The best lossless compression algorithm may not be the same in every case. One of the most popular is Run-Length Encoding (RLE), which encodes data into smaller bytes by identifying repeated information..
What is IQ data?
Basics of I/Q data In general, I/Q data describes a complex baseband signal b(t) which can be transformed to or can be derived from a corresponding real valued RF signal x(t). The “in-phase” component or real part of b(t) is called i(t). The “out-of-phase” component or imaginary part of b(t) is called q(t)..
Lossless compression is a compression technique that does not lose any data in the compression process. Lossless compression “packs” data into a smaller file size by using a kind of internal shorthand to signify redundant data.
Lossy compression can significantly reduce file size, but it can also reduce image quality to the point of distortion, especially if the image is overly compressed. However, quality can be maintained when compression is carefully applied. One of the challenges with lossy compression is that it's irreversible.
Sep 17, 2020In this paper, we analyze the existing IQ data compression schemes exploiting time and spectral signal characteristics. We consider compression.
To be specific， IQ data compression is employed to compress IQ data to be transmitted over the transport links， so as to improve the capacity of the transport links. IQ data herein generally refers to a sequence of signal samples， wherein each signal sample includes an in-phase (I) sample and a quadrature (Q) sample.
Can IQ data compression achieve 4 times CR in 2% eVm?
The proposed method can achieve the CR of 4 times or more in about 2% EVM for the LTE downlink and uplink. The simulation results show that the proposed method is applicable to SIMO and MIMO environments. Latency, error vector magnitude (EVM) and compression ratio (CR) are performance evaluation factors of IQ data compression.
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Does IQ data compression reduce latency?
The purposes of IQ data compression are to minimize the latency, EVM and to maximize the CR. However, there is a tradeoff between them. In this paper, based on the evaluation factors, we analyze existing IQ data compression schemes and propose a simple and efficient method from the analyzed results.
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How to compress IQ data?
In this paper, based on the evaluation factors, we analyze existing IQ data compression schemes and propose a simple and efficient method from the analyzed results. The proposed method is composed of partial cyclic prefix and cyclic suffix insertion, K/L decimation, low-order bits removal, and partial Huffman code.
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What are the performance evaluation factors of IQ data compression?
Abstract:
Latency
error vector magnitude (EVM) and compression ratio (CR) are performance evaluation factors of IQ data compression
The purposes of IQ data compression are to minimize the latency, EVM and to maximize the CR. However, there is a tradeoff between them.
Does IQ data compression reduce latency?
The purposes of IQ data compression are to minimize the latency, EVM and to maximize the CR
However, there is a tradeoff between them
In this paper, based on the evaluation factors, we analyze existing IQ data compression schemes and propose a simple and efficient method from the analyzed results
How to compress IQ data?
In this paper, based on the evaluation factors, we analyze existing IQ data compression schemes and propose a simple and efficient method from the analyzed results
The proposed method is composed of partial cyclic prefix and cyclic suffix insertion, K/L decimation, low-order bits removal, and partial Huffman code
What are the performance evaluation factors of IQ data compression?
Abstract: Latency, error vector magnitude (EVM) and compression ratio (CR) are performance evaluation factors of IQ data compression
The purposes of IQ data compression are to minimize the latency, EVM and to maximize the CR
However, there is a tradeoff between them
When IQ writes to disk it takes a memory page with whatever data it contains (user data, indexes, bitmaps, and so on) and runs it through a compression algorithm. The end result of the compression algorithm is a chunk of data that is, by default, a fraction of the page size that is evenly divisible by 16 (16 blocks per page is the default).
Iq data compression
Microprocessor range
QorIQ is a brand of ARM-based and Power ISA–based communications microprocessors from NXP Semiconductors. It is the evolutionary step from the PowerQUICC platform, and initial products were built around one or more e500mc cores and came in five different product platforms, P1, P2, P3, P4, and P5, segmented by performance and functionality. The platform keeps software compatibility with older PowerPC products such as the PowerQUICC platform. In 2012 Freescale announced ARM-based QorIQ offerings beginning in 2013.
