Random signal processing Xidian Zhao Guoqing

Random signals, also known as uncertain signals, refer to signals that cannot be expressed by a certain time function and are called random signals. Generally, the frequency domain of this type of signal is continuous, while the function signal is an intermittent random signal that cannot be described by a certain mathematical relationship. It cannot predict any future instantaneous value. Any observation only represents its range of variation. One of the possible results, whose value changes obey statistical laws. It is not a definite function of time, and it has no definite function value at any time within the domain of definition.

• Chapter 1：Introduction (1) (24 minutes and 45 seconds)

• Chapter 2：Introduction (2) (23 minutes and 35 seconds)

• Chapter 3：Introduction (3) (23 minutes and 26 seconds)

• Chapter 4：Introduction (4) (20 minutes and 10 seconds)

• Chapter 5：Introduction (5) (27 minutes and 16 seconds)

• Chapter 6：Introduction (6) (29 minutes and 20 seconds)

• Chapter 7：Introduction (7) (25 minutes and 3 seconds)

• Chapter 8：Introduction (8) (20 minutes and 48 seconds)

• Chapter 9：Introduction (9) (20 minutes and 4 seconds)

• Chapter 10：Introduction (10) (20 minutes and 52 seconds)

• Chapter 11：Introduction (11) (20 minutes and 1 seconds)

• Chapter 12：stochastic process (30 minutes and 18 seconds)

• Chapter 13：Basic concepts of random processes (1) (20 minutes and 6 seconds)

• Chapter 14：Basic concepts of random processes (2) (21 minutes and 38 seconds)

• Chapter 15：Stationary random process (1) (24 minutes and 28 seconds)

• Chapter 16：Stationary random process (2) (28 minutes and 48 seconds)

• Chapter 17：Stationary random process (3) (20 minutes and 28 seconds)

• Chapter 18：Stationary random process (4) (19 minutes and 24 seconds)

• Chapter 19：Joint Stationary Stochastic Process (1) (21 minutes and 52 seconds)

• Chapter 20：Joint Stationary Stochastic Process (2) (21 minutes and 21 seconds)

• Chapter 21：Discrete time random process (1) (18 minutes and 42 seconds)

• Chapter 22：Discrete time random process (2) (19 minutes and 31 seconds)

• Chapter 23：Normal random process (1) (21 minutes and 46 seconds)

• Chapter 24：Normal random process (2) (26 minutes and 11 seconds)

• Chapter 25：Spectral analysis of stationary random processes (1) (25 minutes and 23 seconds)

• Chapter 26：Spectral analysis of stationary random processes (2) (21 minutes and 25 seconds)

• Chapter 27：Spectral analysis of stationary random processes (3) (21 minutes and 40 seconds)

• Chapter 28：Spectral Analysis of Stationary Random Processes (4) (20 minutes and 53 seconds)

• Chapter 29：Linear Transformation of Stochastic Process (1) (20 minutes and 51 seconds)

• Chapter 30：Linear Transformation of Random Process (2) (24 minutes and 15 seconds)

• Chapter 31：Linear Transformation of Random Process (3) (21 minutes and 2 seconds)

• Chapter 32：Linear Transformation of Random Process (4) (26 minutes and 44 seconds)

• Chapter 33：Differential and integral processes of stochastic processes (1) (21 minutes and 28 seconds)

• Chapter 34：Differential and integral processes of stochastic processes (2) (23 minutes and 32 seconds)

• Chapter 35：Analysis of stochastic processes through continuous time systems (1) (22 minutes and 40 seconds)

• Chapter 36：Analysis of stochastic processes through continuous time systems (2) (24 minutes and 14 seconds)

• Chapter 37：Analysis of stochastic processes through continuous time systems (3) (20 minutes and 49 seconds)

• Chapter 38：Analysis of stochastic processes through continuous time systems (4) (24 minutes and 41 seconds)

• Chapter 39：Analysis of stochastic processes through continuous time systems (5) (21 minutes and 9 seconds)

• Chapter 40：Analysis of stochastic processes through discrete-time systems (20 minutes and 1 seconds)

• Chapter 41：White noise through linear systems (1) (22 minutes and 40 seconds)

• Chapter 42：White noise through linear systems (2) (24 minutes and 37 seconds)

• Chapter 43：White noise through linear system (3) (29 minutes and 41 seconds)

• Chapter 44：White noise through linear system (4) (33 minutes and 54 seconds)

• Chapter 45：White noise through linear system (5) (23 minutes and 6 seconds)

• Chapter 46：Probability distribution after linear transformation of random process (23 minutes and 20 seconds)

• Chapter 47：Representation of narrowband signals (29 minutes and 3 seconds)

• Chapter 48：Analyzing signals and Hilber transform (1) (29 minutes and 36 seconds)

• Chapter 49：Analyzing signals and Hilber transform (2) (25 minutes and 58 seconds)

• Chapter 50：Analyzing complex stochastic processes (1) (24 minutes and 9 seconds)

• Chapter 51：Analyzing complex stochastic processes (2) (25 minutes and 2 seconds)

• Chapter 52：Analyzing complex stochastic processes (3) (20 minutes and 48 seconds)

• Chapter 53：Analyzing complex stochastic processes (4) (21 minutes and 11 seconds)

• Chapter 54：Analyzing complex stochastic processes (5) (20 minutes and 1 seconds)

• Chapter 55：Analyzing complex stochastic processes (6) (20 minutes and 55 seconds)

• Chapter 56：Analyzing complex stochastic processes (7) (19 minutes and 34 seconds)

• Chapter 57：Probability distributions of envelopes and phases of narrowband normal processes (32 minutes and 31 seconds)

• Chapter 58：Stationary narrowband stochastic process (1) (21 minutes and 25 seconds)

• Chapter 59：Stationary narrowband stochastic process (2) (20 minutes and 7 seconds)

• Chapter 60：Stationary narrowband stochastic process (3) (20 minutes and 52 seconds)

• Chapter 61：Overview of nonlinear transformations (24 minutes and 39 seconds)

• Chapter 62：Direct method for nonlinear transformation of stochastic processes (1) (20 minutes and 22 seconds)

• Chapter 63：Direct method for nonlinear transformation of stochastic processes (2) (24 minutes and 18 seconds)

• Chapter 64：Direct method for nonlinear transformation of stochastic processes (3) (18 minutes and 27 seconds)

• Chapter 65：Direct method for nonlinear transformation of stochastic processes (4) (18 minutes and 11 seconds)

• Chapter 66：Transformation method for nonlinear transformation of stochastic processes (1) (21 minutes and 42 seconds)

• Chapter 67：Transformation method for nonlinear transformation of stochastic processes (2) (19 minutes and 22 seconds)

• Chapter 68：Slowly varying envelope method for nonlinear transformation of stochastic processes (1) (20 minutes and 13 seconds)

• Chapter 69：Slowly varying envelope method for nonlinear transformation of stochastic processes (2) (20 minutes and 9 seconds)

• Chapter 70：Analysis of random process passing through limiter (1) (28 minutes and 5 seconds)

• Chapter 71：Analysis of random process passing through limiter (2) (24 minutes and 2 seconds)

• Chapter 72：Calculation of signal-to-noise ratio at the output of a radio system (21 minutes and 55 seconds)