The phrase "adaptive hardware" is correct and usable in written English.
It can be used to describe hardware that can adjust or change its functionality based on different conditions or requirements.
Example: "The new gaming console features adaptive hardware that optimizes performance based on the game being played."
Alternatives: "flexible hardware" or "dynamic hardware".
The adaptive hardware system takes the form of a neurofuzzy network implemented on an FPGA device.
Thus, it is profitable to have on-the-shelf shell scalable and adaptive hardware designs that implement these soft techniques.
Some key technologies for system implementation, i.e., the resource pooling, real-time virtualization, adaptive hardware resource allocation are also highlighted.
Considering these observations and taking inspiration from biology, this project attempts to create an adaptive hardware system that is capable of modifying its architecture and thus its behaviour autonomously, to cope with variations in its external environment.
To obtain clear cardiorespiratory responses from the belt sensor probe, adaptive hardware filters with signal conditioners are designed and further software data processing algorithms are proposed for extraction of the relative cardiorespiratory information, such as respiratory cycle (RC) and RR interval (RRI).
This paper describes a Fault Tolerance System (FTS) implemented in a new self-adaptive hardware architecture.
The frameworks for self-adaptivity developed so far usually concentrate either on self-adaptive software or on self-adaptive hardware, but not both.
It shows the wide range of applications for analysis and synthesis during the development process, including vehicle systems, vehicle dynamics, occupant safety, adaptive cruise control, hardware in the loop and fault tolerant real-time systems.
It is noted that the node with capability of selecting the modulation scheme (which is known as adaptive modulation) requires complicated hardware design.
Signal adaptive, multiple-clock-cycle hardware implementation (MCI) of an optimal (Wiener) filter for highly nonstationary two-dimensional (2D) FM signals estimation is developed here.
This paper proposes a hardware-oriented adaptive window size disparity estimation (AWDE) algorithm and its real-time reconfigurable hardware implementation that targets HR video with high quality disparity results.
