نتایج جستجو برای: variable compression ratio
تعداد نتایج: 823424 فیلتر نتایج به سال:
Motion estimation is the most important module in H.264 video encoding algorithm since it offer the best compression ratio compared to intra prediction and entropy encoding. However, using the allowed features for inter prediction such as variable block size matching, multi-reference frames and fractional pel search needs a lot of computation cycles. For this purpose, we propose in this paper a...
Test compression / decompression scheme for reducing the test application time and memory requirement of an LSI tester has been proposed. In the scheme, the employed coding algorithms are tailored to a given test data, so that the tailored coding algorithm can highly compress the test data. However, these methods have some drawbacks, e.g., the coding algorithm is ineffective in extra test data ...
Compression is one of the major topics in the field of research as it is used for storing data in a lesser storage space of the repository. Compression is furthermore required in case of sending data from source to destination through network (internet or intranet). The time required is less in case of sending fewer amounts of data. So, compression is a necessity for transmission of original hu...
Background: In the telemedicine process, using digital techniques in disease diagnosis caused to have felt needs of archiving and storing patient information and high bandwidth in data transfer. Methods: This study aimed at introducing an efficient way of multi-stage compression of mammographic image data based LM algorithm and artificial neural networks. At First, data derived from mamm...
The paper is devoted to the ECG-dedicated compression algorithm based on the event-driven variable quantization level in three upper octaves of the time-frequency signal representation. The algorithm uses an integer-to-integer reversible wavelet transform and the segmentation procedure developed for diagnostic purpose. Our method was implemented in Matlab and tested against the world-standard d...
In this paper, we propose a lossy data compression framework based on an approximate two-dimensional (2D) pattern matching (2D-PMC) extension of the Lempel-Ziv (1977, 1978) lossless scheme. This framework forms the basis upon which higher level schemes relying on differential coding, frequency domain techniques, prediction, and other methods can be built. We apply our pattern matching framework...
Compression is a reduction of the dynamic range of a signal, meaning that the ratio of the loudest to the softest levels of a signal is reduced. This is accomplished using an amplifier with variable gain that can be controlled by the amplitude of the input signal: when the input exceeds a preset threshold level, the gain is reduced. The figure below is a device input/output graph that shows the...
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