by reducing the amount of data collected when initially photographing. One such method is a single-pixel camera. This device uses random patterns to obtain information for the pixels surrounding the image, essentially adding more data at once.

The light intensity value of some pixel blocks. If the structure of the image and other information are known in advance. For example, the dark sky corresponds to the bright star cluster, the information of the entire image can be obtained with fewer measurement values ​​than a traditional camera.

Algorithms can then combine this set of collected measurements with the already acquired scene information, so that the computer can derive the actual image from a large number of possible reconstructions, based only on a small set of measurements.

However, the microwave image compression system of Ark University has extraordinary results.

The system uses a special metatropic material. It does not use lenses or mirrors, but uses a radiation pattern to frame the view. Using this new system, the researchers used only 10 measurements to obtain 400 pixels.

The data (that is, the compression ratio is... This product is real"

Its working principle is: microwaves pass through a thin strip made of metatropic dielectric material, and there are precision-designed metal coils separated by plastic. The rays leak out from the special coils in the metatropic dielectric material along a 40 cm path.

These waves then interfere with each other, and this pattern of light waves emit

When it hits an object, it is reflected off its surface and returned to the detector near the original metatropic material. The detector identifies scene information by combining the intensity of the scattered beam with the waveform after leaving the coil, even though it only captures the incoming material.

A small amount of light, but enough.

Its working principle is: microwaves pass through a thin strip made of metatropic dielectric material, and there are precision-designed metal coils separated by plastic. The rays leak out from the special coils in the metatropic dielectric material along a 40 cm path.

These waves then interfere with each other, and when this pattern of light waves hits an object, it reflects off its surface.

Researchers collect different images of an object by emitting rays of different frequencies... radiated from the transmission line. These frequencies leak out in different places along the waveguide of the metatropic material, creating a new radiation pattern.

Enter the sensor again. Using this set of measurements, we can algorithmically reconstruct the scene of the image, showing the angle of view and the distance from the object to the camera, and this entire

The calculation process only takes 100 milliseconds. This speed is enough even for recording moving objects. However, current microwave or millimeter wave detectors are still very expensive, so most general systems use fewer or smaller detectors. If

Having a system that can compress images while shooting without sacrificing image quality would be a great way to reduce imaging costs.

This new metamaterial image compression system has no moving parts or lenses, and is also very thin. At the same time, the fast enough shooting speed means that one day, when you are going through security at the airport, you may just walk right through

A millimeter-wave scanning device, instead of standing there waiting for a detector to sweep over your body, Hunter said. He also envisions building a metamaterial imaging system on the body of a car to create a device that can "see through" dust and

Collision avoidance system for fog.

This new technology will lead compressed sensing technology to a new era. Compared with traditional imaging systems, microwave imaging systems that abandon lenses will greatly reduce the complexity of the system, so it may make high-end cameras, X-ray scanners and medical 3D

The cost of cutting-edge imaging equipment such as MRI has dropped significantly.

Generally speaking, processing a series of existing information through a certain method so that its length is shortened and the information content is basically or completely unchanged is called compression.

Compression process on your computer

We all know that computers use a binary system. A continuous set of n-digit binary numbers can be used to represent 2 n characters. The current international standard is the ASCII code: using one byte, which is an 8-digit 2

Base code to represent various characters and letters.

Now we only use 2-digit binary code to simply demonstrate the compression process of a string composed of 4 symbols.

Suppose we have such a string of 20-letter data... By default, these four letters are represented by 2-digit binary codes... The number of times each character appears in the string is not equal:

a: 6 times b: 10 times c: 3 times d: 1 time

In computers, data is stored on the hard disk in the form of binary codes... Sort it out and get the new code:

Original encoding...new encoding...look! The data is successfully compressed. This 40-bit length of content is compressed to 34 bits, and the compression rate is 85%.

Looking back at the process, it is easy to find the secret of compression: 'b', which appears most frequently, is represented by a binary code "0", while 'c' and 'd', which appear less frequently, are represented by three-digit binary codes with an increased length.

To represent. By reasonably allocating codes of different lengths, the data can certainly be compressed to a certain extent.

In addition, it can be proved that Huffman tree is one of the most optimized solutions for this type of coding replacement. Because if there is a character that appears more frequently than another character, but its variable length code length is longer than another character, then it must

The total length of the output result can be shortened by exchanging the positions of the two. After a limited number of operations, a situation can be reached where no exchange is possible, which is the case under the Huffman tree rule.

Another interesting question is: although the 40-byte content is compressed to 34 bytes, the corresponding code table needs to be sent to the receiver (without the corresponding code table, it cannot be decompressed). This does not make the compressed

Is the data longer than before compression?

But this does not mean that the algorithm is wrong. This is because "n" is too small (2 in the example, but usually 8 in practice).

The total length is not enough, so the saved capacity is not enough to make up for the storage space of the code table itself. In practical applications, if you have to compress a file with only a few bytes, the resulting compressed package will often be larger than the file.

itself. Usually, the compression software will regenerate and save a Huffman tree after compressing every 4kb to 32kb data.

…

Let me tell you a funny joke: I believe in love.

Hahahahaha~~~

ps (I accidentally pressed delete here just now... meow)!~!

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