... DoA **estimation** performance is mostly dictated by the snapshot corresponding to the minimal texture ...power **of** the texture to 1 ( β = ν −1 ), the average value **of** the minimal over T ¼8 texture values ...

10

... presents **a** modified orthogonal prop- agator method (OPM) with spline interpolation for **direction** **of** **arrival** (DoA) ...the **noise**-free signal model. When **noise** exists, the main ...

6

... MANUSCRIPT **noise** is an additive spatially **and** temporally white **Gaussian** **noise**, theoretically, it 25 only affects the main diagonal elements **of** the data covariance ...matrix. **In** ...

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... relaxation **in** terms **of** support recovery. Moreover, we found that **a** direct minimization **of** F 0 using **a** proximal gradient algorithm [35] is unable to consistently recover the support over ...

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... **k** ; + **K** : (13) Consequently, it is quite standard to generate samples drawn from f(R R Rj; ZZ Z) **and** f(jR R R; ZZ ...use **of** **a** Gibbs-sampler [20], [24], whose procedure is ...

7

... **Direction** detector for **distributed** targets **in** unknown **noise** **and** interference ...Besson **and** G. Ricci Adaptive detection **of** **distributed** radar targets **in** ...

3

... on **direction** **of** **arrival** (DOA) **estimation** accuracy for non-circular **Gaussian** sources **in** the general case **of** an arbitrary unknown **Gaussian** **noise** ﬁeld ...

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... e.g., **in** HF **direction** finding applica- tions, external **noise** is dominated by lightning strikes **and** being practically white for linear uniform arrays is strongly non- ...Also, **in** radar ...

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... contains **noise** only. Examples **of** this problem formulation are numerous **in** the area **of** passive location **and** **direction** ...instance, **in** the so-called over-sampled 2D HF ...

13

... effect **of** the coherency between signals, **a** number **of** techniques have been developed to de- correlate the correlation between ...proposed **in** [17] **and** modified **in** [14], [18], [19] ...

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... as **a** continuous variable **and**, even if the initial condition (at t = 0) **of** the spreading consists **in** one single infectious individual **in** **a** given city i 0 , all cities have ...

34

... distributions **of** these different images **and** the corresponding classes provided by EM (each point is assigned to its most likely ...value **K** = 10 that we have chosen here is the result **of** ...

36

... white **Gaussian** variables [10]. The deterministic **and** stochastic Cramer Rao Bounds (CRB) have also been derived [10] **and** it has been shown that the UML is efficient whereas the CML is not, because the ...

6

... concept **of** **Gaussian** **mixture** filters, first devoted to minimum variance filtering, occurs **in** the MTE issue provided by replacing the Sum operator by **a** Max operator (section ...recall ...

7

... detection **of** **distributed** targets has been addressed **in** [1] **and** [2]; **noise** is modeled **in** terms **of** independent, com- plex normal random vectors with **a** common ...

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... INTRODUCTION **AND** PROBLEM STATEMENT I N RADAR applications, the optimal processing scheme for detecting **a** target buried **in** disturbance (typically clutter **and** thermal **noise**) consists, ...

11

... Abstract **In** this paper, we propose an edge detection technique based on some local smoothing **of** the image followed by **a** statistical hypothesis testing on the ...as **a** zero-crossing **of** ...

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... located **in** the dipole null plane; the resulting inverse problem for the identification **of** the scattering filter was very poorly conditioned **and** no filters could be identified for an accurate ...

11

... d, **and** number **of** samples n are large with **a** fixed ratio α = n/d has largely non-intuitive ...behaviour. **A** number **of** the associated statistical surprises are for example pre- sented ...

22

... as **a** reference. These scores were obtained with **a** classic EM algorithm for **Gaussian** ...fitting **a** **Gaussian** **mixture** on **a** data set is equivalent to building **a** cluster ...

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