Information transmission systems. Tom1. Theory of signals, analogue modulations

Preface
List of the most important markings

Part I Elements of signal theory

1. Signal processing systems
2. Basic types of signals
3. Approximation of signals
3.1. Approximation by a set of mutually orthogonal functions
3.2. Approximation by a set of complex orthogonal functions
3.3. Error approximation rating
3.4. Examples of orthogonal functions
3.5. Sequential functions and their application
3.6. Walsh transformation
3.7. Two-dimensional Walsh transformation
4. Analytical signal and Hilbert transform
5. Special methods of spectral analysis
5.1. Spectra of functions that are not absolutely integrable
5.2. Discrete Fourier transform
5.2.1. Modified method of ZOOM-FFT spectral analysis
5.3. Spectral analysis of non-stationary signals
5.4. Adaptation of the Fourier integral to the analysis of real waveforms
5.4.1. Evolutionary spectrum
5.4.2. The momentary spectrum
5.4.3. Medium spectrum and peak spectrum
5.4.4. Complex demodulation
5.4.5. Stationarity and ergodicity of the signal in the spectral sense
5.4.6. Ergodicity of the signal spectrum
5.5. Cepstral analysis
5.6. Shock spectrum
5.6.1. Determination of the impact spectrum
5.6.2. The relationship between the Fourierist spectrum
and the impact spectrum
5.6.3. Higher order systems
6. Correlation and spectral density functions
6.1. Correlation coefficients and correlation functions
6.1.1. Correlation functions of deterministic signals
6.1.2. Weave and its relationship with the correlation function
6.2. Spectrum energy and power density
6.3. Measurement of the correlation function
6.4. Measurement of spectral density
6.5. A two-dimensional autocorrelation function
6.6. Discreet autocorrelation function
6.6.1. Discrete function of mutual correlation
7. The Paley-Wiener physical implementation criterion
8. Criteria for determining the effective duration
signals and the width of the spectrum of signals

Part II Analog modulations

9. Modulation
9.1. Modulation and amplitude detection
9.2. Amplitude modulation with the carrier wave level
9.3. Synchronous detection
9.4. Asynchronous detection
9.5. The power of the modulated signal
9.6. Single-stream transmission
9.7. Detection of a single-band signal with
a synchronous detector
9.8. Systems with a carrier wave introduced in the receiver
9.9. Comparison of different amplitude modulation systems
9.10. Frequency multiplication
9.11. A square trenches a frequency transformation system
10. Modulation and angle detection
10.1. Frequency modulation
10.2. Narrowband frequency modulation
10.3. Broadband frequency modulation
10.4. The power content of the carrier wave and side bands
10.5. Multiple frequency modulation
10.6. Methods for producing modulated signals
10.7. Demodulation frequency
11. noise in modulation systems
11.1. Types of noise
11.2. Calculation of noise
11.2.1. Nyuist theorem on thermal noise
11.2.2. Calculation of noise in case
any source of noise
11.2.3. The case of many sources of noise
11.2.4. Noise coefficients
11.3. Band noise representation
11.4. Noise in systems with amplitude modulation
11.4.1. Double-band bias with suppressed carrier wave
11.4.2. Single-side modulation without carrier wave
11.4.3. Modulation with a carrier wave
11.5. Noise in frequency-modulated systems
11.5.1. Improvement of the threshold by means of pre-emphasis and de-emphasis

Literature
Annex 1 - Stochastic processes
Annex 2 - Examples of stochastic processes