Results 131 to 140 of about 1,033,909 (189)
Filaments of light dynamically isolate a single attosecond pulse. [PDF]
Ghafur O.
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High energy 1.53-cycle pulses via homogeneous post-compression in a single thin-plate. [PDF]
Jansonas G +3 more
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Adaptive femtosecond pulse compression
Optics Letters, 1997A 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]
Preprint: Weierstraß-Institut für Angewandte Analysis und Stochastik, vol ...
Demircan, Ayhan, Bandelow, Uwe
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Divided Pulse Nonlinear Compression
Advanced Solid-State Lasers Congress, 2013We 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
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Pulse compression for a simple pulse
IEEE Transactions on Aerospace and Electronic Systems, 2008A 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
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Pulse compression by pulse-stacking in a KrF amplifier
Applied Optics, 1983A 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
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Compressive sensing of a superposition of pulses
2010 IEEE International Conference on Acoustics, Speech and Signal Processing, 2010Compressive 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
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Compressive sensing of streams of pulses
2009 47th Annual Allerton Conference on Communication, Control, and Computing (Allerton), 2009Compressive 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
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