## 1 Introduction  
Acoustic emission technique (AET) is one of the structural health monitoring methods and provides information about the fracture processes within a material. Concrete is the most heterogeneously structured construction material, and thus it has been a matter of curiosity how the elastic wave is affected in this medium until it reaches a sensor considering the practical application in the field. Accordingly, numerous studies reveal that the wave is deteriorated due to the inhomogeneity of concrete content. While [PERSON] and [PERSON] (2005) investigated the effects of aggregate size on attenuation [1], [PERSON] and [PERSON] (2008) revealed that wave velocity is not affected by only damage size but also the amount of the damage [2] and [PERSON] and [PERSON] (2012) pointed out that the shape of inhomogeneity has a strong influence on attenuation, as well [3]. In addition, [PERSON] and [PERSON] (2019) indicated that wave attenuation in concrete also depends on air voids, and cubic aggregates are more attenuative than round aggregates [4]. [PERSON] and [PERSON] (2019) presented hydration duration-wave velocity and wave propagation distance-attenuation relationships for cement paste, cement mortar, and concrete specimens [5]. The main reason of these cases, stated by [PERSON] et al. (2020) is that elastic wave attenuation increasesas the impedance differences between two materials increase [6]. On the other hand, these signal distortions alter the wave velocity, which is a significant factor affecting AE evaluation results [7]. For instance, [PERSON] et al. (2009) pointed out that wave velocities increased after cement injection on large concrete surfaces [8]. [PERSON] et al. (2014) revealed that ultrasonic wave velocity is related to damage content in artificial damaged cement-based materials [9], and [PERSON] and [PERSON] (2018) evaluated the effects of grains on velocity and attenuation of the elastic wave in light EPS concrete [10]. In other words, in a medium having more discontinuities, the wave decelerates and causes a more distorted signal to be recorded by the sensor. While this phenomenon can be useful for tomographic visualization of concrete [11], it gives erroneous results for AET about the source because of all these effects on AE signal parameters [12]. As the medium heterogeneity or wave propagation path length increases, amplitude, energy, and duration of the AE signal decrease [13; 14], frequency changes [13; 15], and inaccurate results are obtained as to the type and location of the damage due to changes in rise time and arrival time [3; 12]. [PERSON] et al. (2018) identified relationships between wave propagation path and concrete properties [16]. Their findings show that an AE signal's energy, amplitude, duration, and count parameters decrease exponentially, and the attenuation increases linearly with the water/cement ratio. [PERSON] and [PERSON] (2021) indicated that propagation path significantly affects the accuracy of estimated source location [17]. [PERSON] et al. (2021) showed that AE ring count and rise time gradually decrease with the propagation distance, and the specimens with a larger aggregate particle size experience a relatively rapid increase [18]. [PERSON] et al. (2022) found that the different propagation modes of acoustic waves in concrete have different attenuation, related to the position relationship between the source and the sensor, the propagation path, and path quality [19]. Considering all these effects of source position and propagation path, distorted AE signals should be corrected before analysis or automatically if the structure is monitored real-time in the field. To eliminate the effects of these problems on AE signals, [PERSON] et al. (2015, 2018) suggested parameter correction technique (PCT) for a two-dimensional material, carbon fiber-reinforced polymer [20; 21]. Their findings showed the ability to use all sensors' data to improve accuracy and avoid losing data.