Signal processing noise:第一次发帖，请多多关照
1 Probability and Statistics
1.1 Probability: Basic Concepts
1.2 Random Variables
1.2.1 Probability Distribution Function
1.2.2 Probability Distribution Density
1.2.3 Numerical Characteristics
1.3 Stochastic Processes
1.3.1 Main Definitions
1.3.2 Probability Distribution Function and Density
1.3.3 Characteristic Function
1.3.4 Moments of Stochastic Process
1.3.5 Classification of Stochastic Processes
1.3.6 Ergodic and Non-Ergodic Stationary Processes
1.4 Correlation Function
1.5 Spectral Density
1.6 Statistical Characteristics
1.6.1 Main Definitions
1.6.2 Statistical Numerical Characteristics
1.6.3 Precision of the Statistical Characteristic Definition
1.6.4 Statistical Characteristics of the Ergodic Stationary
Stochastic Processes
1.6.5 Precision of Statistical Characteristics of the Ergodic
Stationary Stochastic Processes
1.6.5.1 Definition of the Mean M [RXX ** (τ)]
1.6.5.2 The Mean of the Statistical Variance
1.7 Conclusions
References
2 Classical and Modern Approaches to Signal
Detection Theory
2.1 Gaussian Approach
2.1.1 Gaussian Processes
2.1.2 Karhunen–Loeve Series Expansion Method
2.1.3 Variational Method
2.2 Markov Approach
2.2.1 Markov Processes
2.2.2 Basic Principles
2.3 Bayes’ Decision-Making Rule
2.4 Unbiased and Invariant Decision-Making Rules
2.4.1 Unbiased Rule
2.4.2 Invariant Rule
2.5 Mini-Max Decision-Making Rule
2.6 Sequential Signal Detection
2.7 Signal Detection in the Presence of Non-Gaussian
Noise
2.8 Non-Parametric Signal Detection
2.9 Conclusions
References
3 Main Characteristics of Multiplicative Noise
3.1 Classification of the Noise and Interference
3.2 Sources of Multiplicative Noise
3.2.1 Propagation and Reflection of Radio Waves
3.2.2 Transmitter
3.2.3 Receiver or Detector
3.2.4 Stimulus of Multiplicative Noise
3.3 Classification and Main Properties of Multiplicative
Noise
3.3.1 Main Peculiarities of Multiplicative Noise
3.3.2 Classification of Multiplicative Noise
3.4 Correlation Function and Energy Spectrum
of Multiplicative Noise
3.4.1 Deterministic and Quasideterministic
Multiplicative Noise
3.4.2 Stationary Fluctuating Multiplicative
Noise—Correlation Function of the Noise
Modulation Function
3.4.3 Stationary Fluctuating Multiplicative Noise—Energy
Spectrum of the Noise Modulation Function
3.4.3.1 Distortions of the Signal Attributable to
the Wide-Band Gaussian Stationary Process
3.4.3.2 Distortions of the Signal Attributable
to the Narrow-Band Gaussian Stationary
Process
3.4.4 Pulse-Fluctuating Multiplicative Noise—Energy
Spectrum of the Noise Modulation Function
3.5 Generalized Statistical Model of Multiplicative Noise
3.6 Conclusions
References
4 Statistical Characteristics of Signals under the Stimulus
of Multiplicative Noise
4.1 Deterministic and Quasideterministic
Multiplicative Noise
4.1.1 Periodic Multiplicative Noise
4.1.2 Non-Periodic Deterministic Multiplicative Noise
4.2 Stationary Fluctuating Multiplicative Noise
4.2.1 Characteristics of the Undistorted Component
of the Signal
4.2.2 Characteristics of the Noise Component of the Signal
4.3 Ensemble and Individual Realizations of the Signal
4.3.1 Undistorted Component of the Signal in Individual
Realizations and Ensemble of the Signals
4.3.2 Noise Component of the Signal in Individual
Realizations and Ensemble of the Signals
4.4 Probability Distribution Density of the Signal
in the Additive Gaussian Noise under the Stimulus
of Multiplicative Noise
4.4.1 Probability Distribution Density of the Signal under
the Stimulus of Multiplicative Noise
4.4.1.1 Amplitude and Phase Distortions
of the Signal as Independent
4.4.1.2 Amplitude and Phase Distortions
of the Signal as Functionally Related
4.4.2 Probability Distribution Density of the Signal
in Additive Gaussian Noise under the Stimulus
of Multiplicative Noise
4.4.2.1 Amplitude and Phase Distortions
of the Signal as Independent
4.4.2.2 Amplitude and Phase Distortions
of the Signal as Functionally Related
4.5 Multivariate Probability Distribution Density
of Instantaneous Values of the Signal under the Stimulus
of Fluctuating Multiplicative Noise
4.6 Conclusions
References
5 Main Theoretical Principles of Generalized Approach
to Signal Processing under the Stimulus
of Multiplicative Noise
5.1 Basic Concepts
5.2 Criticism
5.3 Initial Premises
5.4 Likelihood Ratio
5.5 Engineering Interpretation
5.6 Generalized Detector
5.6.1 The Case of Slow Fluctuations
5.6.2 Case of Rapid Fluctuations
5.7 Distribution Law
5.7.1 Process at the Input Integrator
5.7.2 Process at the Output Integrator
5.8 Conclusions
References
6 Generalized Approach to Signal Processing
