scholarly journals Maximum likelihood estimation of stochastic frontier models by the Fourier transform

2012 ◽  
Vol 170 (1) ◽  
pp. 234-248 ◽  
Author(s):  
Efthymios G. Tsionas
Keyword(s):  
Fourier Transform ◽  
Maximum Likelihood ◽  
Maximum Likelihood Estimation ◽  
Stochastic Frontier ◽  
Likelihood Estimation ◽  
Stochastic Frontier Models ◽  
The Fourier Transform

scholarly journals Analysis of communications and implementation performance of FFT based carrier synchronization of BPSK/QPSK bursts

2008 ◽  
Vol 6 ◽  
pp. 95-100 ◽  
Author(s):  
U. Wasenmüller ◽  
T. Brack ◽  
N. Wehn
Keyword(s):  
Fourier Transform ◽  
Maximum Likelihood ◽  
Maximum Likelihood Estimation ◽  
Likelihood Estimation ◽  
Frequency Offset ◽  
Frequency Offset Estimation ◽  
Hardware Complexity ◽  
Carrier Synchronization ◽  
Phase Offset ◽  
Combine Phase

Abstract. Carrier synchronization is a vital part of every inner receiver in wireless communications. Frequency offset and phase offset of the received burst must be estimated and the received samples must be corrected according to the estimation. An approximation of the maximum likelihood estimation of frequency offset is given by the Fast Fourier Transform (FFT). The accuracy of the estimation as well as the hardware complexity and throughput depend on the number of FFT points. We demonstrate three techniques to improve the accuracy of the FFT based frequency offset estimation respectively to reduce the number of needed FFT points. These three techniques as well as the reference algorithm without improvements combine phase offset estimation with frequency offset estimation. We present the communications and FPGA implementation performance of these techniques.

scholarly journals Analisis Efisiensi Teknis Pada Usahatani Kedelai (Glycine max (L.) Merril) Di Kecamatan Peudada Kabupaten Bireuen, Aceh

Jurnal Agrium ◽  
2017 ◽  
Vol 12 (1) ◽  
Author(s):  
Riza Putri ◽  
Murdani Murdani ◽  
Fadli Fadli
Keyword(s):  
Glycine Max ◽  
Maximum Likelihood ◽  
Maximum Likelihood Estimation ◽  
Stochastic Frontier ◽  
Likelihood Estimation ◽  
Stochastic Frontier Model ◽  
Snowball Sampling ◽  
Glycine Max L

Penelitian ini bertujuan untuk menganalisa tingkat efisiensi teknis menggunakan factor produksi pada usahatani kedelai di Kecamatan Pedada, Kabupaten Bireun. Pengambilan sampel menggunakan teknik snowball sampling menggunakan model fungsi Stochastic Frontier Model, koefisien regresi dihitung menggunakan metode Maximum Likelihood Estimation (MLE). Hasil penelitian menunjukkan bahwa ukuran lahan and benih merupakan variabel yang sangat mempengaruhi peningkatan produksi kedelai. Rata-rata tingkat efisiensi teknis input yang digunakan adalah 83% dari potensi produksi maksimum yang akan didapatkan. Umur petani merupakan faktor yang berpengaruh nyata terhadap ketidak efisiensian usaha teknis untuk meningkatkan produksi kedelai

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