Results 131 to 140 of about 1,033,909 (189)

Adaptive femtosecond pulse compression

Optics Letters, 1997
A practical adaptive method for femtosecond optical pulse compression is demonstrated experimentally for the first time to our knowledge. The method is robust and capable of handling the general case of pulse compression, in which the input pulses are completely uncharacterized or partially characterized.
D, Yelin, D, Meshulach, Y, Silberberg
exaly   +3 more sources

Limit for pulse compression by pulse splitting [PDF]

open access: yesOptical and Quantum Electronics, 2007
Preprint: Weierstraß-Institut für Angewandte Analysis und Stochastik, vol ...
Demircan, Ayhan, Bandelow, Uwe
openaire   +3 more sources

Divided Pulse Nonlinear Compression

Advanced Solid-State Lasers Congress, 2013
We report on the nonlinear pulse compression of temporally divided pulses, which is presented in a proof-of-principle experiment. A single 320 fs pulse is divided into four replicas, spectrally broadened in a solid-core fiber, and subsequently recombined.
A. Klenke   +5 more
openaire   +2 more sources

Pulse compression for a simple pulse

IEEE Transactions on Aerospace and Electronic Systems, 2008
A new pulse compression method for a simple pulse is proposed. The proposed method has a filter with impulse response h(t) whose Fourier transform H(f) is given by D(f)/S(f), where D(f) is the Fourier transform of desired output waveform d(t) and S(f) is the Fourier transform of input signal s(t).
Masanori Shinriki   +2 more
openaire   +1 more source

Pulse compression by pulse-stacking in a KrF amplifier

Applied Optics, 1983
A laser pulse-compression technique employed to obtain intense pulses (~1 GW) from an electron-beampumped KrF amplifier is demonstrated. This technique consists of time-sequencing and angle-coding separate pulses through the amplifier. The system described uses four pulses for a nominal temporal compression factor of 4.
M W, Taylor, J, Goldhar
openaire   +2 more sources

Compressive sensing of a superposition of pulses

2010 IEEE International Conference on Acoustics, Speech and Signal Processing, 2010
Compressive Sensing (CS) has emerged as a potentially viable technique for the efficient acquisition of high-resolution signals and images that have a sparse representation in a fixed basis. The number of linear measurements M required for robust polynomial time recovery of S-sparse signals of length N can be shown to be proportional to S log N ...
Chinmay Hegde, Richard G. Baraniuk
openaire   +2 more sources

Compressive sensing of streams of pulses

2009 47th Annual Allerton Conference on Communication, Control, and Computing (Allerton), 2009
Compressive Sensing (CS) has developed as an enticing alternative to the traditional process of signal acquisition. For a length-N signal with sparsity K, merely M = O(K log N) ≪ N random linear projections (measurements) can be used for robust reconstruction in polynomial time.
Chinmay Hegde, Richard G. Baraniuk
openaire   +2 more sources

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