Complex signals play an important role in signal processing and communication systems. This paper focuses on two types of complex signals: complex baseband and analytic bandpass signals. Analytic signals contain only ...
Complex signals play an important role in signal processing and communication systems. This paper focuses on two types of complex signals: complex baseband and analytic bandpass signals. Analytic signals contain only the positive frequency components of the original signal and can be efficiently computed using the FFT algorithm. Complex baseband signals represent modulated signals and can be generated using techniques such as quadrature modulation or discrete complex downconversion. Analytic bandpass signals have a non-zero centered bandwidth and can be generated using the FFT method or by directly generating a complex bandpass signal. In both cases, the signal can be manipulated using complex mixers and filters.
Power system analysis often involves studying the dynamics of oscillatory signals and transient events. Analytic signals provide a useful representation of real-meaured signals that contain both oscillatory and non-os...
Power system analysis often involves studying the dynamics of oscillatory signals and transient events. Analytic signals provide a useful representation of real-meaured signals that contain both oscillatory and non-oscillatory components. This work examines the application of discrete-time analytic signals to analyze power system signals using Kung's and Prony's method. These methods are used to estimate the oscillatory modes present in power system signals and their associated parameters. The performance of the methods is evaluated on simulated and real power system data. The analytic signal-based techniques are shown to produce accurate results and offer benefits for automated power system monitoring and disturbance analysis.
This paper presents a preliminary study on the use of machine learning-based methods to select the appropriate parameters of cascade filters in the analysis of brain signals recorded using functional infrared spectros...
详细信息
Fast reroute (FRR) mechanisms that can instantly handle network failures in the data plane are gaining attention in packet-switched networks. In FRR no notification messages are required as the nodes adjacent to the f...
详细信息
This paper presents a novel approach for head tracking in augmented reality (AR) flight simulators using an adaptive fusion of Kalman and particle filters. This fusion dynamically balances the strengths of both algori...
详细信息
In this paper smoothing filters were applied in order to improve inverted pendulum’s movement trajectory. The filtering was implemented in order to remove some signals’ artifacts. The authors tested various classica...
详细信息
Indonesia is an archipelagic state and has various geographical conditions. This situation presents its own challenges for Indonesia in providing reliable electricity for the community, especially for the 3T (Frontier...
详细信息
The paper presents the comparison of fractional order to integer order transfer function models of physical pendulum. The considered transfer functions describe the behaviour of the system around the lower, stable equ...
详细信息
This contribution deals with identification of bioimpedance spectroscopy parameters for implementation on embedded platforms. The paper’s goal is to present method which is suitable for implementation in microcontrol...
详细信息
The paper presents a new, discrete, memory-effective state-space model of fractional RLC network. For the presented model its stability, positivity and reaction to different inital functions are analysed. Results are ...
详细信息
暂无评论