| theorem | Theorem | 255 | 12 | 2.0015 | 1206.1925,1206.2387,etc |
| signal to noise ratio | SNR | 127 | 10 | 1.001685 | 1206.0197,1206.1973,etc |
| additive white gaussian noise | AWGN | 62 | 9 | 1.001009 | 1206.0197,1206.2322,etc |
| maximum likelihood | ML | 113 | 8 | 1.004075 | 1206.0050,1206.3189,etc |
| mean square error | MSE | 125 | 8 | 2.003281 | 1206.1389,1206.1479,etc |
| channel state information | CSI | 108 | 8 | 1.002505 | 1206.3029,1206.3719,etc |
| minimum mean square error | MMSE | 47 | 7 | 1.00059 | 1206.1116,1206.2496,etc |
| probability density function | PDF | 28 | 7 | 1.000548 | 1206.2478,1206.2700,etc |
| partial differential equation | PDE | 86 | 6 | 1.001314 | 1206.0047,1206.1479,etc |
| signal to interference plus noise ratio | SINR | 115 | 6 | 2.004181 | 1206.1973,1206.4176,etc |
| expectation maximization | EM | 184 | 6 | 1.008826 | 1206.1973,1206.4221,etc |
| multiple input multiple output | MIMO | 94 | 5 | 1.001369 | 1206.0197,1206.1973,etc |
| mean squared error | MSE | 87 | 5 | 2.001488 | 1206.0197,1206.1299,etc |
| multiple access channel | MAC | 96 | 5 | 2.000904 | 1206.0197,1206.3138,etc |
| bit error rate | BER | 73 | 5 | 1.003347 | 1206.2478,1206.3819,etc |
| markov chain monte carlo | MCMC | 27 | 4 | 2.00068 | 1206.0262,1206.4162,etc |
| hidden markov model | HMM | 63 | 4 | 1.002327 | 1206.0500,1206.4221,etc |
| semidefinite programming | SDP | 19 | 4 | 2.001269 | 1206.0663,1206.1116,etc |
| least squares | LS | 24 | 4 | 2.001708 | 1206.0663,1206.2197,etc |
| base station | BS | 178 | 4 | 2.006285 | 1206.1116,1206.2292,etc |
| zero forcing | ZF | 36 | 4 | 1.002126 | 1206.1116,1206.4176,etc |
| iterated function system | IFS | 68 | 4 | 2.003704 | 1206.1143,1206.2177,etc |
| maximum a posteriori | MAP | 10 | 4 | 1.000209 | 1206.1753,1206.1831,etc |
| singular value decomposition | SVD | 27 | 4 | 1.000574 | 1206.1973,1206.3612,etc |
| one dimensional | 1D | 20 | 4 | 2.000984 | 1206.3846,1206.4893,etc |
| decode and forward | DF | 67 | 4 | 2.003356 | 1206.4389,1206.5525,etc |
| algorithm | Algorithm | 37 | 3 | 2.001103 | 1206.0087,1206.0313,etc |
| degrees of freedom | DoF | 77 | 3 | 2.00203 | 1206.0197,1206.5144,etc |
| gaussian free field | GFF | 22 | 3 | 1.000365 | 1206.0212,1206.1671,etc |
| reproducing kernel hilbert space | RKHS | 39 | 3 | 2.000911 | 1206.0283,1206.0459,etc |
| two dimensional | 2D | 8 | 3 | 1.000696 | 1206.0355,1206.3846,etc |
| random matrix theory | RMT | 19 | 3 | 2.000494 | 1206.0355,1206.4584,etc |
| compressive sensing | CS | 43 | 3 | 1.001108 | 1206.0663,1206.1973,etc |
| basis pursuit | BP | 8 | 3 | 1.000425 | 1206.0663,1206.2322,etc |
| orthogonal matching pursuit | OMP | 54 | 3 | 2.003378 | 1206.0663,1206.2197,etc |
| restricted isometry property | RIP | 37 | 3 | 1.000901 | 1206.0871,1206.6003,etc |
| central limit theorem | CLT | 18 | 3 | 1.001063 | 1206.0895,1206.4762,etc |
| amplify and forward | AF | 22 | 3 | 1.001664 | 1206.1116,1206.3029,etc |
| hamilton jacobi bellman | HJB | 3 | 3 | 1.000114 | 1206.1719,1206.1838,etc |
| compressed sensing | CS | 49 | 3 | 2.003055 | 1206.2322,1206.6003,etc |
| linear programming | LP | 142 | 3 | 2.005006 | 1206.2322,1206.2568,etc |
| low density parity check | LDPC | 13 | 3 | 2.00218 | 1206.2568,1206.4914,etc |
| kullback leibler | KL | 70 | 3 | 1.004135 | 1206.2994,1206.3612,etc |
| discrete fourier transform | DFT | 14 | 3 | 1.001609 | 1206.3164,1206.6304,etc |
| positive operator valued measure | POVM | 76 | 3 | 1.002427 | 1206.3707,1206.2884,etc |
| quality of service | QoS | 26 | 3 | 2.000384 | 1206.3719,1206.4176,etc |
| multiple input single output | MISO | 29 | 3 | 2.000529 | 1206.3719,1206.5144,etc |
| cumulative distribution function | CDF | 57 | 3 | 2.003791 | 1206.3965,1206.5865,etc |
| bardeen cooper schrieffer | BCS | 21 | 3 | 2.00104 | 1206.6081,1206.2687,etc |