It is possible to improve the features supported by devices with embedded systems by increasing the processor computing power, but this always results in higher costs, complexity, and power consumption. An interesting alternative is to use the growing networking infrastructures to do remote processing and visualization, with the embedded system mainly responsible for communications and user int...

Communication components (address, instruction, and data buses and associated hardware like I/O pins, pads, and buffers) are contributing increasingly to the area/cost and power consumption of microprocessor systems. To decrease costs due to address buses, we propose to use narrow widths for underutilized buses (hardware-only compression) to transmit information in multiple cycles. We analyze p...

We present a state-of-the-art linear redshift distortion analysis of the recently published IRAS Point Source Catalog Redshift Survey (PSCz). The procedure involves linear compression into 4096 Karhunen-Loève (signal-to-noise) modes culled from a potential pool of ∼ 3× 10 modes, followed by quadratic compression into three separate power spectra, the galaxy-galaxy, galaxy-velocity, and velocity...

Ìn this paper, we propose two code based techniques: Variable-to-Fixed codes and Fixed-to-Variable codes for power efficient test data compression. The proposed scheme with the aim of achieving high compression ratio and low power consumption relies on reducing, the number of bits for representing the original test vector and the number of transitions per second. Simulation results on ISCAS‟89 ...

A pseudorandom test patterns are generated using low power programmable generator with desired toggling levels and enhanced fault coverage gradient. A linear feedback shift register drives a phase shifter to produce binary sequence using preselected toggling (PRESTO) activity. Several controls of the generator are selected automatically for easy and precise tuning. For shaping the test power en...

Wireless telemonitoring of physiological signals is an important topic in eHealth. In order to reduce on-chip energy consumption and extend sensor life, recorded signals are usually compressed before transmission. In this paper, we adopt compressed sensing (CS) as a low-power compression framework, and propose a fast block sparse Bayesian learning (BSBL) algorithm to reconstruct original signal...

Conventional DCT maps integers to floating point numbers, the computation cost and the power consumption can not be neglected, especially the cost of floating point multiplication. Integer DCT is low-complexity implementation of DCT. It requires only shifts and adds. It requires small silicon area. Integer arithmetic is quicker, easier to code and quantize. Hence this will result in speeding up...