... entire OFDM symbol, and such pilot OFDM symbols are interleaved along the time axis with pure data OFDM symbols In mathematics, |V | = J and |P (m) [jv ]| < K An example of the Block -type scheme ... 0X×V, with ¯ (m) D {ej = 2 (m) K gμ am }, m ⎡ ⎢ ⎢ =⎢ ⎣ 2 e j K 0 (j0 (K+L)+L+g) 2 e j K Q (j0 (K+L)+L+g) ··· 2 e j K 0(jV−1 (K+L)+L+g) 2 · · · e j K Q(jV−1 (K+L)+L+g) {:,q} 2j XK 0(Kq−μ ... Pilot-assisted time- varying channel estimation for OFDM systems IEEE Trans Signal Process 55, 22 26 22 38 (20 07) AP Kannu, P Schniter, Minimum mean-squared error pilot-aided transmission for MIMO doubly...
... multitrellis VA (M- VA) with different decision delays DL (example CIR h(1) = [h0 0 0 h1 h2 ]T ) M- VA (D = 1) M- VA (D = 2) M- VA (D = 3) O M4 O 2M +M +M +M O 4M + 3M +M +M complexity of the conventional ... (D = 2, binary transmission, example CIR h(1) = [h0 0 0 h1 h2 ]T ) Table 2: Computational complexity in terms of the overall number of branch metrics computed for each symbol decision: multitrellis ... 363–378, 19 72 [ 12] L R Bahl, J Cocke, F Jelinek, and J Raviv, “Optimal decoding of linear codes for minimizing symbol error rate,” IEEE Transactions on Information Theory, vol 20 , no 2, pp 28 4– 28 7,...
... of the loudspeaker, which is not compensated for.) Figure 12 plots the time- domain responses of the original simulated loudspeaker, and its minimum-phase and nonminimum-phase versions Minimum-phase ... roll-off M Karjalainen and T Paatero 11 20 Magnitude (dB) Amplitude 0.5 0.5 10 10 20 Time (ms) 1 02 (a) 104 (b) 20 Magnitude (dB) 20 Magnitude (dB) 103 Frequency (Hz) 10 10 20 10 10 20 1 02 103 ... nonminimumphase equalization Minimum-phase inversion of the measured response is often applied because of simplicity, after which the EQ filter is designed to approximate this minimum-phase part of...
... 31–38, 1985 28 55 [27 ] J Shore and R Johnson, “Axiomatic derivation of the principle of maximum entropy and the principle of minimum cross-entropy,” IEEE Trans Inform Theory, vol 26 , no 1, pp 26 –37, ... we obtain [29 ] α0 (t) = ln m (t) , m( t) (14) 28 52 EURASIP Journal on Applied Signal Processing where m( t) is the desired time marginal and m (t) is the time marginal estimated from W (t, ω) Now, ... from W (t, ω) (a prior estimate of the density) by minimizing the cross-entropy between them, given by [29 ] Wgγn (t, ω) n=0 H (M, W ) = M −1 M −1 Rn x, gγn + Rm x, g m n=0 m= 0 m= n ∗ W[gγn ,gγm...
... r=1 r =2 0.1 0 .2 0.3 0.4 K=0.5 K=1 K =2 0.0 I(t) 15 tm=0 tm=5 tm=10 −5 10 t Effects of tm on I(t) 15 tm=0 tm=5 tm=10 −5 10 15 10 15 t Effects of a on I(t) a=0.5 a=1 a =2 0 .2 0.1 0.0 0.0 0.1 0 .2 0.3 ... 0 .2 0.3 10 t Effects of tm on C(t) −5 I(t) r=0.5 r=1 r =2 0.3 C(t) 0.0 0 .2 0.4 0.6 0.8 1.0 Effects of r on C(t) 0.0 0 .2 0.4 0.6 0.8 1.0 2. 0 Effects of K on C(t) K=0.5 K=1 K =2 −5 ❢r♦♠ ❘✐❝❤❛r❞s ♠♦❞❡❧ ... ♦❢ K, r, tm, a = ❛♥❞ I(t) 1.5 1.0 0.0 t 10 0.0 0 .2 0.4 0.6 0.8 1.0 −5 15 10 15 10 15 t Effects of a on C(t) a=0.5 a=1 a =2 −5 Effects of K on I(t) 0.0 0.1 0 .2 0.3 0.4 0.5 t Effects of r on I(t)...
... j2 π( + Δk − k)τ p KTs J0 2 fm ΔnT 2M + × exp γ∗ (nT) exp p KTs 2M + Δk= M × exp P P − j2 π( + Δk − k)τ p M = γ p (n + Δn)T p=1 − j2 π( + Δk)τ p M = P P p=1 M σγ p − j2 π( + Δk − k)τ p KTs Δk= M ... H(n − 2D), H(n) is Gaussian with mean MH and covariance matrix ΣH , given by [ 32] − MH = Σ 12 22 1 H(n − D) H(n − 2D) ρ1 − 2 −ρ1 + 2 (10) H(n − D) + H(n − 2D), − ρ1 − ρ1 2 − 2 1 + 2 1 2 − 2 − ... transmitter To maximize the SNR, the receiver performs maximal ratio combining (MRC) With MRC, the fm D = 0, Nt = fm D = 0.1, Nt = fm D = 0, Nt = fm D = 0.1, Nt = fm D = 0 .2, Nt = Figure 2: Achievable...
... in time and frequency In addition, this paper presents multilevel codes matched to the new modulation scheme Multiantenna systems, also known as multiple-input multiple-output (MIMO) systems, ... exploiting frequency /time- multiplexed pilots The tenth paper by Mallik and Koetter proposes a generalized multicarrier scheme for time- varyingchannels with modulating and demodulating functions ... performance of a wireless communications system through the use of appropriate coding However, channel estimation (and thus also data detection) is far more complicated in a MIMO system than...
... Physiol 20 06, 574:41-53 22 Hwang J, Kim SH, Lee MS, Kim SH, Yang HJ, Kim MJ, Kim HS, Ha J, Kim MS, Kwon DY: Anti-obesity effects of ginsenoside Rh2 are associated with the activation of AMPK signaling ... adipocyte Biochem Biophys Res Commun 20 07, 364:10 02- 1008 23 Hwang JT, Lee MS, Kim HJ, Sung MJ, Kim HY, Kim MS, Kwon DY: Antiobesity effect of ginsenoside Rg3 involves the AMPK and PPARgamma signal ... 56:337-345 26 Kaneto H, Matsuoka TA, Nakatani Y, Kawamori D, Miyatsuka T, Matsuhisa M, Yamasaki Y: Oxidative stress, ER stress, and the JNK pathway in type diabetes J Mol Med 20 05, 83: 429 -439 27 Han...
... 28 2. 3 .2 2.3 20 2. 1 .2 2 .2 Kinematics Interval Type- 2Fuzzy Logic System 30 Dynamic Positioning via Adaptive IT2 Fuzzy Control 3.1 38 Control Plant Model ... applications 27 2. 3 Interval Type- 2Fuzzy Set and System An IT2 FLS is a fuzzy system that uses IT2 fuzzy set and/or IT2 fuzzy logic and inference 2. 3.1 Interval Type- 2Fuzzy Set ˜ A type- 2fuzzy set ... 25 2. 2.1 Basic Structure 25 2.2 .2 Universal Approximation Property 26 Interval Type- 2Fuzzy Set and System 28 2. 3.1 Interval Type- 2 Fuzzy...