Sampling Frequency Analysis for Efficient Stochastic Resonance in Digital Signal Processing

Real time cantilever signal frequency determination using digital signal processing

We describe a digital signal processing method for high precision frequency evaluation of approximately sinusoidal signals based on a computationally efficient method. We demonstrate frequency measurement enabling sensitive measurement of the oscillatory force exerted on a micromechanical cantilever. We apply this technique to detection of the force signal arising in a micromechanically detecte...

Area Efficient Vedic Multiplier for Digital Signal Processing Applications

This paper proposes a method for area efficient fractional fixed point(Q-format) multiplier based on Urdhava Tiryakbhyam of vedic mathematics. Even though conventional or normal Urdhava multipliers carries high speed mathematical operations, they consume more chip area. Hence we proposed a pipelined multiplier architecture in this paper which consumes less chip area. The pipelined multiplier ar...

Power-Efficient Tightly-Coupled Processor Arrays for Digital Signal Processing

Highly efficient signal processing for frequency agile power line communications

A modified frequency hopping signaling scheme has recently received a considerable attention by the designers of power line communication systems because of its insensitivity to frequencyselective and time-variant attenuation and high level of interference. In frequency hopping system, the increase of the data rate without increase of the hop rate is possible only if the receiver can detect all...

Enhancement of Noise Performance in Digital Receivers by Over Sampling the Received Signal

In wireless channel the noise has a zero mean. This channel property can be used in the enhancement of the noise performance in the digital receivers by oversampling the received signal and calculating the decision variable based on the time average of more than one sample of the received signal. The averaging process will reduce the effect of the noise in the decision variable that will approa...