Ashish Pandharipande
Philips
253 Papers
2.4K Citations
Ashish Pandharipande is an academic researcher from Philips. The author has contributed to research in topics: Cognitive radio & Signal. The author has an hindex of 34, co-authored 248 publications. Previous affiliations of Ashish Pandharipande include Samsung & University of Iowa.
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Papers
Patent
Speech signal processing
Sriram Srinivasan,Ashish Pandharipande +1 more
- 10 Dec 2009
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.
Cooperative decode-and-forward relaying for secondary spectrum access
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.
483
Jointly cooperative decode-and-forward relaying for secondary spectrum access
Songze Li,Urbashi Mitra,Vishnu V. Ratnam,Ashish Pandharipande +3 more
- 21 Mar 2012
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.
227
Daylight integrated illumination control of LED systems based on enhanced presence sensing
TL;DR: The goal is to determine the optimum dimming levels of the LED sources so as to minimize the power consumption while rendering (i) uniform illumination at a given illumination level in workspace regions that are occupied, and a minimum illumination level of lower value in unoccupied regions, while taking daylight distribution over the workspace plane into account.
184
Smart indoor lighting systems with luminaire-based sensing: A review of lighting control approaches
TL;DR: This article considers smart lighting control systems with luminaire-based sensing for office lighting applications that have a colocated occupancy sensor and light sensor and the sensing information is used to adapt artificial lighting to occupancy and daylight changes.
173