Statistics for complex variables and signals — Part II: signals

Detection of composite signals: Part II.

Detection of composite signals: Part II. Examples and performance comparison

✍ Jae Cheol Son; Iickho Song 📂 Article 📅 1991 🏛 Elsevier Science 🌐 English ⚖ 679 KB

Time varying higher order statistics for

Time varying higher order statistics for FM signals analysis and decision

✍ M. Colas; G. Gelle; G. Delaunay 📂 Article 📅 2004 🏛 Elsevier Science 🌐 English ⚖ 653 KB

An introduction to distribution theory f

An introduction to distribution theory for signals analysis.: Part II. The convolution

✍ David C. Smith 📂 Article 📅 2006 🏛 Elsevier Science 🌐 English ⚖ 288 KB

Local and Global Signal Variability Stat

Local and Global Signal Variability Statistics in a Mobile Urban Environment

✍ Gláucio L. Siqueira; Eduardo J.A. Vásquez 📂 Article 📅 2000 🏛 Springer US 🌐 English ⚖ 236 KB

Call for Papers: Statistical Signal Extr

Call for Papers: Statistical Signal Extraction and Filtering

📂 Article 📅 2003 🏛 Elsevier Science 🌐 English ⚖ 84 KB

The need to extract signals and other components from time series is a requirement in many empirical sciences, including Medicine, Engineering, Economics and Climatology, to name but a few. Nowadays, a wide variety of methods are available, including Wiener--Kolmogorov Filtering, Kalman Filtering, P

Call for Papers: Statistical Signal Extr

Call for Papers: Statistical Signal Extraction and Filtering

📂 Article 📅 2004 🏛 Elsevier Science 🌐 English ⚖ 85 KB

The need to extract signals and other components from time series is a requirement in many empirical sciences, including Medicine, Engineering, Economics and Climatology, to name but a few. Nowadays, a wide variety of methods are available, including Wiener--Kolmogorov Filtering, Kalman Filtering, P