Real-time High-speed Lossless CompressionCVC Wave (Waveform Data Compression)

Real-time High-speed Lossless Compression Library Optimized for Waveforms

Conventional methods:

  • Run slow and take too long time to complete.
  • Processing speed highly depends on the type of input data.
  • Not suitable for embedded applications due to large software size.
  • Lower compression ratio depending on the data contents.
  • Freewares may involve ambiguous licenses.
  • General compression means easy decompression.

CVC Wave:

  • Achieves overwhelmingly faster compression than conventional methods.
  • Stable processing speed and virtually real-time processing.
  • Small-scale software implementation makes it ideal for embedded applications.
  • Higher compression ratio than conventional methods.
  • Machine-independent source code fits any execution environments.
  • Highly secure due to our proprietary process.
  • Includes a free license for a dedicated library for decompression (limited-function version).

CVC Wave: Usage

Conceptual drawing of CVC Wave
  • To use CVC Wave, it is necessary to control compression/decompression (make API calls) from a customer's software.
  • Data passing method for CVC Wave is essentially memory to memory.
  • Allocation and management of the memories for original images and compressed images should be handled by a customer's software.

Supported environment:

CVC Wave supports wide variety of environments used in embedded devices:
  • OS: Windows, Linux, uITRON, T-Kernel, VxWorks, non-OS system and more
  • CPU: Intel family, Renesas H8 series, SH family, ARM family and more

* Cannot read from or write to a file in an environment that does not support any file systems.

CVC Wave: Applications

Compressed storage of various data on manufacturing equipments.
Compressed storage of various data on manufacturing equipments.
Speeding-up communications and compressed storage of various smart factory data.
Speeding-up communications and compressed storage of various smart factory data.
Speeding-up communications and power saving for remote monitoring systems.
Speeding-up communications and power saving for remote monitoring systems.
Compressed storage of analog sensor data.
Compressed storage of analog sensor data.
Experiment data archive in lab environments.
Experiment data archive in lab environments.
Waveform data compaction in IoT clouds and data centers.
Waveform data compaction in IoT, clouds and data centers.