Results 121 to 130 of about 451,315 (310)
Research on multi-target recognition method based on WSN and blind source separation
Aiming at the problem of signal aliasing in multi-target detection and recognition using wireless sensor network (WSN),a blind source separation algorithm was proposed,which can determine the number of targets and obtain the accurate source signals.In ...
Pengju HE, Gangyi LIU, Siyi LIU
doaj +2 more sources
This review systematically summarizes recent advances in porosity engineering of MXenes, with a focused discussion on their structure‐governed energy storage properties. A critical analysis of structure–property relationships is presented across alkali‐ion batteries, multivalent‐ion batteries, and supercapacitors.
Shude Liu +8 more
wiley +1 more source
Subsurface Object Detection Method using Blind Source Separation Algorithm
Accurate detection of underground anomalies such as voids, sinkholes, and buried cavities is critical for mitigating geohazards and protecting infrastructure.
Jose B. Lazaro, Jr +3 more
doaj +1 more source
Zonated osteochondral assembloid implants are engineered through scaffold‐free spatial assembly of induced pluripotent stem cell (iPSC)‐derived chondrocyte organoids and periosteum‐derived osteogenic organoids. Implanted into full‐thickness rat osteochondral defects, they promote hyaline‐like cartilage repair, support subchondral bone formation with ...
Liuqi Peng +3 more
wiley +1 more source
Blind Source Separation of Intermittent Frequency Hopping Sources over LOS and NLOS Channels. [PDF]
Ghosh A +4 more
europepmc +1 more source
A nano‐interception strategy disrupts pathogenic fibroblast–macrophage crosstalk in chronic heart failure. Scalable Prussian blue nanoparticles selectively sequester CCL2 via ultrahigh‐affinity binding, preventing CCR2+ macrophage recruitment and breaking a key fibro‐inflammatory circuit. This approach demonstrates robust efficacy in murine and porcine
Bo Chen +16 more
wiley +1 more source
Application of blind source separation in sound source separation
Abstract The classic method for solving the cocktail party problem is by utilizing Independent Component Analysis (ICA) method to separate different sounds. Since ICA method deals with each frequency point of the audio signal individually, there is a classic sorting problem. However, for Independent Vector Analysis (IVA), which makes use
openaire +1 more source
An Improved Blind Spectrum Sensing Technique for Cognitive Radio Systems
Cognitive radio technology has been proposed as a key solution for the problem of inefficient usage of spectrum bands. Spectrum sensing is one of the most important issues in each cognitive radio system.
Navid Tafaghodi Khajavi +2 more
doaj
The perspective presents an integrated view of neuromorphic technologies, from device physics to real‐time applicability, while highlighting the necessity of full‐stack co‐optimization. By outlining practical hardware‐level strategies to exploit device behavior and mitigate non‐idealities, it shows pathways for building efficient, scalable, and ...
Kapil Bhardwaj +8 more
wiley +1 more source
Distributed Blind Source Separation Based on FastICA
With the emergence of wireless sensor networks (WSNs), many traditional signal processing tasks are required to be computed in a distributed fashion, without transmissions of the raw data to a centralized processing unit, due to the limited energy and bandwidth resources available to the sensors.
Cem Ates Musluoglu, Alexander Bertrand
openaire +2 more sources

