Robust Technology with Analysis of Interference in Signal Processing

1. Front Matter

   Pages i-xii

   PDF

2. Needs in Development of Statistical Analysis Technology

   • Telman Aliev

   Pages 1-19

3. Robust Methods for Determining Estimates of Statistical Characteristics

   • Telman Aliev

   Pages 21-45

4. Robust Technology of Correlation Analysis

   • Telman Aliev

   Pages 47-65

5. Robust Technology for Improving Correlation Matrix Stipulation and Identification Adequacy

   • Telman Aliev

   Pages 67-98

6. Robust Technology of Harmonic Analysis

   • Telman Aliev

   Pages 99-120

7. Position-Binary Technology of Statistical Analysis of Cyclic Processes and Noises

   • Telman Aliev

   Pages 121-141

8. Algorithms and Technology of Analysis of Interference as Information Carrier

   • Telman Aliev

   Pages 143-162

9. Application of Robust Technology for Solving Problems of Control, Diagnostics, and Forecasting

   • Telman Aliev

   Pages 163-193

10. Back Matter

    Pages 195-199

    PDF

Robust Technology with Analysis of Interference in Signal Processing discusses for the first time the theoretical fundamentals and algorithms of analysis of noise as an information carrier. On their basis the robust technology of noisy signals processing is developed. This technology can be applied to solving the problems of control, identification, diagnostics, and pattern recognition in petrochemistry, energetics, geophysics, medicine, physics, aviation, and other sciences and industries. The text explores the emergent possibility of forecasting failures on various objects, in conjunction with the fact that failures follow the hidden microchanges revealed via interference estimates. This monograph is of interest to students, postgraduates, engineers, scientific associates and others who are concerned with the processing of measuring information on computers.

• Analysis
• Signal
• Text
• algorithm
• algorithms
• controlling
• model
• signal processing

"T.A. Aliev obtains important results on interference analysis of noisy signals. They offer great possibilities and prospects for solving numerous problems of statistical analysis while not fulfilling the known classical conditions. His results on interference analysis are completely unexpected and of great practical importance."
(K.A. Pupkov, Moscow State Technical University)

• Academy of Sciences of Azerbaijan, Baku, Azerbaijan

  Telman Aliev

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