under the Stimulus of Multiplicative Noise
and Linear Systems
6.1 Signal Characteristics at the Output of Linear System
of the Generalized Detector under the Stimulus
of Multiplicative Noise
6.1.1 Deterministic and Quasideterministic Multiplicative
Noise
6.1.2 Stationary Fluctuating Multiplicative Noise
6.2 Signal Characteristics at the Generalized Detector Output
under the Stimulus of Multiplicative Noise
6.2.1 Periodic Multiplicative Noise
6.2.1.1 The Case TM < T2
6.2.1.2 The Case TM > T2
6.2.2 Fluctuating Multiplicative Noise
6.3 Signal Noise Component for Various Types of Signals
6.3.1 Frequency-Modulated Signals with Bell-Shaped
Envelope and Signals with Bell-Shaped Envelope
and Constant Radio Frequency Carrier
6.3.2 Signal with Square Wave-Form Envelope
and Constant Radio Frequency Carrier
6.3.3 Signals with Phase-Code Modulation
6.4 Signal Noise Component under the Stimulus of Slow
and Rapid Multiplicative Noise
6.4.1 Rapid Fluctuating Multiplicative Noise
6.4.2 Slow Fluctuating Multiplicative Noise
6.4.2.1 Signal with Constant Radio Frequency Carrier
and Square Wave-Form Amplitude Envelope
6.4.2.2 Signal with Bell-Shaped Amplitude Envelope
and Linear Frequency Modulation
6.4.2.3 Bell-Shaped Signal with Constant Radio
Frequency Carrier
6.5 Signal Distribution Law under the Stimulus
of Multiplicative Noise
6.6 Conclusions
References
7 Generalized Approach to Signal Detection in the Presence
of Multiplicative and Additive Gaussian Noise
7.1 Statistical Characteristics of Signals at the Output
of the Generalized Detector
7.1.1 Model of the Generalized Detector
7.1.1.1 Signal with Known Initial Phase
7.1.1.2 Signal with Unknown Initial Phase
7.1.2 Signal with Known Initial Phase
7.1.2.1 Periodic Multiplicative Noise
7.1.2.2 Fluctuating Multiplicative Noise
7.1.3 Signal with Unknown Initial Phase
7.1.3.1 Periodic Multiplicative Noise
7.1.3.2 Fluctuating Multiplicative Noise
7.2 Detection Performances of the Generalized Detector
7.2.1 Signal with Known Initial Phase
7.2.1.1 Periodic Multiplicative Noise
7.2.1.2 Fluctuating Multiplicative Noise
7.2.2 Signal with Unknown Initial Phase
7.2.2.1 Periodic Multiplicative Noise
7.2.2.2 Fluctuating Multiplicative Noise
7.2.3 Radar Range
7.2.4 Wide-Band Noise Signals in Communications
7.3 Known Correlation Function of the Multiplicative Noise
7.4 One-Channel Generalized Detector
7.4.1 Detection Performances
7.4.2 Statistical Characteristics
7.4.3 Comparative Analysis of Detection Performances
7.5 Diversity Signal Detection
7.6 Conclusions
References
8 Signal Parameter Measurement Precision
8.1 A Single Signal Parameter Measurement under
a Combined Stimulus of Weak Multiplicative
and Additive Gaussian Noise
8.1.1 Signal Frequency Measurement Precision
8.1.2 Signal Appearance Time Measurement Precision
8.1.3 Estimation of Precision of the Signal Frequency
and Signal Appearance Time Measurement
8.1.3.1 Signal with Bell-Shaped Amplitude Envelope
and Constant Radio Frequency Carrier
8.1.3.2 Frequency-Modulated Signal
8.2 Simultaneous Measurement of Two Signal Parameters
under a Combined Stimulus of Weak Multiplicative
and Additive Gaussian Noise
8.2.1 Simultaneous Measurement of Frequency
and Appearance Time of the Signal
8.2.2 Simultaneous Measurement of Frequency
and Appearance Time of the Frequency-Modulated
Signal
8.3 A Single Parameter Measurement under a Combined
Stimulus of High Multiplicative and Additive
Gaussian Noise
8.4 Conclusions
References
9 Signal Resolution under the Generalized Approach
to Signal Processing in the Presence of Noise
9.1 Estimation Criteria of Signal Resolution
9.2 Signal Resolution by Woodward Criterion
9.2.1 Signal Frequency Resolution Interval
9.2.2 Signal Appearance Time Resolution Interval
9.2.3 Examples of Resolution Interval Definition
9.2.3.1 Signal with a Bell-Shaped Amplitude Envelope
and Constant Radio Frequency Carrier
9.2.3.2 Linear Frequency-Modulated Signal
9.2.3.3 Phase-Modulated Signal with Square
Wave-Form Amplitude Envelope
9.3 Statistical Criterion of Signal Resolution
9.4 Conclusions
References
Appendix I
Appendix II
Notation Index
Signal processing noise.part1.rar
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好东东啊 :27bb :11bb
好東西.
一定和好朋友分享的嘛
謝謝樓主分享
好东西，顶
奖励奖励
希望楼主在以后发布资料时，能够把更详细的资料信息贴出来。
:31bb
:11bb :27bb :29bb :30bb
好东东啊 :11bb :11bb :11bb
:11bb :27bb :29bb :30bb
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本帖最后由 chisn 于 2009-10-6 20:01 编辑
非常棒的一本書籍
謝謝樓主的分享
谢谢楼主好啊
{:5_217:} 谢谢！
好東西.
一定和好朋友分享的嘛
謝謝樓主分享
谢谢！！！！！！！！！！！！！！！！
谢谢！！！！！！！！！！！！！！！！
谢谢楼主分享！！
Signal processing noise.part1.rar (1.81 MB) 
