Ashish Pandharipande

Abstract: A speech signal processing system comprises an audio processor (103) for providing a first signal representing an acoustic speech signal of a speaker. An EMG processor (109) provides a second signal which represents an electromyographic signal for the speaker captured simultaneously with the acoustic speech signal. A speech processor (105) is arranged to process the first signal in response to the second signal to generate a modified speech signal. The processing may for example be a beam forming, noise compensation, or speech encoding. Improved speech processing may be achieved in particular in an acoustically noisy environment.

TL;DR: The paper provides a full characterization of the Markov Chain describing the protocol behavior and a closed form expression for the stationary distribution of the chain and exact computation or tight approximations for the outage probabilities for all states of theChain are derived.

TL;DR: A combined sleeping and censoring scheme as an energy efficient spectrum sensing technique for cognitive sensor networks to minimize the energy consumed in distributed sensing subject to constraints on the detection performance, by optimally choosing the sleeping and censorship design parameters.

TL;DR: A compressive wide-band spectrum sensing scheme for cognitive radios and the performance of this scheme is evaluated in terms of the mean squared error of the power spectrum density estimate and the probability of detecting signal occupancy.

TL;DR: A two-phase protocol based on cooperative decode-and-forward relaying for a secondary system to achieve spectrum access along with a primary system, which shows that as long as ST is located within a critical radius from PT, there exists a threshold value for alpha above which the outage probability of the primary system will be equal to or lower than the case without spectrum sharing.